Name: Microsoft Office Skills (Microsoft Excel, Word, PowerPoint), Administration & IT Training
Price: 12 GBP
Availability: InStock

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p></p><li>Network Security Operations</li><br /><li>Workload Application Administrators</li><br /><li>Security Operations</li><br /><li>Field Engineers</li><br /><li>Network Engineers</li><br /><li>Systems Engineers</li><br /><li>Technical Solutions Architects</li><br /><li>Cisco Integrators and Partners</li><p></p>Overview<p>After taking this course, you should be able to:<br /></p><li>Define the Cisco telemetry and analytics approach.</li><br /><li>Explore common scenarios that Cisco Tetration Analytics can solve.</li><br /><li>Describe how the Cisco Tetration Analytics platform collects telemetry and other context information.</li><br /><li>Discuss how relative agents are installed and configured.</li><br /><li>Explore the operational aspects of the Cisco Tetration Analytics platform.</li><br /><li>Describe the Cisco Tetration Analytics support for application visibility or application insight based on the Application Dependency Mapping (ADM) feature.</li><br /><li>List the concepts of the intent-based declarative network management automation model.</li><br /><li>Describe the Cisco Tetration policy enforcement pipeline, components, functions, and implementation of application policy.</li><br /><li>Describe how to use Cisco Tetration Analytics for workload protection in order to provide a secure infrastructure for business-critical applications and data.</li><br /><li>Describe Cisco Tetration Analytics platform use cases in the modern heterogeneous, multicloud data center.</li><br /><li>List the options for the Cisco Tetration Analytics platform enhancements.</li><br /><li>Explain how to perform the Cisco Tetration Analytics administration.</li><p></p><p>This course teaches how to deploy, use, and operate CiscoÂ© Tetration Analytics? platform for comprehensive workload-protection and application and network insights across a multicloud infrastructure. You will learn how the Cisco Tetration Analytics platform uses streaming telemetry, behavioral analysis, unsupervised machine learning, analytical intelligence, and big data analytics to deliver pervasive visibility, automated intent-based policy, workload protection, and performance management.</p></div><div id="course-pills-2"><h4>Exploring Cisco Tetration</h4><ul><li>Data Center Challenges</li><li>Define and Position Cisco Tetration</li><li>Cisco Tetration Features</li><li>Cisco Tetration Architecture</li><li>Cisco Tetration Deployment Models</li><li>Cisco Tetration GUI Overview</li></ul><h4>Implementing and Operating Cisco Tetration</h4><ul><li>Explore Data Collection</li><li>Install the Software Agent</li><li>Install the Hardware Agent</li><li>Import Context Data</li><li>Describe Cisco Tetration Operational Concepts</li></ul><h4>Examining Cisco Tetration ADM and Application Insight</h4><ul><li>Describe Cisco Tetration Application Insight</li><li>Perform ADM</li><li>Interpret ADM Results Application Visibility</li></ul><h4>Examining Cisco Tetration Intent-Based Networking</h4><ul><li>Describe Intent-Based Policy</li><li>Examine Policy Features</li><li>Implement Policies</li></ul><h4>Enforcing Tetration Policy Pipeline and Compliance</h4><ul><li>Examine Policy Enforcement</li><li>Implement Application Policy</li><li>Examine Policy Compliance Verification and Simulation</li></ul><h4>Examining Tetration Security Use Cases</h4><ul><li>Examine Workload Security</li><li>Attack Prevention</li><li>Attack Detection</li><li>Attack Remediation</li></ul><h4>Examining IT Operations Use Cases</h4><ul><li>Key Features and IT Operations Use Cases</li><li>Performing Operations in Neighborhood App-based Use Cases</li></ul><h4>Examining Platform Enhancement Use Cases</h4><ul><li>Integrations and Advanced Features</li><li>Third-party Integration Examples</li><li>Explore Data Platform Capabilities</li></ul><h4>Exploring Cisco Tetration Analytics Administration</h4><ul><li>Examine User Authentication and Authorization</li><li>Examine Cluster Management</li><li>Configure Alerts and Syslog</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Implementing Cisco Tetration Analytics v1.0 (DCITET) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Implementing Cisco Tetration Analytics v1.0 (DCITET) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Certified Technology Specialist (CTS)

CompTIA Network+

IT Certifications

Cisco Certified Entry Networking Technician (CCENT)

Cisco Certified Internetwork Expert (CCIE)

Cisco Implementing Cisco Tetration Analytics v1.0 (DCITET)

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			<h2>Overview
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					<p><span>The demand for skilled cybersecurity professionals is soaring in today's digital landscape. </span><b>The CompTIA CySA+ Cybersecurity Analyst (CS0-002) course is your gateway to a lucrative and rewarding career in this high-demand industry.</b></p><p><span>This course delves deep into various aspects of cybersecurity, </span><b>from threat analysis and vulnerability identification to incident response and digital forensics. It's designed to ensure you're ready to excel in the field.</b><span> This course covers various</span><b> topics, including threat intelligence, vulnerability identification, incident response, and forensics analysis. </b></p><p><b>With 60+ hours of engaging content, our expert instructors will equip you with the knowledge and skills required to excel in the CompTIA CySA+ certification exam and kickstart your career in cybersecurity.</b></p><p><span>Enrol in the CompTIA CySA+ Cybersecurity Analyst (CS0-002) course today and secure your future in this high-demand industry!</span></p>					</div>
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					<p>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.<br /></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this </span><b><span>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</span></b>. It is available to all students, of all academic backgrounds.</p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our </span><b><span>CompTIA CySA+ Cybersecurity Analyst (CS0-002) </span></b>is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>22 sections • 96 lectures • 11:35:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction: 00:02:00</p></div><div><div><p>•All about the Exam: 00:08:00</p></div><div><div><p>•What's New on the CompTIA CySA+ Exam?: 00:05:00</p></div><div><div><p>•Meet the Instructors: 00:02:00</p></div><div><div><p>•Thinking like the Enemy: 00:09:00</p></div><div><div><p>•Tools of the Trade: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Intelligence Sources and Confidence Levels: 00:08:00</p></div><div><div><p>•Threat Indicators and Actors: 00:08:00</p></div><div><div><p>•Threat Trends: 00:07:00</p></div><div><div><p>•Intelligence Cycle and ISACs: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Attack Frameworks: 00:06:00</p></div><div><div><p>•Threat Research: 00:11:00</p></div><div><div><p>•Threat Modeling and Intelligence Sharing: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Vulnerability Identification: 00:07:00</p></div><div><div><p>•Scanning Parameters and Criteria: 00:09:00</p></div><div><div><p>•Scanning Special Considerations: 00:06:00</p></div><div><div><p>•Validation: 00:03:00</p></div><div><div><p>•Remediation and Mitigation: 00:08:00</p></div><div><div><p>•Inhibitors to Remediation: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Web Applications Scanners, Part 1: 00:10:00</p></div><div><div><p>•Web Applications Scanners, Part 2: 00:05:00</p></div><div><div><p>•Scanning: 00:06:00</p></div><div><div><p>•Configuring and Executing Scans: 00:08:00</p></div><div><div><p>•Vulnerability Scanning: 00:10:00</p></div><div><div><p>•Reverse Engineering: 00:08:00</p></div><div><div><p>•Enumeration: 00:06:00</p></div><div><div><p>•Wireless Assessment Tools: 00:08:00</p></div><div><div><p>•Cloud Assessment Tools: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Mobile and IoT: 00:10:00</p></div><div><div><p>•Embedded and Firmware Systems (RTOS, SoC, and FPGA): 00:09:00</p></div><div><div><p>•Access and Vehicles Risk: 00:08:00</p></div><div><div><p>•Automation and Control Risk: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Cloud Models: 00:07:00</p></div><div><div><p>•Remote Service Invocation (FaaS, IaC, API): 00:10:00</p></div><div><div><p>•Cloud Vulnerabilities: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Injection and Overflow Attacks: 00:09:00</p></div><div><div><p>•Injection and Overflow Attacks: 00:09:00</p></div><div><div><p>•Exploits: 00:08:00</p></div><div><div><p>•Application Vulnerabilities, Part 1: 00:08:00</p></div><div><div><p>•Application Vulnerabilities, Part 2: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Network Architecture and Asset Management: 00:09:00</p></div><div><div><p>•Protecting Your Territory: 00:05:00</p></div><div><div><p>•Identity and Access Management: 00:11:00</p></div><div><div><p>•Encryption and Active Defense: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Platforms: 00:07:00</p></div><div><div><p>•SOA and DevSecOps: 00:09:00</p></div><div><div><p>•Secure Software Development: 00:08:00</p></div><div><div><p>•Best Coding Practices: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Trusted Hardware: 00:10:00</p></div><div><div><p>•Hardware Encryption: 00:04:00</p></div><div><div><p>•Hardware Security: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Analytics: 00:10:00</p></div><div><div><p>•Endpoint Security: 00:08:00</p></div><div><div><p>•Recon Results, Part 1: 00:13:00</p></div><div><div><p>•Recon Results, Part 2: 00:05:00</p></div><div><div><p>•Impact Analysis: 00:05:00</p></div><div><div><p>•Collective Tools: 00:09:00</p></div><div><div><p>•Query Writing: 00:07:00</p></div><div><div><p>•E-mail Analysis, Part 1: 00:10:00</p></div><div><div><p>•E-mail Analysis, Part 2: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Permissions: 00:09:00</p></div><div><div><p>•Firewalls: 00:08:00</p></div><div><div><p>•Intrusion Prevention Rules: 00:05:00</p></div><div><div><p>•DLP and Endpoint Detection: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Threat Hunting and the Hypothesis: 00:06:00</p></div><div><div><p>•Threat Hunting Process: 00:07:00</p></div><div><div><p>•Results and Benefits: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Workflow and Scripting: 00:07:00</p></div><div><div><p>•API and Malware Signature Creation: 00:08:00</p></div><div><div><p>•Threat Feeds and Machine Learning: 00:06:00</p></div><div><div><p>•Protocols, Standards, and Software Engineering: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•IR Roles and Responsibilities: 00:08:00</p></div><div><div><p>•IR Active Preparation: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Incident Response Process: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Network Symptoms: 00:04:00</p></div><div><div><p>•Host Symptoms: 00:08:00</p></div><div><div><p>•Application Symptoms: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Digital Forensics: 00:10:00</p></div><div><div><p>•Seizure and Acquisitions: 00:05:00</p></div><div><div><p>•Forensics Acquisition Tools: 00:09:00</p></div><div><div><p>•Mobile, Virtualization, and Cloud: 00:06:00</p></div><div><div><p>•Forensics Analysis, Part 1: 00:04:00</p></div><div><div><p>•Forensics Analysis, Part 2: 00:08:00</p></div><div><div><p>•Packet Capture: 00:12:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Privacy and Security: 00:06:00</p></div><div><div><p>•Nontechnical Controls: 00:09:00</p></div><div><div><p>•Technical Controls: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Business Impact Analysis: 00:05:00</p></div><div><div><p>•Risk Identification: 00:05:00</p></div><div><div><p>•Risk Calculation and Communication: 00:06:00</p></div><div><div><p>•Training: 00:04:00</p></div><div><div><p>•Supply Chain Assessment: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Frameworks: 00:13:00</p></div><div><div><p>•Policies and Procedures: 00:05:00</p></div><div><div><p>•Controls and Procedures: 00:08:00</p></div><div><div><p>•Verification: 00:06:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Certified in Cybersecurity (CC)

Certificate in Information Security Management Principles (CISMP)

Cyber Security

Cyber Security Foundation

CompTIA A+

CompTIA Security+

CompTIA CySA+ Cybersecurity Analyst (CS0-002)

General Admission

<p>Digital marketing is not just a "secure" professional route in today's economy, but it is also a flourishing employment market! Digital marketing is a terrific option because the need for it is growing every day in the UK. Companies used to promote on television, radio, and in newspapers, but now they are more focused on advertising on digital media. This course will get you up and running quickly in gaining the fundamental skills and training needed to establish your career as a digital marketer.</p> <p>Digital Skills: Digital Marketing is the best digital marketing course for people who want to learn how to leverage social media and popular online apps to increase product and service recognition. You'll be led through real-world instances and methods, as well as learning activities designed to help you create extremely successful commercials. After completing this course, you will be able to develop and execute first-rate marketing campaigns utilising email, SEO, and a variety of other tactics. This knowledge will be important for your CV when applying for senior positions in this industry.</p> <p><strong>After this course, you will be able to:</strong></p> <ul> <li>Learn the fundamentals of SEO</li><li>Improve your understanding of Google AdWords and Google Analytics</li><li>Learn efficient Facebook marketing strategies</li><li>Learn about lead-creation tactics</li><li>Discover the fundamentals of email marketing</li><li>Learn about the Content Management System (CMS)</li><li>Develop your knowledge of strategic marketing, sales growth, and other areas</li><li>Discover the ideal step-by-step LinkedIn marketing strategy</li><li>Learn how to create Instagram leads</li><li>Discover how they increased their internet sales</li><li>Learn how much money to put into internet marketing</li><li>Discover how to boost their conversion rate and convert website visitors into paying clients</li><li>Learn how Google, Facebook, Amazon, and other online "monsters" employ internet marketing methods</li><li>Discover how to use a list-building method</li></ul> <p><strong>Why Prefer this Digital Skills: Digital Marketing Course? </strong></p> <ul> <li>Opportunity to earn a certificate accredited by <strong>CPD </strong>after completing this course</li><li><strong>Student ID card </strong>with amazing discounts - completely for <strong> FREE! </strong>(£10 postal charges will be applicable for international delivery)</li><li>Standards-aligned lesson planning</li><li>Innovative and engaging content and activities</li><li>Assessments that measure higher-level thinking and skills</li><li>Complete the program in your own time, at your own pace</li><li>Each of our students gets full 24/7 tutor support</li></ul> <p>Experts created the Digital Skills: Digital Marketing course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you.</p> <p>Start your learning journey straight away with this course and take a step toward a brighter future!</p> <p><strong>*** Course Curriculum ***</strong></p> <p>Here is the curriculum breakdown of the course:</p> <p><strong>Module 01: Introduction</strong></p> <p>This module covers the following topics:</p> <ul> <li>Welcome</li></ul> <p><strong>Module 02: General Tips &amp; Tricks Series</strong></p> <p>This module covers the following topics:</p> <ul> <li>How to register your company</li><li>How to see Email Sender's Company and Logo in Your Gmail</li><li>How to Generate a sitemap of a website</li><li>How to protect a website from Spam on WordPress</li><li>Quick way to identify whether the website is Mobile optimized</li><li>How to identify registration data of website</li><li>How to identify duplicate content from the web</li><li>How to create google alerts</li><li>How to find the age of the domain</li><li>How to check if the website server is down</li><li>How to create text notes that will self destruct after being read</li><li>How to send google search information to your friends</li><li>How to find webhost of any website</li><li>Discover new sites that are similar to what you like alredy</li><li>How to easily highlight the important parts of a web page</li><li>How to share you email online without worrying about spam</li><li>How to get compute level answers without searching</li><li>The easiest way to setup email reminders</li><li>How to find the original URL tht's hiding behind a short URL</li><li>How to corrupt a file you shared online</li><li>How to create a throwaway email</li><li>How to check if your email account has been compromised</li></ul> <p><strong>Module 03: SEO (Search Engine Optimisation)</strong></p> <p>This module covers the following topics:</p> <ul> <li>How to register website on Google search console</li><li>How to Optimize your website homepage</li><li>How to add a sitemap on google search</li><li>How to shortlist targeted keyword list in google keyword planner</li><li>How to set international targeting on google search</li><li>How to remove a URL from google search engine</li><li>How to identify competitors keyword</li><li>How to leverage top sites to get on google search results</li><li>Discover powerful data analytics to mesure SEO performance</li><li>How to do keyword research</li><li>How to write perfect title tags for search engines</li><li>How to optimise heading tags, external and internal links</li><li>What are backlinks &amp; how to get them</li><li>How to write a perfect Meta description</li><li>How to enhance speed &amp; performance of your website</li></ul> <p><strong>Module 04: YouTube</strong></p> <p>This module covers the following topics:</p> <ul> <li>Youtube account setup</li><li>Account optimization</li><li>How to create &amp; setup Youtube channel banner</li><li>Youtube channel tags, thumbnails &amp; custom thumbnails</li><li>Analyse Youtube keyword research</li><li>Youtube SEO techniques</li><li>What are Youtube cards &amp; how does it work</li><li>How to optimise comments &amp; reply them in bulk</li><li>How to grow your channel with competitor Analysis</li><li>How to manage multiple YouTube accounts</li><li>A simple yet powerful trick to increase your subscribers list</li><li>Youtube Paid Advertising</li><li>How to monetise your YouTube channel</li></ul> <p><strong>Module 05: Google AdWords</strong></p> <p>This module covers the following topics:</p> <ul> <li>What are Google Ads &amp; how does it work</li><li>Account setup</li><li>Competitors analysis</li><li>Campaign types &amp; how to select the right campaign</li><li>Bids &amp; Budgets</li><li>How to target the right audience</li><li>Google Ads advance campaign settings</li><li>Choosing the right keywords</li><li>How to write ads that gets more clicks</li></ul> <p><strong>Module 06: Google Analytics</strong></p> <p>This module covers the following topics:</p> <ul> <li>How to install tracking code on your website</li><li>How to add filters &amp; remove internal traffic</li><li>How to track paid campaigns</li><li>How to look and analyse different segment data</li><li>How to configure goals in google analysics</li><li>How to link google Adwords account</li><li>How to manage multiple analytics accounts</li><li>How to remove spam traffic</li></ul> <p><strong>Module 07: Email Marketing</strong></p> <p>This module covers the following topics:</p> <ul> <li>Email marketing tools set up ( Mailchimp and Gestresponse)</li><li>How to install signup or popup forms on the website</li><li>How to collect email address without a wbsite</li><li>How to create a 'Hook' to your signup forms</li><li>Discover the psychology behind acquiring more leads</li><li>Email marketing automation process</li><li>Email analytics</li></ul> <p><strong>Module 08: Linkedln</strong></p> <p>This module covers the following topics:</p> <ul> <li>How to increase your connections in no time</li><li>Secret of LinkedIn InMails</li><li>Discover the best ways to use Linkedin Groups</li><li>How to setup a company page on Linkedin</li><li>How to increase traffic to your website using Linkedin blog</li></ul> <p><strong>Module 09: Twitter</strong></p> <p>This module covers the following topics:</p> <ul> <li>Twitter Account setup</li><li>Knowing Twitter features</li><li>Following twitter accounts</li><li>Twitter profile optimisation</li><li>How to get Twitter followers</li><li>Posting first 5 tweets for engagement</li><li>Leveraging Hashtags to increase your tweets visibility</li><li>What are twitter polls &amp; how do you use them</li><li>A powerful trick to acquire customers on twitter</li><li>How to get followers retweet your post</li><li>How to embed a twitter button to your website or post</li><li>Twitter analytics</li></ul> <p><strong>Module 10: Facebook</strong></p> <p>This module covers the following topics:</p> <ul> <li>Set your Facebook page</li><li>Facebook Icon, cover image &amp; description</li><li>How to get your first page likes</li><li>Discover how to increase your page likes</li><li>How to manage multiple Facebook page</li><li>Facebook comments</li><li>Leveraging Facebook groups</li><li>Facebook Autoposting</li><li>Run a competition</li><li>Facebook Ads</li><li>How to get best out of Facebook</li><li>Facebook pixel &amp; Re-marketing</li></ul> <p><strong>Module 11: Instagram</strong></p> <p>This module covers the following topics:</p> <ul> <li>How to setup a Instagram business profile</li><li>Set up Instagram bio &amp; profile image</li><li>Leveraging Instagram accounts</li><li>A simple way to create free content on Instagram</li><li>Secret of hashtags on Instagram</li><li>Reposting Instagram App</li><li>How to get genuine Instagram followers</li><li>Discover how to grow your business through Instagram stories</li><li>How to get your posts reposted on Instgram by influncers</li></ul> <p><strong>Module 12: Mobile App</strong></p> <p>This module covers the following topics:</p> <ul> <li>A quick way to do App store marketing research</li><li>How to discover the estimate size of your market</li><li>Discover the best ways to promote your app</li><li>App installs via Facebook Ads</li><li>App installs via Google Ads</li><li>How to make money from your app</li><li>How to optimise your App store listing ?</li><li>Discover growth hacking techniques for App downloads</li><li>Techniques to get to the top of App store ranking</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <p><strong>This Digital Skills: Digital Marketing course is suitable for:</strong></p> <ul> <li>Individuals who are seeking to acquire digital marketing skills and knowledge</li><li>Professionals who want to improve their digital marketing skills</li><li>Business owners who want to learn how to market their business online</li><li>Individuals who are interested in pursuing a career in digital marketing</li><li>Professionals who are looking to improve their digital marketing skills for career advancement or to increase their employability</li><li>Entrepreneurs and small business owners who want to learn how to promote their products or services online effectively</li><li>Marketing or business students looking to expand their skill set and stay up-to-date with the latest digital marketing trends and tools</li><li>Non-marketing professionals who want to learn digital marketing skills to improve their job prospects or add value to their current role</li></ul>  
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>The program does not require any prior knowledge; everyone may participate! This course is open to anyone interested in learning from anywhere in the world.</p> <p>Every student must be over the age of 16 and have a passion for learning and literacy.</p> <p>This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This Digital Skills: Digital Marketing course allows you to study at your speed and grow a quality skillset.</p> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <ul> <li>Marketing Executive (£20,000 to £50,000)</li><li>Advertisers (£20,000 to £80,000)</li><li>Market Researcher (£17,000 to £24,000)</li><li>Advertising Media Buyer (£21,000 to £36,000)</li><li>Brand Manager (£27,000 to £65,000)</li><li>Advertising Media Planner (£18,000 to £50,000)</li></ul> 
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            £10
        </p>
        <h4>CPD Accredited Certificate</h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div> <p>If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.</p> </div>

                        </div>

Academy for Health and Fitness

Digital Skills: Digital Marketing

Packt

Java

Sitecore

Apache Spark

Data Analysis

Python

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

Apache Spark 3 for Data Engineering and Analytics with Python

<div>
        <div>
            <h2>
                Recognised Accreditation
            </h2>
            <p>This course is accredited by continuing professional development (CPD). CPD UK is globally
                recognised by employers, professional organisations, and academic institutions, thus a
                certificate from CPD Certification Service creates value towards your professional goal
                and achievement.</p>

                

                <p>The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.</p>
                
    </div>
    <div>
        <div>
            <div>
                
                <h3>What is CPD?</h3>
                <p>Employers, professional organisations, and academic institutions all recognise CPD,
                    therefore a credential from CPD Certification Service adds value to your professional
                    goals and achievements.</p>
                <h4>Benefits of CPD</h4>
                <ul>
                    <li>Improve your employment prospects </li>
                    <li>Boost your job satisfaction </li>
                    <li>Promotes career advancement </li>
                    <li>Enhances your CV </li>
                    <li>Provides you with a competitive edge in the job market </li>
                    <li>Demonstrate your dedication </li>
                    <li>Showcases your professional capabilities</li>
                </ul>
            </div>
        </div>
        <div>
            <div>
                
                <h3>What is IPHM? </h3>
                <p>The IPHM is an Accreditation Board that provides Training Providers with international
                    and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation
                    is a guarantee of quality and skill. </p>
                <h4>Benefits of IPHM </h4>
                <ul>
                    <li>It will help you establish a positive reputation in your chosen field </li>
                    <li>You can join a network and community of successful therapists that are dedicated to
                    providing excellent care to their client </li>
                    <li>You can flaunt this accreditation in your CV </li>
                    <li>It is a worldwide recognised accreditation </li>
                </ul>
            </div>
        </div>
        <div>
            <div>
                
                <h3>What is Quality Licence Scheme?</h3>
                <p>This course is endorsed by the Quality Licence Scheme for its high-quality,
                    non-regulated provision and training programmes. The Quality Licence Scheme is a brand
                    of the Skills and Education Group, a leading national awarding organisation for
                    providing high-quality vocational qualifications across a wide range of industries.</p>
                <h4> Benefits of Quality License Scheme </h4>
                <ul>
                    <li>Certificate is valuable</li>
                    <li>Provides a competitive edge in your career</li>
                    <li>It will make your CV stand out</li>
                </ul>
            </div>
        </div>
    </div>
                    </div><div>
				
<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Course Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Introduction					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Part 1: Forecasting</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Basics of Forecasting					</td>

					
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Creating Linear Model with Trendlines					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">1.1 Getting Data Ready For Regression Model</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Gathering Business Knowledge					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Data Exploration					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						The Data and the Data Dictionary					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Univariate analysis and EDD					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Discriptive Data Analytics in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Outlier Treatment					</td>

					
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Identifying and Treating Outliers in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Missing Value Imputation					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Identifying and Treating missing values in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Variable Transformation in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Dummy variable creation: Handling qualitative data					</td>

					
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Dummy Variable Creation in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Correlation Analysis					</td>

					
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Creating Correlation Matrix in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">1.2 Forecasting Using Regression Model</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						The Problem Statement					</td>

					
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Basic Equations and Ordinary Least Squares (OLS) method					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Assessing accuracy of predicted coefficients					</td>

					
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Assessing Model Accuracy: RSE and R squared					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Creating Simple Linear Regression model					</td>

					
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Multiple Linear Regression					</td>

					
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						The F - statistic					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Interpreting results of Categorical variables					</td>

					
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Creating Multiple Linear Regression model					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">1.3 Handling Special Events Like Holiday Sales</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Forecasting in presence of special events					</td>

					
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Running Linear Regression using Solver					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Including the impact of Special Events					</td>

					
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td colspan="4">1.4 Identifying Seasonality &amp; Trend for Forecasting</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Models to identify Trend &amp; Seasonality					</td>

					
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Additive model to identify Trend &amp; Seasonality					</td>

					
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Multiplicative model to identify Trend &amp; Seasonality					</td>

					
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Market Basket Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Market Basket and Lift - Introduction					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Named Ranges - Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Indirect Function - Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						2-way lift calculation in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						2-way lift calculation - Dynamic					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						2-way lift data table creation					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						3-way lift calculation					</td>

					
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Store Layout optimization using Lift values					</td>

					
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">RFM (Recency, Frequency, Monetary) Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						RFM (recency, frequency, monetary) Analysis					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						RFM Analysis in Excel- Part 1					</td>

					
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						RFM Analysis in Excel- Part 2					</td>

					
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Part 2: Pricing</td>
				</tr>
								<tr>
					<td colspan="4">Part 2: Pricing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Steps of setting a Pricing policy					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Different Pricing Objectives					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">2.1 Estimating Demand</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Estimating Demand					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Forms of Demand Curve					</td>

					
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Estimating Linear Demand Curve					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Estimating Power Demand curve with Elasticity					</td>

					
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Estimating Power Demand Curve with points					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Subjective Demand curve					</td>

					
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Estimating Subjective Demand Curve					</td>

					
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">2.3 Evaluating Pricing Strategies</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Price Bundling					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Types of Bundling					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						The Bundling Problem					</td>

					
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Solving Bundling problem Part 1					</td>

					
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Solving Bundling problem Part 2					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Non-Linear Pricing Strategies					</td>

					
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Excel: Solving Bundling problem (Price Reversal)					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">3.1 Lifetime Customer Value</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Lifetime Customer Value - Key concepts					</td>

					
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Lifetime Customer Value - Excel model					</td>

					
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">3.2 Variations And Sensitivity Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Sensitivity Analysis in Excel					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Variations in finding customer value					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Appendix 1: Excel Crash Course</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Basics					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Worksheet Basics					</td>

					
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Entering values and Formulas					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Data Handling Basics - Cut, Copy and Paste					</td>

					
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Saving and Printing - Basics					</td>

					
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Basic Formula Operations					</td>

					
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Mathematical Formulas					</td>

					
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Textual Formulas					</td>

					
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Logical Formulas					</td>

					
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Date-Time Formulas					</td>

					
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Lookup Formulas ( V Lookup, Hlookup, Index-Match )					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Data Tools					</td>

					
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Formatting data and tables					</td>

					
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Pivot Tables					</td>

					
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Advance Excel- Solver, Data tables					</td>

					
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"> Assessment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assessment - Retail Analytics In Microsoft Excel Diploma</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Obtain Your Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Order Your Certificate of Achievement					</td>

					
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Get Your Insurance Now</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Get Your Insurance Now					</td>

					
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Feedback</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>
						Feedback					</td>

					
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Study Plex

Retail Analytics In Microsoft Excel Diploma

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making.</p>Overview<p>This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain:<br />Comprehensive understanding of Looker's platform: Gain a solid foundation in Looker's key features, functionality, and interface, enabling you to navigate and utilize the platform effectively for your data analysis and visualization needs.<br />Mastery of LookML and data modeling: Develop proficiency in Looker's unique data modeling language, LookML, to create customized and efficient data models that cater to your organization's specific requirements.<br />Expertise in creating insightful Explores: Learn to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights.<br />Proficiency in dashboard design and sharing: Acquire the skills to design visually appealing and informative dashboards, share them with different user roles, and schedule exports to keep stakeholders informed and up-to-date.<br />Enhanced content organization with folders and boards: Understand how to effectively use folders and boards to organize, manage, and discover content within Looker, making it easily accessible for you and your team.<br />Optional: Advanced visualization techniques for impactful storytelling: Master advanced visualization techniques, including customizations with HTML, CSS, and JavaScript, and interactive visualizations using Looker's API, to create compelling data stories that resonate with your audience.</p><p>Discover the power of data analytics and visualization with our hands-on, two-day introductory course Looker Bootcamp: Analyzing and Visualizing Data with Looker. Designed for professionals who want to unlock valuable insights from their data, this immersive training experience will guide you through Looker's cutting-edge features and provide you with the essential skills to create engaging, interactive, and insightful reports and dashboards. Our experienced trainers will take you on a journey from the fundamentals of Looker and its unique data modeling language, LookML, to advanced visualization techniques and content organization strategies, ensuring you leave the course equipped to make data-driven decisions with confidence. Throughout the course, you will have the opportunity to participate in practical exercises and workshops that will help you apply the concepts and techniques learned in real-world scenarios. You will explore the potential of Looker's Explores, dive into LookML's capabilities, and master the art of dashboard design and sharing. Learn how to organize and manage your content with folders and boards and harness the power of advanced visualization techniques to make your data come alive.</p></div><div id="course-pills-2"><h4>Getting Started with Looker</h4><ul><li>Overview of Looker and its key features</li><li>Navigating the Looker interface</li><li>Looker terminology and basic concepts</li></ul><h4>Connecting to Data Sources</h4><ul><li>Setting up and managing data connections</li><li>Exploring database schemas</li><li>Understanding LookML: Looker's data modeling language</li></ul><h4>Creating and Customizing Explores</h4><ul><li>Building and customizing Explores</li><li>Adding dimensions, measures, and filters</li><li>Creating calculated fields</li><li>Saving and organizing Explores</li></ul><h4>Data Visualization</h4><ul><li>Creating visualizations using Looker's visualization library</li><li>Customizing chart types, colors, and labels</li><li>Displaying visualizations in dashboards</li><li>Introduction to Looker's API for custom visualizations</li></ul><h4>Advanced Explores and LookML</h4><ul><li>LookML refresher and best practices</li><li>Creating derived tables and data transformations</li><li>Managing access controls and data permissions</li></ul><h4>Organizing and Sharing Content with Folders and Boards</h4><ul><li>Introduction to folders and boards in Looker</li><li>Creating and managing folders for organizing content</li><li>Setting up boards for easy content discovery</li><li>Sharing folders and boards with different user roles and permissions</li></ul><h4>Dashboard Design and Sharing</h4><ul><li>Best practices for dashboard design</li><li>Adding, arranging, and resizing visualizations</li><li>Scheduling and exporting dashboard data</li></ul><h4>Advanced Visualization Techniques</h4><ul><li>Customizing visualizations with HTML, CSS, and JavaScript</li><li>Creating interactive visualizations using Looker's API</li><li>Integrating Looker visualizations with other tools</li></ul><h4>Hands-on Workshop and Project</h4><ul><li>Participants work on a guided project to apply the skills learned</li><li>Trainer provides individual support and guidance</li><li>Project Presentations, Q&amp;A, and Training Wrap-up</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Learning & Development

Tableau Desktop Specialist

Looker

Excel Analytics

Trainers Course

Google Looker

Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02)

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			<h2>Overview
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					<p><span>This comprehensive course on </span><b><span>SQL NoSQL Big Data and Hadoop</span></b> will deepen your understanding on this topic.</p><p><span><span>After successful completion of this course you can acquire the required skills in this sector. This </span><b>SQL NoSQL Big Data and Hadoop</b> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.</span></p><p><span><span>So enrol in this course today to fast track your career ladder.</span></span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p><span>At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price.</span></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this </span><b><span>SQL NoSQL Big Data and Hadoop</span></b>. It is available to all students, of all academic backgrounds.</p>					</div>
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				<div>
			<h2>Requirements</h2>		</div>
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					<p><span>Our </span><b><span>SQL NoSQL Big Data and Hadoop</span></b> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>14 sections • 130 lectures • 22:34:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction: 00:07:00</p></div><div><div><p>•Building a Data-driven Organization - Introduction: 00:04:00</p></div><div><div><p>•Data Engineering: 00:06:00</p></div><div><div><p>•Learning Environment &amp; Course Material: 00:04:00</p></div><div><div><p>•Movielens Dataset: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Relational Databases: 00:09:00</p></div><div><div><p>•SQL: 00:05:00</p></div><div><div><p>•Movielens Relational Model: 00:15:00</p></div><div><div><p>•Movielens Relational Model: Normalization vs Denormalization: 00:16:00</p></div><div><div><p>•MySQL: 00:05:00</p></div><div><div><p>•Movielens in MySQL: Database import: 00:06:00</p></div><div><div><p>•OLTP in RDBMS: CRUD Applications: 00:17:00</p></div><div><div><p>•Indexes: 00:16:00</p></div><div><div><p>•Data Warehousing: 00:15:00</p></div><div><div><p>•Analytical Processing: 00:17:00</p></div><div><div><p>•Transaction Logs: 00:06:00</p></div><div><div><p>•Relational Databases  - Wrap Up: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Distributed Databases: 00:07:00</p></div><div><div><p>•CAP Theorem: 00:10:00</p></div><div><div><p>•BASE: 00:07:00</p></div><div><div><p>•Other Classifications: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to KV Stores: 00:02:00</p></div><div><div><p>•Redis: 00:04:00</p></div><div><div><p>•Install Redis: 00:07:00</p></div><div><div><p>•Time Complexity of Algorithm: 00:05:00</p></div><div><div><p>•Data Structures in Redis : Key &amp; String: 00:20:00</p></div><div><div><p>•Data Structures in Redis II : Hash &amp; List: 00:18:00</p></div><div><div><p>•Data structures in Redis III : Set &amp; Sorted Set: 00:21:00</p></div><div><div><p>•Data structures in Redis IV : Geo &amp; HyperLogLog: 00:11:00</p></div><div><div><p>•Data structures in Redis V : Pubsub &amp; Transaction: 00:08:00</p></div><div><div><p>•Modelling Movielens in Redis: 00:11:00</p></div><div><div><p>•Redis Example in Application: 00:29:00</p></div><div><div><p>•KV Stores: Wrap Up: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Document-Oriented Databases: 00:05:00</p></div><div><div><p>•MongoDB: 00:04:00</p></div><div><div><p>•MongoDB Installation: 00:02:00</p></div><div><div><p>•Movielens in MongoDB: 00:13:00</p></div><div><div><p>•Movielens in MongoDB: Normalization vs Denormalization: 00:11:00</p></div><div><div><p>•Movielens in MongoDB: Implementation: 00:10:00</p></div><div><div><p>•CRUD Operations in MongoDB: 00:13:00</p></div><div><div><p>•Indexes: 00:16:00</p></div><div><div><p>•MongoDB Aggregation Query - MapReduce function: 00:09:00</p></div><div><div><p>•MongoDB Aggregation Query - Aggregation Framework: 00:16:00</p></div><div><div><p>•Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00</p></div><div><div><p>•Document Stores: Wrap Up: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Search Engine Stores: 00:05:00</p></div><div><div><p>•Elasticsearch: 00:09:00</p></div><div><div><p>•Basic Terms Concepts and Description: 00:13:00</p></div><div><div><p>•Movielens in Elastisearch: 00:12:00</p></div><div><div><p>•CRUD in Elasticsearch: 00:15:00</p></div><div><div><p>•Search Queries in Elasticsearch: 00:23:00</p></div><div><div><p>•Aggregation Queries in Elasticsearch: 00:23:00</p></div><div><div><p>•The Elastic Stack (ELK): 00:12:00</p></div><div><div><p>•Use case: UFO Sighting in ElasticSearch: 00:29:00</p></div><div><div><p>•Search Engines: Wrap Up: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Columnar databases: 00:06:00</p></div><div><div><p>•HBase: 00:07:00</p></div><div><div><p>•HBase Architecture: 00:09:00</p></div><div><div><p>•HBase Installation: 00:09:00</p></div><div><div><p>•Apache Zookeeper: 00:06:00</p></div><div><div><p>•Movielens Data in HBase: 00:17:00</p></div><div><div><p>•Performing CRUD in HBase: 00:24:00</p></div><div><div><p>•SQL on HBase - Apache Phoenix: 00:14:00</p></div><div><div><p>•SQL on HBase - Apache Phoenix - Movielens: 00:10:00</p></div><div><div><p>•Demo : GeoLife GPS Trajectories: 00:02:00</p></div><div><div><p>•Wide Column Store: Wrap Up: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Time Series: 00:09:00</p></div><div><div><p>•InfluxDB: 00:03:00</p></div><div><div><p>•InfluxDB Installation: 00:07:00</p></div><div><div><p>•InfluxDB Data Model: 00:07:00</p></div><div><div><p>•Data manipulation in InfluxDB: 00:17:00</p></div><div><div><p>•TICK Stack I: 00:12:00</p></div><div><div><p>•TICK Stack II: 00:23:00</p></div><div><div><p>•Time Series Databases: Wrap Up: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Graph Databases: 00:05:00</p></div><div><div><p>•Modelling in Graph: 00:14:00</p></div><div><div><p>•Modelling Movielens as a Graph: 00:10:00</p></div><div><div><p>•Neo4J: 00:04:00</p></div><div><div><p>•Neo4J installation: 00:08:00</p></div><div><div><p>•Cypher: 00:12:00</p></div><div><div><p>•Cypher II: 00:19:00</p></div><div><div><p>•Movielens in Neo4J: Data Import: 00:17:00</p></div><div><div><p>•Movielens in Neo4J: Spring Application: 00:12:00</p></div><div><div><p>•Data Analysis in Graph Databases: 00:05:00</p></div><div><div><p>•Examples of Graph Algorithms in Neo4J: 00:18:00</p></div><div><div><p>•Graph Databases: Wrap Up: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Big Data With Apache Hadoop: 00:06:00</p></div><div><div><p>•Big Data Storage in Hadoop (HDFS): 00:16:00</p></div><div><div><p>•Big Data Processing : YARN: 00:11:00</p></div><div><div><p>•Installation: 00:13:00</p></div><div><div><p>•Data Processing in Hadoop (MapReduce): 00:14:00</p></div><div><div><p>•Examples in MapReduce: 00:25:00</p></div><div><div><p>•Data Processing in Hadoop (Pig): 00:12:00</p></div><div><div><p>•Examples in Pig: 00:21:00</p></div><div><div><p>•Data Processing in Hadoop (Spark): 00:23:00</p></div><div><div><p>•Examples in Spark: 00:23:00</p></div><div><div><p>•Data Analytics with Apache Spark: 00:09:00</p></div><div><div><p>•Data Compression: 00:06:00</p></div><div><div><p>•Data serialization and storage formats: 00:20:00</p></div><div><div><p>•Hadoop: Wrap Up: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction Big Data SQL Engines: 00:03:00</p></div><div><div><p>•Apache Hive: 00:10:00</p></div><div><div><p>•Apache Hive : Demonstration: 00:20:00</p></div><div><div><p>•MPP SQL-on-Hadoop: Introduction: 00:03:00</p></div><div><div><p>•Impala: 00:06:00</p></div><div><div><p>•Impala : Demonstration: 00:18:00</p></div><div><div><p>•PrestoDB: 00:13:00</p></div><div><div><p>•PrestoDB : Demonstration: 00:14:00</p></div><div><div><p>•SQL-on-Hadoop: Wrap Up: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Architectures: 00:05:00</p></div><div><div><p>•Introduction to Distributed Commit Logs: 00:07:00</p></div><div><div><p>•Apache Kafka: 00:03:00</p></div><div><div><p>•Confluent Platform Installation: 00:10:00</p></div><div><div><p>•Data Modeling in Kafka I: 00:13:00</p></div><div><div><p>•Data Modeling in Kafka II: 00:15:00</p></div><div><div><p>•Data Generation for Testing: 00:09:00</p></div><div><div><p>•Use case: Toll fee Collection: 00:04:00</p></div><div><div><p>•Stream processing: 00:11:00</p></div><div><div><p>•Stream Processing II with Stream + Connect APIs: 00:19:00</p></div><div><div><p>•Example: Kafka Streams: 00:15:00</p></div><div><div><p>•KSQL : Streaming Processing in SQL: 00:04:00</p></div><div><div><p>•KSQL: Example: 00:14:00</p></div><div><div><p>•Demonstration: NYC Taxi and Fares: 00:01:00</p></div><div><div><p>•Streaming: Wrap Up: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Database Polyglot: 00:04:00</p></div><div><div><p>•Extending your knowledge: 00:08:00</p></div><div><div><p>•Data Visualization: 00:11:00</p></div><div><div><p>•Building a Data-driven Organization - Conclusion: 00:07:00</p></div><div><div><p>•Conclusion: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

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<h3><b><span>Overview</span></b></h3>
Become an expert in online marketing and learn how to turn brands and businesses into huge successes overnight.

This popular Digital Marketing and Advertising Level 3 course is designed to teach anyone the fundamental knowledge needed to perform dynamic online advertising that works.

The many online learning modules provide expert tuition for every aspect of Digital Marketing; from using SEO to target an audience, to utilising the power of social media to make a product go viral.  You will also be taught how to use video and email marketing in order to maximise the recognition for your work and make everyone aware of your product.
<h3><b><span>How will I get my certificate?</span></b></h3>
<p>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.</p>

<h3><b><span>Who is this course for?</span></b></h3>
<p><span>There is no experience or previous qualifications required for enrolment on this <strong>Digital Marketing and Advertising Level 3</strong></span>. It is available to all students, of all academic backgrounds.</p>

<h3><b><span>Requirements</span></b></h3>
<p><span>Our <strong>Digital Marketing and Advertising Level 3</strong></span><b> </b>is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. <span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></p>

<h3><b><span>Career path</span></b></h3>
<p><span>Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management , Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc.</span></p> <h3>Course Curriculum</h3><div><p>13 sections • 123 lectures • 11:23:00 total length</p></div><div><div><div><div><div><div><div><p>•Welcome: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to register your company: 00:04:00</p></div><div><div><p>•How to see Email Sender's Company and Logo in Your Gmail: 00:02:00</p></div><div><div><p>•How to Generate sitemap of a website: 00:03:00</p></div><div><div><p>•How to protect a website from Spam on WordPress: 00:02:00</p></div><div><div><p>•Quick way to identify whether the website is Mobile optimized: 00:03:00</p></div><div><div><p>•How to identify registration data of website: 00:01:00</p></div><div><div><p>•How to identify duplicate content from the web: 00:03:00</p></div><div><div><p>•How to create google alerts: 00:03:00</p></div><div><div><p>•How to find the age of the domin: 00:02:00</p></div><div><div><p>•How to check if the website server is down: 00:01:00</p></div><div><div><p>•How to create text notes thatwill self destruct after being read: 00:02:00</p></div><div><div><p>•How to send google search information to your friends: 00:03:00</p></div><div><div><p>•How to find webhost of any website: 00:02:00</p></div><div><div><p>•Discover new sites that are similar to what you like alredy: 00:03:00</p></div><div><div><p>•How to easily highlight the important parts of a web page: 00:01:00</p></div><div><div><p>•How to share you email online without worrying about spam: 00:02:00</p></div><div><div><p>•How to get compute level answers without searching: 00:03:00</p></div><div><div><p>•The easiest way to setup email reminders: 00:03:00</p></div><div><div><p>•How to find the original URL tht's hiding behind a short URL: 00:02:00</p></div><div><div><p>•How to corrupt a file you shared online: 00:01:00</p></div><div><div><p>•How to create a throwaway email: 00:02:00</p></div><div><div><p>•How to check if your email account has been compromised: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to register website on Google search console: 00:06:00</p></div><div><div><p>•How to Optimize your website homepage: 00:06:00</p></div><div><div><p>•How to add a sitemap on google search: 00:07:00</p></div><div><div><p>•How to shortlist targeted keyword list in google keyword planner: 00:08:00</p></div><div><div><p>•How to set international targeting on google search: 00:02:00</p></div><div><div><p>•How to remove a URL from google search engine: 00:03:00</p></div><div><div><p>•How to identify competitors keyword: 00:08:00</p></div><div><div><p>•How to leverage top sites to get on google search results: 00:04:00</p></div><div><div><p>•Discover powerful data analytics to mesure SEO performance: 00:06:00</p></div><div><div><p>•How to do keyword research: 00:11:00</p></div><div><div><p>•How to write perfect title tags for search engines: 00:05:00</p></div><div><div><p>•How to optimise heading tags, external and internal links: 00:08:00</p></div><div><div><p>•What are backlinks &amp; how to get them: 00:06:00</p></div><div><div><p>•How to write a perfect Meta description: 00:06:00</p></div><div><div><p>•How to enhance speed &amp; performance of your website: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Youtube account setup: 00:04:00</p></div><div><div><p>•Account optimization: 00:09:00</p></div><div><div><p>•How to create &amp; setup Youtube channel banner: 00:05:00</p></div><div><div><p>•Youtube channel tags, thumbnails &amp; custom thumbnails: 00:08:00</p></div><div><div><p>•Analyse Youtube keyword research: 00:05:00</p></div><div><div><p>•Youtube SEO techniques: 00:07:00</p></div><div><div><p>•What are Youtube cards &amp; how does it work: 00:06:00</p></div><div><div><p>•How to optimise comments &amp; reply them in bulk: 00:03:00</p></div><div><div><p>•How to grow your channel with competitor Analysis: 00:07:00</p></div><div><div><p>•How to manage multiple YouTube accounts: 00:02:00</p></div><div><div><p>•A simple yet powerful trick to increase your subscribers list: 00:03:00</p></div><div><div><p>•Youtube Paid Advertising: 00:13:00</p></div><div><div><p>•How to monetise your YouTube channel: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What are Google Ads &amp; how does it work: 00:16:00</p></div><div><div><p>•Account setup: 00:04:00</p></div><div><div><p>•Competitors analysis: 00:08:00</p></div><div><div><p>•Campaign types &amp; how to select the right campaign: 00:07:00</p></div><div><div><p>•Bids &amp; Budgets: 00:08:00</p></div><div><div><p>•How to target the right audience: 00:07:00</p></div><div><div><p>•Google Ads advance campaign settings: 00:07:00</p></div><div><div><p>•Choosing the right keywords: 00:05:00</p></div><div><div><p>•How to write ads that gets more clicks: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to install tracking code on your website: 00:04:00</p></div><div><div><p>•How to add filters &amp; remove internal traffic: 00:04:00</p></div><div><div><p>•How to track paid campaigns: 00:04:00</p></div><div><div><p>•How to look and analyse different segment data: 00:06:00</p></div><div><div><p>•How to configure goals in google analysics: 00:05:00</p></div><div><div><p>•How to link google Adwords account: 00:03:00</p></div><div><div><p>•How to manage multiple analytics accounts: 00:02:00</p></div><div><div><p>•How to remove spam traffic: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Email marketing tools set up ( Mailchimp and Gestresponse): 00:10:00</p></div><div><div><p>•How to install signup or popup forms on the website: 00:17:00</p></div><div><div><p>•How to collect email address without a wbsite: 00:05:00</p></div><div><div><p>•How to create a 'Hook' to your signup forms: 00:08:00</p></div><div><div><p>•Discover the psychology behind acquiring more leads: 00:09:00</p></div><div><div><p>•Email marketing automation process: 00:08:00</p></div><div><div><p>•Email analytics: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to increase your connections in no time: 00:08:00</p></div><div><div><p>•Secret of LinkedIn InMails: 00:05:00</p></div><div><div><p>•Discover the best ways to use Linkedin Groups: 00:09:00</p></div><div><div><p>•How to setup a company page on Linkedin: 00:04:00</p></div><div><div><p>•How to increase traffic to your website using Linkedin blog: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Twitter Account setup: 00:03:00</p></div><div><div><p>•Knowing Twitter features: 00:06:00</p></div><div><div><p>•Following twitter accounts: 00:03:00</p></div><div><div><p>•Twitter profile optimisation: 00:06:00</p></div><div><div><p>•How to get Twitter followers: 00:10:00</p></div><div><div><p>•Posting first 5 tweets for engagement: 00:05:00</p></div><div><div><p>•Leveraging Hashtags to increase your tweets visibility: 00:04:00</p></div><div><div><p>•What are twitter polls &amp; how do you use them: 00:05:00</p></div><div><div><p>•A powerful trick to acquire customers on twitter: 00:03:00</p></div><div><div><p>•How to get followers retweet your post: 00:03:00</p></div><div><div><p>•How to embed a twitter button to your website or post: 00:02:00</p></div><div><div><p>•Twitter analytics: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Set your Facebook page: 00:05:00</p></div><div><div><p>•Facebook Icon, cover image &amp; description: 00:06:00</p></div><div><div><p>•How to get your first page likes: 00:08:00</p></div><div><div><p>•Discover how to increase your page likes: 00:02:00</p></div><div><div><p>•How to manage multiple Facebook page: 00:03:00</p></div><div><div><p>•Facebook comments: 00:05:00</p></div><div><div><p>•Leveraging Facebook groups: 00:05:00</p></div><div><div><p>•Facebook Autoposting: 00:04:00</p></div><div><div><p>•Run a competition: 00:06:00</p></div><div><div><p>•Facebook Ads: 00:04:00</p></div><div><div><p>•How to get best out of Facebook: 00:15:00</p></div><div><div><p>•Facebook pixel &amp; Re-marketing: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to setup a Instagram business profile: 00:07:00</p></div><div><div><p>•Set up Instagram bio &amp; profile image: 00:03:00</p></div><div><div><p>•Leveraging Instagram accounts: 00:06:00</p></div><div><div><p>•A simple way to create free content on Instagram: 00:05:00</p></div><div><div><p>•Secret of hashtags on Instagram: 00:04:00</p></div><div><div><p>•Reposting Instagram App: 00:04:00</p></div><div><div><p>•How to get genuine Instagram followers: 00:05:00</p></div><div><div><p>•Discover how to grow your business through Instagram stories: 00:05:00</p></div><div><div><p>•How to get your posts reposted on Instgram by influncers: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•A quick way to do App store marketing research: 00:16:00</p></div><div><div><p>•How to discover the estimate size of your market: 00:08:00</p></div><div><div><p>•Discover the best ways to promote your app: 00:15:00</p></div><div><div><p>•App installs via Facebook Ads: 00:16:00</p></div><div><div><p>•App installs via Google Ads: 00:14:00</p></div><div><div><p>•How to make money from your app: 00:08:00</p></div><div><div><p>•How to optimise your App store listing ?: 00:14:00</p></div><div><div><p>•Discover growth hacking techniques for App downloads: 00:09:00</p></div><div><div><p>•Techniques to get to the top of App store ranking: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Digital Marketing and Advertising Level 3: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

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Google Digital Marketing

Digital Marketing and Advertising Level 3

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Complete Microsoft Office Diploma (Office 365, Microsoft Excel, Word, PowerPoint, Outlook, Access) With Essential Office Skills, IT Functional Skills &amp; Administration - All in a Single Purchase.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Most Convenient Way to Boost Your Confidence And Learn <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Microsoft Office (Microsoft Excel, Word, PowerPoint, Outlook, Access, IT, Functional Skills, Administration) </strong>Inside And Out-Quickly, No Travel or Classes.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Designed to help you accomplish office tasks easily and with greater efficiency, <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Microsoft Office</strong> is the choice of many office professionals. If you&#39;re working in an office, you&#39;ll likely need to use the Microsoft Office suite and it&#39;s likely you&#39;re working for it, rather than having it work for you. Turn that around today and finally learn all the deep, dark secrets of this course.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Main CPD Accredited Courses in this Bundle are:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 1:</strong> Microsoft Excel</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 2:</strong> Microsoft Word</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 3:</strong> Microsoft PowerPoint</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 4:</strong> Microsoft Access</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 5: </strong>Microsoft Outlook</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">The following topics are covered in this Online Microsoft Office Diploma (Microsoft Excel, Word, PowerPoint, Outlook, Access) With Essential Office Skills, IT Functional Skills &amp; Administration Courses:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 01:</strong> Microsoft Excel 2021</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 02:</strong> Microsoft Excel 2019</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 03:</strong> Microsoft Word 2021</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 04:</strong> Microsoft Word 2019</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 05:</strong> Microsoft PowerPoint 2021</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 06: </strong>Microsoft PowerPoint 2019</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 07: </strong>Microsoft Access 2019</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Topic 08: </strong>MS Office 365</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GIFTS Included with Microsoft Office (Microsoft Excel, Word, PowerPoint, Outlook, Access, IT, Functional Skills, Administration) -</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free Course 01: </strong>Office Skills, Administration &amp; Management<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free Course 02: </strong>IT Functional Skills</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We are concerned about the progression of your career. Therefore, after conducting extensive studies and consulting with experienced personnel, we formulated this outstanding Microsoft Office Diploma (Microsoft Excel, Word, PowerPoint, Outlook, Access<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">, </strong>IT, Functional Skills, Administration) With Office Skills course to improve your pertinent skills. In this easy-to-digest course, you will get exclusive training, which will enable you to stand out in this competitive market.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What you&#39;ll learn</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Learn the essential Microsoft Office Skills in these three courses: Word, Excel, and PowerPoint</li><li fr-original-style="" style="box-sizing: border-box;">Apply new and improved features in Excel 2021 and Office 365.</li><li fr-original-style="" style="box-sizing: border-box;">How to use Microsoft Word to create, format, and edit documents</li><li fr-original-style="" style="box-sizing: border-box;">Work with styles, templates, tables, and images in Word</li><li fr-original-style="" style="box-sizing: border-box;">Learn to use Microsoft Excel to create, format, and analyze data in spreadsheets</li><li fr-original-style="" style="box-sizing: border-box;">Effectively use formulas, functions, charts, and graphs in Excel</li><li fr-original-style="" style="box-sizing: border-box;">Master of VLOOKUP, XLOOKUP, and Pivot table to create speedy Data Analytics</li><li fr-original-style="" style="box-sizing: border-box;">Use to apply Microsoft PowerPoint to create dynamic and engaging presentations</li><li fr-original-style="" style="box-sizing: border-box;">Add multimedia elements, animations, and transitions in PowerPoint</li><li fr-original-style="" style="box-sizing: border-box;">Access and manage files from anywhere using Office 365</li><li fr-original-style="" style="box-sizing: border-box;">Take advantage of the many benefits of cloud computing with Office 365</li><li fr-original-style="" style="box-sizing: border-box;">Expert Tips and tricks to improve your productivity and efficiency in Microsoft Office.</li><li fr-original-style="" style="box-sizing: border-box;">Learn time-saving techniques including how to copy slides, and set your presentation</li><li fr-original-style="" style="box-sizing: border-box;">Control page appearance including using columns, indents, footers, borders, and watermarks.</li><li fr-original-style="" style="box-sizing: border-box;">How to create a mail merge in Microsoft Word</li><li fr-original-style="" style="box-sizing: border-box;">Learn how to correctly Print envelopes and labels in Word</li><li fr-original-style="" style="box-sizing: border-box;">Make your Word documents look amazing by inserting and editing tables</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What will make you stand out?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">On completion of this Microsoft Office Diploma (Excel, Word, PowerPoint, Outlook, Access) With Office Skills, Functional Skills, Administration course, you will gain:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD QS Accredited Proficiency</strong></li><li fr-original-style="" style="box-sizing: border-box;">Lifetime access to the whole collection of Microsoft Office learning materials.</li><li fr-original-style="" style="box-sizing: border-box;">The online test with immediate results</li><li fr-original-style="" style="box-sizing: border-box;">You can study Microsoft Office, IT and complete the Excel course at your own pace.</li><li fr-original-style="" style="box-sizing: border-box;">Study for the Microsoft Office course using any <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">internet-connected device,</strong> such as a computer, tablet, or mobile device.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The substantial Microsoft Office Diploma (Excel, Word, PowerPoint, Outlook, Access, IT, Functional Skills, Administration) With Office Skills course with free certificate is designed to help you demonstrate the preliminary to in-depth level of learning regarding this topic. Moreover, you will be provided with the most knowledgeable and informative modules for your lifetime by enrolling in this course just once.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Therefore, reinforce your knowledge and furnish your skills by enrolling in our course. Take one step closer to achieving your goal.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Note</strong>: Please be advised that reading materials of Microsoft Office 2016 will be removed from this course effective February 1st, 2024. Access to Office 2016 within sections 286 to 430 of the course will be unavailable after this date. Rest of the materials will be kept as it is.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        70 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Microsoft Office Diploma (Microsoft Excel, Word, PowerPoint, Outlook, Access, IT, Functional Skills, Administration) With Office Skills Course is suitable for anyone interested in:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Microsoft Office Specialist (MOS)</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft Office Specialist (MOS) Expert</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft Office Specialist (MOS) Master</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft Specialist certification in Office 365</li><li fr-original-style="" style="box-sizing: border-box;">MS Office User</li><li fr-original-style="" style="box-sizing: border-box;">Touch Typing Worker<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Without any formal requirements, you can delightfully enrol in this MS Office Diploma (Excel, Word, PowerPoint, Outlook, Access<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">, IT, Functional Skills, Administration</strong>) With Office Skills course online . Just get a device with internet connectivity and you are ready to start your learning journey. Thus, complete this MS Office Diploma (Excel, Word, PowerPoint, Outlook, Access, Functional Skills, Administration) With Office Skills course at your own pace.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The aim of this exclusive Microsoft Office Diploma (Microsoft Excel, Word, PowerPoint, Outlook, Access<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">, IT, Functional Skills, Administration</strong>) With Office Skills course is to help you toward your dream career.</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Office Administrator</li><li fr-original-style="" style="box-sizing: border-box;">Entrepreneur</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst</li><li fr-original-style="" style="box-sizing: border-box;">HR Admin</li><li fr-original-style="" style="box-sizing: border-box;">MS Office Specialist</li><li fr-original-style="" style="box-sizing: border-box;">Receptionist</li><li fr-original-style="" style="box-sizing: border-box;">Audio Typist</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft Excel for Accounting</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;"> </div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            &pound;4.99
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate </h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript: &pound;9.99</p></div>

                        </div>

NextGen Learning

Office Skills & Productivity

Microsoft Certification

Microsoft 365

Office Skills

Computer Skills

Microsoft Office

Microsoft Office Skills (Microsoft Excel, Word, PowerPoint), Administration & IT Training

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!</strong></p><p>Gain the essential skills for a<strong> Data Analyst </strong>role through this <strong>TWENTY-in-One career-oriented </strong>Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a <strong>20% growth by 2028</strong> (U.K. Bureau of Labor Statistics).</p><p>Power your<strong> Data Analyst </strong>career by learning the <strong>core principles</strong> of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including <strong>Excel</strong>, <strong>Power BI</strong>, <strong>SQL</strong>, <strong> Python</strong>, <strong>Google Data Studio</strong>,<strong> Tableau</strong> and <strong>SAS</strong>, gaining practical experience with data manipulation and applying analytical techniques.</p><p>Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01:</strong> Introduction to Data Analysis</li><li><strong>Course 02:</strong> Data Analytics with Tableau</li><li><strong>Course 03:</strong> Python for Data Analysis</li><li><strong>Course 04:</strong> Basic Google Data Studio</li><li><strong>Course 05:</strong> SQL NoSQL Big Data and Hadoop</li><li><strong>Course 06:</strong> Complete Microsoft Power BI 2021</li><li><strong>Course 07:</strong> Fundamentals of Business Analysis</li><li><strong>Course 08:</strong> Complete Introduction to Business Data Analysis Level 3</li><li><strong>Course 09:</strong> Business Intelligence and Data Mining Masterclass</li><li><strong>Course 10:</strong> Research Methods in Business</li><li><strong>Course 11:</strong> Statistical Analysis</li><li><strong>Course 12:</strong> Graph Theory Algorithms</li><li><strong>Course 13:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 14:</strong> Data Analysis in Excel Level 3 Course</li><li><strong>Course 15:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 16:</strong> PowerPoint Diploma</li><li><strong>Course 17:</strong> Data Protection and Data Security Level 2</li><li><strong>Course 18:</strong> Functional Skills IT</li><li><strong>Course 19:</strong> Decision Making and Critical Thinking</li></ul><p>So, enrol in this Data Analyst : Data Analytics Training now to advance your career!</p><p>This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.</p><p>The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>H</strong><strong>ow will I get my Certificate?</strong></p><p>After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        125 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Data Analyst : Data Analytics Training<strong>: </strong></p><p>This <strong>Data Analyst (Data Analytics) </strong>Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!
Gain the essential skills for a Data Analyst role through this TWENTY-in-One career-oriented Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth by 2028 (U.K. Bureau of Labor Statistics).
Power your Data Analyst career by learning the core principles of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including Excel, Power BI, SQL,  Python, Google Data Studio, Tableau and SAS, gaining practical experience with data manipulation and applying analytical techniques.
Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.
This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Data Analytics with Tableau
Course 03: Python for Data Analysis
Course 04: Basic Google Data Studio
Course 05: SQL NoSQL Big Data and Hadoop
Course 06: Complete Microsoft Power BI 2021
Course 07: Fundamentals of Business Analysis
Course 08: Complete Introduction to Business Data Analysis Level 3
Course 09: Business Intelligence and Data Mining Masterclass
Course 10: Research Methods in Business
Course 11: Statistical Analysis
Course 12: Graph Theory Algorithms
Course 13: Clinical Data Analysis with SAS
Course 14: Data Analysis in Excel Level 3 Course
Course 15: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 16: PowerPoint Diploma
Course 17: Data Protection and Data Security Level 2
Course 18: Functional Skills IT
Course 19: Decision Making and Critical Thinking
So, enrol in this Data Analyst : Data Analytics Training now to advance your career!
This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.
The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
How will I get my Certificate?
After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.
 CPD 
125 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.
 Requirements 
This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.
 Career path 
Data Analyst : Data Analytics Training: 
This Data Analyst (Data Analytics) Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b
Data analytics manager
Financial analyst
Marketing analyst
Systems analyst
Data scientist
Machine learning engineer
Data analytics consultant
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Analysis) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Data Analyst : Data Analytics Training

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
Agenda and Principles of Process Management
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

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					<div><p>The world runs on data, and it's those who can decipher its secrets that hold the key to success. Enter the realm of data analytics course. Raw numbers transform into powerful insights, driving informed decisions and shaping the future. Starting a data analytics journey can unlock thrilling possibilities. It doesn't matter whether you're a seasoned professional or a curious newcomer. You'll master statistical models and predictive analytics. You'll also learn data visualization. This will help you transform complex numbers into compelling narratives.<br />The beauty of data analytics lies in its adaptability. You might want a data analytics course certificate for a career boost. Or a deep dive with a data analytics boot camp. Or a master's in data analytics for specialized expertise. The options are endless.<br />The world of data awaits your exploration. You can choose an online master's in data analytics. You can also start an advanced data analytics program. Or join a data analytics course for beginners. Each step unlocks new opportunities. Take the first step. Embrace the world of data. Become a champion of insights, ready to shape the future with the power of analysis.<br />Remember, the data analytics journey is an ongoing adventure. With each new dataset and each mastered skill, you unlock new doors and expand your impact. So, dive in, explore, and become a master decoder of the world's most valuable resource-data.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Learn how to collect, clean, and organize data  </span>
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										<span>Get an idea of AI data analytics </span>
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										<span>Equip yourself with the statistical tools </span>
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										<span>Delve into the world of predictive analytics</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Be able to make an impact on business analytics </span>
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										<span>Data Analytics Bootcamp</span>
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			<h2> <b>Career Path</b></h2>		</div>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>Bachelor's degree in  Statistics, Mathematics, or Analytics</span>
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										<span>Strong analytical and problem-solving skills </span>
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										<span>Familiarity with database management systems</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong> Module 01: Introduction to the World of Data</strong></td>
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					<td>▶</td>
					<td>Introduction to the World of Data</td><td><span>🕐 01:00:00</span></td>
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					<td colspan="4"><strong>Module 02: Basics of Data Analytics</strong></td>
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					<td>▶</td>
					<td>Basics of Data Analytics</td><td><span>🕐 00:40:00</span></td>
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					<td colspan="4"><strong>Module 03: Statistics for Data Analytics</strong></td>
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					<td>▶</td>
					<td>Statistics for Data Analytics</td><td><span>🕐 01:00:00</span></td>
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					<td colspan="4"><strong>Module 04: Actions Taken in the Data Analysis Process</strong></td>
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					<td>▶</td>
					<td>Actions Taken in the Data Analysis Process</td><td><span>🕐 00:55:00</span></td>
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					<td colspan="4"><strong>Module 05: Gathering the Right Information</strong></td>
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					<td>▶</td>
					<td>Gathering the Right Information</td><td><span>🕐 01:00:00</span></td>
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					<td colspan="4"><strong>Module 06: Storing Data</strong></td>
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					<td>Storing Data</td><td><span>🕐 01:15:00</span></td>
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					<td colspan="4"><strong>Module 07: Data Mining</strong></td>
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					<td>▶</td>
					<td>Data Mining</td><td><span>🕐 01:00:00</span></td>
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					<td colspan="4"><strong>Module 08: Excel for Data Analytics</strong></td>
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					<td>Excel for Data Analytics</td><td><span>🕐 01:20:00</span></td>
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					<td colspan="4"><strong>Module 09: Tools for Data Analytics</strong></td>
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					<td>▶</td>
					<td>Tools for Data Analytics</td><td><span>🕐 01:20:00</span></td>
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					<td colspan="4"><strong>Module 10: Data-Analytic Thinking</strong></td>
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					<td>▶</td>
					<td>Data-Analytic Thinking</td><td><span>🕐 01:10:00</span></td>
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					<td colspan="4"><strong>Module 11: Data Visualisation That Clearly Describes Insights</strong></td>
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					<td>▶</td>
					<td>Data Visualisation That Clearly Describes Insights</td><td><span>🕐 00:45:00</span></td>
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					<td colspan="4"><strong>Module 12: Data Visualisation Tools</strong></td>
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					<td>▶</td>
					<td>Data Visualisation Tools</td><td><span>🕐 01:00:00</span></td>
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					<td colspan="4"><strong>Assignment</strong></td>
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					<td><i></i></td>
					<td>Assignment - Data Analytics</td><td><span>🕐 00:00:00</span></td>
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Skill Up

Boost your advanced analytics skills by choosing our excellent course. We are providing one of the best online data analytics programs!

Data Analytics

<p><strong>***Offer Ends Today***</strong></p><p><strong>Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back</strong></p><p>Do you know that entry-level data analysts earn an average of <strong>£40,000 </strong>annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our <strong>Data Analyst Job Ready Program</strong> is here to guide you all the way until you get the job you want.</p><p>Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner.</p><p><strong>Our mission is simple - to be your trusted partner every step of the way, from Training to Employment.</strong></p><p>Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts!</p><p>In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst!</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program:</p><ul><li><strong>Personalised Guidance: </strong>Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Experts: </strong>Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>100% Money-Back Guarantee: </strong>Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee.</li></ul><p><strong>Courses we will provide once you enrol in the program:</strong></p><ul><li><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong>Course 02: </strong>Business and Data Analytics for Beginners</li><li><strong>Course 03: </strong>Data Analytics with Tableau</li><li><strong>Course 04: </strong>Quick Data Science Approach from Scratch</li><li><strong>Course 05: </strong>Learn MySQL from Scratch for Data Science and Analytics</li><li><strong>Course 06: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 07: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 08: </strong>Basic Google Data Studio</li><li><strong>Course 09: </strong>R Programming for Data Science</li><li><strong>Course 10: </strong>Python Data Science with Numpy, Pandas and Matplotlib</li><li><strong>Course 11: </strong>Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 12: </strong>2021 Data Science &amp; Machine Learning with R from A-Z</li><li><strong>Course 13: </strong>Microsoft Excel Complete Course</li><li><strong>Course 14: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 15: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 16: </strong>Excel Data Analysis</li><li><strong>Course 17: </strong>Data Entry Administrator Training</li><li><strong>Course 18: </strong>SQL Masterclass: SQL For Data Analytics</li><li><strong>Course 19: </strong>Business Data Analysis</li><li><strong>Course 20: </strong>Master JavaScript with Data Visualization</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The Data Analyst Job Ready Program with Career Support &amp; Money Back Guarantee is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3: Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        1000 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>This Data Analyst Job Ready Program is perfect for:</strong></p><ul><li>Beginners eager to break into the field of data analytics and get a job.</li><li>Professionals looking to move their career towards data science.</li><li>Individuals seeking a comprehensive understanding of data analysis tools and techniques.</li><li>Those aiming for a career upgrade with advanced analytics skills.</li><li>Anyone interested in gaining practical, job-ready skills in data analytics and machine learning.</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Analyst Job Ready Program will help you get a job in different roles, such as:</p><ul><li>Entry-Level Data Analyst: £25,000 - £35,000</li><li>Mid-Level Data Analyst: £35,000 - £60,000</li><li>Senior Data Analyst: £50,000 - £80,000</li><li>Data Scientist: £40,000 - £100,000</li><li>Data Analytics Manager: £60,000 - £100,000</li><li>Business Intelligence Analyst: £30,000 - £75,000</li><li>Machine Learning Engineer: £45,000 - £80,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

***Offer Ends Today***
Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back
Do you know that entry-level data analysts earn an average of £40,000 annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our Data Analyst Job Ready Program is here to guide you all the way until you get the job you want.
Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner.
Our mission is simple - to be your trusted partner every step of the way, from Training to Employment.
Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts!
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program:
Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis.
One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
100% Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee.
Courses we will provide once you enrol in the program:
Course 01: Introduction to Data Analysis
Course 02: Business and Data Analytics for Beginners
Course 03: Data Analytics with Tableau
Course 04: Quick Data Science Approach from Scratch
Course 05: Learn MySQL from Scratch for Data Science and Analytics
Course 06: SQL for Data Science, Data Analytics and Data Visualization
Course 07: Statistics & Probability for Data Science & Machine Learning
Course 08: Basic Google Data Studio
Course 09: R Programming for Data Science
Course 10: Python Data Science with Numpy, Pandas and Matplotlib
Course 11: Complete Python Machine Learning & Data Science Fundamentals
Course 12: 2021 Data Science & Machine Learning with R from A-Z
Course 13: Microsoft Excel Complete Course
Course 14: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 15: Data Center Training Essentials: General Introduction
Course 16: Excel Data Analysis
Course 17: Data Entry Administrator Training
Course 18: SQL Masterclass: SQL For Data Analytics
Course 19: Business Data Analysis
Course 20: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Analyst Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3: Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us.
 CPD 
1000 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Data Analyst Job Ready Program is perfect for:
Beginners eager to break into the field of data analytics and get a job.
Professionals looking to move their career towards data science.
Individuals seeking a comprehensive understanding of data analysis tools and techniques.
Those aiming for a career upgrade with advanced analytics skills.
Anyone interested in gaining practical, job-ready skills in data analytics and machine learning.
 Career path 
This Data Analyst Job Ready Program will help you get a job in different roles, such as:
Entry-Level Data Analyst: £25,000 - £35,000
Mid-Level Data Analyst: £35,000 - £60,000
Senior Data Analyst: £50,000 - £80,000
Data Scientist: £40,000 - £100,000
Data Analytics Manager: £60,000 - £100,000
Business Intelligence Analyst: £30,000 - £75,000
Machine Learning Engineer: £45,000 - £80,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Business Analytics & Intelligence

Big Data Analytics

Data Science

HR Analytics

Data Analyst

Data Analyst Job Guarantee Program with Career Support & Money Back Guarantee

<p><span>Embark on a transformative journey into data analytics with our comprehensive course. Discover the power of data &amp; analytics through engaging modules designed to equip you with skills and knowledge. Whether you're a novice or a seasoned professional, this data analytics course is your gateway to unlocking the potential of big data analytics.</span></p>
<p><span>From understanding the basics like what is data analytics and harnessing the power of statistics to mastering data visualisation tools, each step is crafted to empower you with the tools necessary to navigate the world of data analytics confidently.</span></p>
<p><span>With the Google Data Analytics Professional Certificate, you'll gain invaluable insights and practical experience that can catapult you into lucrative data analytics jobs. From enhancing your employability to boosting your earning potential, this course opens doors to a myriad of opportunities in this field.</span></p>
<h4><span>Learning Outcomes:</span></h4>
<ol>
<li><span>Acquire a solid foundation in data analytics principles and techniques.</span></li>
<li><span>Develop proficiency in using various data analytics tools and software.</span></li>
<li><span>Gain skills in data mining, storage, and visualisation.</span></li>
<li><span>Cultivate a data-analytic mindset to tackle complex problems effectively.</span></li>
<li><span>Explore career pathways in data science with confidence and clarity.</span></li>
</ol>
<h3><b>Why buy this Data Analytics Course?</b></h3>
<ol>
<li><span>Unlimited access to the course for a lifetime.</span></li>
<li><span>Opportunity to earn a certificate accredited by the </span><strong><span>CPD Quality Standards</span></strong><span> and </span><strong><span>CIQ </span></strong><span>after completing this course.</span></li>
<li><span>Structured lesson planning in line with industry standards.</span></li>
<li><span>Immerse yourself in innovative and captivating course materials and activities.</span></li>
<li><span>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</span></li>
<li><span>Flexibility to complete the Course at your own pace, on your own schedule.</span></li>
<li><span>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</span></li>
<li><span>Unlock career resources for CV improvement, interview readiness, and job success.</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Data Analytics</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this Data Analytics course for?</b></h3>
<ul>
<li><span>Aspiring data analysts seeking to kickstart their careers.</span></li>
<li><span>Professionals looking to enhance their skillset in this field.</span></li>
<li><span>Students interested in exploring the fascinating world of data science.</span></li>
<li><span>Entrepreneurs aiming to leverage analytics for business growth.</span></li>
<li><span>Individuals seeking to transition into lucrative data analytics jobs.</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Data Analytics</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Data Analytics</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong><span>Data Analyst:</span></strong><span> £25,000 - £50,000 Per Annum</span></li>
<li><strong><span>Data Scientist:</span></strong><span> £30,000 - £70,000 Per Annum</span></li>
<li><strong><span>Business Intelligence Analyst:</span></strong><span> £28,000 - £55,000 Per Annum</span></li>
<li><strong><span>Data Engineer:</span></strong><span> £35,000 - £65,000 Per Annum</span></li>
<li><strong><span>Database Administrator:</span></strong><span> £25,000 - £55,000 Per Annum</span></li>
<li><strong><span>Analytics Manager:</span></strong><span> £40,000 - £80,000 Per Annum</span></li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Google Data Analytics

Marketing Analytics

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				<p><span>Register on the Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion.</span></p><p><span>The Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Data Analytics </b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
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			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
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			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
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				<div>
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			<h2>Who Is This Course For:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
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			<h2>Requirements:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
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		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

<h2><strong>Course Overview:</strong></h2>

<p>Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide.</p>



<p>This comprehensive course covers a broad spectrum of data analytics, starting with an engaging <strong>'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.'</strong></p>



<p>Enrol today and start your journey to becoming a data analytics expert!</p>


<hr />

<h2><strong>Key Features of the Course:</strong></h2>
<p>This course comes with a<strong> CPD certificate</strong>, affirming your proficiency in data analytics. It <strong>offers 24/7 learning assistance</strong> to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and <strong>engaging learning materials</strong>, carefully curated to make your journey in data analytics enlightening.</p>

<hr />

<h2><strong>Who is This Course For?</strong></h2>
<p>This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age.</p>


<hr />

<h2><strong>What You Will Learn:</strong></h2>

<p>Understand the fundamental concepts of data analytics.</p>



<ul>
<li>Apply statistical techniques to analyse large data sets.</li>



<li>Implement effective strategies for data collection and storage.</li>



<li>Master the art of data mining and extraction of valuable insights.</li>



<li>Utilise Excel and other tools effectively for data analysis.</li>



<li>Develop a data-analytic mindset for problem-solving.</li>



<li>Translate data insights into compelling visualisations.</li>
</ul>

<hr />

<h2><strong>Why Enrol in This Course:</strong></h2>
<p>This course will open doors to <strong>many opportunities</strong>. You will learn from <strong>top-notch professionals</strong>, utilise <strong>quality learning materials </strong>and have access to trending and <strong>recently updated curriculum.</strong></p>

<hr />

<h2><strong>Requirements:</strong></h2>

<ul>
<li>A basic understanding of computers</li>



<li>A willingness to learn</li>
</ul>

<hr />

<h2><strong>Career Path:</strong></h2>

<p>The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as:</p>



<ul>
<li>Data Analyst (£30,000-£60,000)</li>



<li>Business Analyst (£35,000-£70,000)</li>



<li>Market Research Analyst (£27,000-£55,000)</li>



<li>Operations Analyst (£31,000-£62,000)</li>



<li>Quantitative Analyst (£45,000-£85,000)</li>



<li>Data Scientist (£50,000-£90,000)</li>



<li>Data Engineer (£35,000-£75,000)</li>
</ul>



<hr />

<h2><strong>Certification:</strong></h2>

<p>On successful completion of this course, <strong>you will receive a CPD certificate,</strong> testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world.</p>



<p>Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you!</p>


<hr />
<h2><strong>FAQ</strong></h2>



<h3><strong>What do you mean by data analytics?</strong></h3>



<p>Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights.</p>



<h3><strong>What data analytics actually do?</strong></h3>



<p>Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance.</p>



<h3><strong>What are the 5 data analytics?</strong></h3>



<p>The 5 data analytics are:</p>



<ul>
<li><em>Descriptive analytics: </em>This type of analytics describes what has happened in the past.</li>



<li><em>Diagnostic analytics: </em>This type of analytics identifies the root cause of problems.</li>



<li><em>Predictive analytics: </em>This type of analytics predicts what will happen in the future.</li>



<li><em>Prescriptive analytics:</em> This type of analytics recommends actions to take based on the predictions.</li>



<li><em>Visual analytics: </em>This type of analytics uses visual representations of data to make it easier to understand.</li>
</ul>



<h3><strong>What is data analytics examples?</strong></h3>



<p>Here are some examples of data analytics:</p>



<ul>
<li>A retailer uses data analytics to track customer behaviour and identify trends.</li>



<li>A bank uses data analytics to predict which customers are likely to default on their loans.</li>



<li>A healthcare provider uses data analytics to identify patients who are at risk for certain diseases.</li>
</ul>



<h3><strong>What are 4 types of analytics?</strong></h3>



<p>The 4 types of analytics are:</p>



<ul>
<li><em>Descriptive analytics: </em>This type of analytics describes what has happened in the past.</li>



<li><em>Diagnostic analytics:</em> This type of analytics identifies the root cause of problems.</li>



<li><em>Predictive analytics: </em>This type of analytics predicts what will happen in the future.</li>



<li><em>Prescriptive analytics: </em>This type of analytics recommends actions to take based on the predictions.</li>
</ul>



<h3><strong>Why do we use data analytics?</strong></h3>



<p>We use data analytics to make better decisions, improve efficiency, and drive innovation.</p>



<p>Here are some of the benefits of using data analytics:</p>



<ul>
<li><em>Better decision-making:</em> Data analytics can help businesses make better decisions by providing them with insights into their data.</li>



<li><em>Improved efficiency:</em> Data analytics can help businesses improve efficiency by identifying areas where they can save time and money.</li>



<li><em>Driven innovation: </em>Data analytics can help businesses drive innovation by identifying new opportunities and trends.</li>
</ul> <h3>Course Curriculum</h3><div><p>13 sections • 13 lectures • 12:25:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction to the World of Data: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Basics of Data Analytics: 00:40:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Statistics for Data Analytics: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Actions Taken in the Data Analysis Process: 00:55:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Gathering the Right Information: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Storing Data: 01:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Mining: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Excel for Data Analytics: 01:20:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Tools for Data Analytics: 01:20:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data-Analytic Thinking: 01:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Visualisation That Clearly Describes Insights: 00:45:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Visualization Tools: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Data Analytics: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Start your journey to becoming an expert in data analytics with our engaging online course, Data Analytics with Tableau. Created for all levels, this course has been carefully put together to provide an in-depth understanding of data analysis using Tableau, a leading data visualization tool.</p><p>The course begins with an overview of Tableau and its important features. You'll learn why Tableau is a must-know tool for data analysts and how it helps make sense of large data sets. Then, we'll get our hands dirty with real-world projects. These projects are designed to mimic real business scenarios, like analyzing sales and profits, assessing HR performance, and studying stock price movements. As you work through these projects, you'll learn how to apply Tableau's capabilities to different business problems.</p><p>Beyond working with data, you'll also gain valuable insights into storytelling with data. This is an important skill in data analytics because it allows you to communicate your findings in an easily understandable way. By the end of the course, you'll be able to create visually appealing and informative data visualizations that can help drive decision-making.</p><p>The course also includes a bonus module on database concepts to equip you with a rounded understanding of data management. This knowledge, coupled with your new Tableau skills, will set you on the right path in your data analytics career. On completion, you'll earn a certificate that signifies your expertise in using Tableau for data analytics.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Develop a strong understanding of data analytics using Tableau.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Master the art of Tableau storytelling.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand database concepts to enhance data management.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Create effective data-driven business strategies.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Work confidently with different types of data.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Enhance your career prospects in the field of data analytics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Translate complex data into understandable insights.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn to create compelling data stories.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Earn a certificate to validate your learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Experience a curriculum filled with examples and essential projects.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Intelligence Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Tableau Consultant</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analytics Specialist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Visualization Expert</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
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				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Basic understanding of data concepts.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Interest in learning data analytics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Reliable internet connection for online learning.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Module 01: Introduction to the Course</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to the Course</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>What is Tableau?An Introduction to Tableau</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>How this course is Structured</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Installing the Free Full Version of Tableau</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Discount Mart</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Discount Mart</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Discount Mart (Part 1)</td><td><span>🕐 00:33:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Discount Mart (Part 2)</td><td><span>🕐 00:16:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Headline Cards on Tableau for Discount Mart</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building and Publishing Dashboards on Tableau</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Project 2: Green Destinations (HR Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Green Destinations</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Green Destinations</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 1) for Green Destinations</td><td><span>🕐 00:29:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 2) for Green Destinations</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Headline Cards on Tableau</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Dashboard for Green Destinations</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Project 3: Superstore (Sales Agent Tracker)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Super Store</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Super Store</td><td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 1) for Super Store</td><td><span>🕐 00:34:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 2) for Super Store</td><td><span>🕐 00:23:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Dashboard</td><td><span>🕐 00:18:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Northwind Trade (Shipping Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Northwind Trade</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Northwind Trade</td><td><span>🕐 00:14:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Northwind Trade</td><td><span>🕐 00:37:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building and Publishing Dashboards for Northwind Trade</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: Project 5: Tesla (Stock Price Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Tesla</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating a Data Source through Google Sheet Functions</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connect to the Data for Tesla</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Tesla</td><td><span>🕐 00:22:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Headline Cards</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Building a Tesla Dashboard</td><td><span>🕐 00:08:00</span></td>
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					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
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					<td colspan="4"><strong>Module 07: Bonus: Introduction to Database Concepts</strong></td>
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					<td>▶</td>
					<td>Introduction to Database Concepts</td><td><span>🕐 00:01:00</span></td>
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					<td>▶</td>
					<td>Understanding Relational Databases</td><td><span>🕐 00:04:00</span></td>
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					<td>▶</td>
					<td>Relationships of Database Entities</td><td><span>🕐 00:02:00</span></td>
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					<td>▶</td>
					<td>Primary and Foreign Keys</td><td><span>🕐 00:01:00</span></td>
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					<td>▶</td>
					<td>Data types and Naming Conventions</td><td><span>🕐 00:04:00</span></td>
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					<td colspan="4"><strong>Module 08: Tableau Stories</strong></td>
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					<td>▶</td>
					<td>Creating Stories on Tableau</td><td><span>🕐 00:05:00</span></td>
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					<td colspan="4"><strong>Resources </strong></td>
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					<td><i></i></td>
					<td>Resources - Data Analytics with Tableau</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
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Become a certified Tableau Data Analyst through our Data Analytics course. Gain the skills to analyze and visualize data using Tableau.

Data Analytics with Tableau

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					<div><p>The comprehensive Data Analytics with Tableau has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Data Analytics with Tableau today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Data Analytics with Tableau has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Data Analytics with Tableau is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Data Analytics with Tableau is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. The Data Analytics with Tableau is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Data Analytics with Tableau, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Data Analytics with Tableau will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Data Analytics with Tableau to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Data Science and Data Analytics</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong> 33</strong> course mega bundle that will exceed your expectations within your budget.</p><p>The<strong> Data Science and Data Analytics</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong>Data Science and Data Analytics</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p><p><strong>This Data Science and Data Analytics Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p><ul><li>Course 01:SQL Programming Masterclass</li><li>Course 02:SQL Server for Beginners</li><li>Course 03:SQL NoSQL Big Data and Hadoop</li><li>Course 04:Microsoft SQL Server Development for Everyone</li><li>Course 05:Javascript Programming for Beginners</li><li>Course 06:Master JavaScript with Data Visualization</li><li>Course 07:Computer Vision: C++ and OpenCV with GPU support</li><li>Course 08:Functional Skills IT</li><li>Course 09:CompTIA Healthcare IT Technician</li><li>Course 10:Basic Google Data Studio</li><li>Course 11:Data Analytics with Tableau</li><li>Course 12:Recovering from a Job Loss in Technology</li><li>Course 13:AutoCAD Programming using C# with Windows Forms</li><li>Course 14:AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 15:AutoCAD to Excel - VBA Programming Hands-On!</li><li>Course 16:AutoCAD VBA Programming - Beginner course</li><li>Course 17:IT Support Technician Training</li><li>Course 18:Admin Support Assistant</li><li>Course 19:Building Your Own Computer Course</li><li>Course 20:Neuro-linguistic Programming (NLP) Diploma</li><li>Course 21:Cyber Security Incident Handling and Incident Response</li><li>Course 22:Computer Networks Security</li><li>Course 23:IT Asset Department</li><li>Course 24:C# Programming - Beginner to Advanced</li><li>Course 25:jQuery: JavaScript and AJAX Coding Bible</li><li>Course 26:Kotlin Programming : Android Coding</li><li>Course 27:Quick Data Science Approach from Scratch</li><li>Course 28:Secure Programming of Web Applications</li><li>Course 29:A-Frame Web VR Programming</li><li>Course 30:Complete AutoLISP Programming</li></ul><p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p><ul><li>Course 01: Career Development Plan Fundamentals</li><li>Course 02: CV Writing and Job Searching</li><li>Course 03: Interview Skills: Ace the Interview</li></ul><p><strong>Learning Outcome</strong></p><p><strong>This tailor-made </strong><strong>Data Science and Data Analytics</strong><strong> bundle will allow you to-</strong></p><ul><li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Data Science and Data Analytics Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p><p><strong>Certification</strong></p><p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

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                                        330 CPD hours / points
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                                            Accredited by CPD Quality Standards
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                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Science and Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement.</p><p><strong>Please Note</strong>: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p>
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        <div>Requirements</div>
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                            <p>To participate in this course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Data Science and Data Analytics</li></ul>
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        <div>Career path</div>
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                            <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p>
                        </div>

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