Name: MERN Stack Front To Back: Full Stack React, Redux and Node.js
Price: 107.99 GBP
Availability: InStock

<p>The IT For Recruiters is all you need to advance your career in the relevant fields.</p><p>Enrol now to discover everything you need to know about the IT For Recruiters and the skills to improve your talents in this field and be confident in your knowledge bucket with One Education as your right hand!</p><p><strong>Expert Support</strong></p><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><p><strong>Introduction</strong></p><ul><li>Introduction</li></ul><p><strong>IT Fundamentals</strong></p><ul><li>What is hardware and software</li><li>Server</li><li>Project Life cycle</li><li>Software Development Life Cycle</li></ul><p><strong>IT Terms Basics</strong></p><ul><li>Methodologies</li><li>CMS</li><li>API</li><li>CI/CD</li><li>Stacks</li><li>Native and Hybrid Native Apps</li></ul><p><strong>IT Positions</strong></p><ul><li>CTO</li><li>IT Architect</li><li>Product Owner</li><li>Project Manager</li><li>Product Manager</li><li>PO vs PM vs Product Manager</li><li>PO vs Product Manager</li><li>Business Analyst</li><li>Business Intelligence Specialist</li><li>Data Engineer</li><li>Data Scientist</li><li>Data Engineer vs Data Scientist</li><li>Agile Coach</li><li>Scrum Master</li><li>Agile Coach vs Scrum Master</li><li>Frontend Developer</li><li>Backend Developer</li><li>Fullstack Developer</li><li>Frontend vs Backend vs Fullstack Developer</li><li>iOS Developer</li><li>Android Developer</li><li>UX Designer</li><li>UI Designer</li><li>UX vs UI Designer</li><li>QA Engineer_Tester</li><li>SysAdmin</li><li>DevOps</li><li>SEO</li></ul><p><strong>IT Technologies. Programming Languages and Frameworks</strong></p><ul><li>Programming languages and frameworks. Intro</li><li>Programming languages and frameworks</li><li>Java</li><li>JavaScript</li><li>Python</li><li>C</li><li>C++</li><li>C#</li><li>HTML</li><li>PHP</li><li>SWIFT</li><li>Objective-C</li><li>Ruby</li><li>SQL</li><li>Go (Golang)</li></ul><p><strong>Databases</strong></p><ul><li>Database</li><li>Types of Databases</li></ul><p><strong>From Recruiter to Recruiter</strong></p><ul><li>The day of an IT Recruiter</li><li>Key principles</li><li>Sourcing Tipps</li></ul><p><strong>Good Bye Video</strong></p><ul><li>Good Bye Video</li></ul><p><strong>Exam and Assessment</strong></p><ul><li>MCQ based test</li><li>60% Marks to pass</li><li>Instant Assessment and Feedback</li></ul><p><strong>Certification</strong></p><ul><li>CPD Certified PDF and Hardcopy Certificate</li><li>Level 5 QLS Endorsed Hardcopy Certificate for<strong> Diploma in IT For Recruiters at QLS Level 5</strong></li></ul><h2>
        
        <div>CPD</div>
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                                        150 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>

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                            <p>This IT For Recruiters course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This IT For Recruiters course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon successful completion of the IT For Recruiters Course, learners will be equipped with many indispensable skills and have the opportunity to grab.</p>
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        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p><strong>QLS Endorsed Certificate</strong></p><p>Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying -</p><ul><li>Within the UK: £109</li><li>International: £109 + £10 (postal charge) = £119 </li></ul><p><strong>CPD Certification Service Accredited Certification</strong></p><ul><li>Hardcopy Certificate (within the UK): £15</li><li>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</li></ul> </div>

                        </div>

One Education

IT Training For Recruiters Course

General Admission

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is designed for Service Provider networking professionals in job roles such as:<br />Network administrators<br />Network architects<br />Network designers<br />Network engineers<br />Network managers<br />Network Operations Center (NOC) personnel<br />Network supervisors</p>Overview<p>After taking this course, you should be able to:<br />Use NETCONF and RESTCONF programmability protocols on Cisco devices<br />Describe and use tools to validate YANG data models on Cisco devices<br />Describe and configure model-driven telemetry on Cisco devices<br />Describe and configure network traffic automation with Cisco XTC<br />Describe and use network automation tools that utilize SSH<br />Automate service provider network configuration with Cisco NSO<br />Describe how to automate virtualized resources with Cisco ESC<br />Describe how to automate service provider WAN with Cisco WAE</p><p>This course prepares you to implement and support automation solutions in a Service Provider network infrastructure, using network programmability principles, protocols, tools, and mechanisms. Through a combination of lessons and hands-on labs, you will learn to deploy, configure, monitor, and operate Service Provider network environments using modern data models. These models allow you to represent operational data and new network management protocols in order to administer hundreds or thousands of devices in a single operation, replacing traditional, time-consuming, error prone, device-by-device Command Line Interface (CLI) management. The course also introduces powerful automation solutions that can streamline network operations. <br />This course also prepares you for the CCNP-Service Provider concentration exam 300-535.</p></div><div id="course-pills-2"><h4>Implementing Network Device Programmability Interfaces with NETCONF and RESTCONF</h4><ul><li>Implement NETCONF Protocol</li><li>Implement RESTCONF Protocol</li></ul><h4>Implementing Model-Driven Programmability with YANG</h4><ul><li>YANG Data Models</li><li>YANG Tools</li><li>YANG Development Kit</li></ul><h4>Implementing Model-Driven Telemetry</h4><ul><li>Implementing Model-Driven Telemetry with gRPC</li><li>Implementing Model-Driven Telemetry with gNMI</li></ul><h4>Automating Service Provider Network Traffic with Cisco XTC</h4><ul><li>Cisco XTC Fundamentals</li><li>Configure Cisco XTC</li></ul><h4>Automating Networks with Tools That Utilize SSH</h4><ul><li>Implement Device Configurations with Python Netmiko Library</li><li>Implement Device Configurations with Ansible Playbooks</li></ul><h4>Orchestrating Network Services with Cisco NSO</h4><ul><li>Cisco NSO Fundamentals</li><li>Cisco NSO Device Manager</li><li>Cisco NSO Services</li><li>Implement Device Configurations with Python</li></ul><h4>Automating Virtualized Resources with Cisco Elastic Services Controller</h4><ul><li>Cisco ESC Architecture</li><li>Cisco ESC Resource Management</li></ul><h4>Automating the WAN with Cisco WAE</h4><ul><li>Describe the Cisco WAE Components</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Implementing Automation for Cisco Service Provider Solutions v1.0 (SPAUI) 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 Automation for Cisco Service Provider Solutions v1.0 (SPAUI) 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)

Cisco Certified Network Professional certification (CCNP)

Service Design Courses (SDC)

Certified Cloud Security Professional (CCSP)

Cisco Certified Entry Networking Technician (CCENT)

Cisco Certified Internetwork Expert (CCIE)

Cisco Implementing Automation for Cisco Service Provider Solutions v1.0 (SPAUI)

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			<h2>Overview
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					<p><span>This comprehensive course on <b>Learn Ethical Hacking From A-Z: Beginner To Expert</b> will deepen your understanding on this topic.</span></p><p><span>After successful completion of this course you can acquire the required skills in this sector. This <b>Learn Ethical Hacking From A-Z: Beginner To Expert</b> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.</span></p><p><span>So enrol in this course today to fast track your career ladder.</span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p><span>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.</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 <b>Learn Ethical Hacking From A-Z: Beginner To Expert</b>. It is available to all students, of all academic backgrounds.</span></p>					</div>
						</div>
				</div>
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				<div>
			<h2>Requirements</h2>		</div>
				</div>
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					<p><span>Our <b>Learn Ethical Hacking From A-Z: Beginner To Expert</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.</span></p><p><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p><span>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-</span></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>17 sections • 105 lectures • 11:51:00 total length</p></div><div><div><div><div><div></div></div></div></div><div><div><div><div><div><div><p>•Course Overview: 00:08:00</p></div><div><div><p>•About Your Instructors: 00:03:00</p></div><div><div><p>•Section Overview: 00:03:00</p></div><div><div><p>•Current Cybersecurity Market: 00:09:00</p></div><div><div><p>•The 3 Types of Hackers: 00:05:00</p></div><div><div><p>•The 4 Elements of Security: 00:04:00</p></div><div><div><p>•Ethical Hacker Terminology: 00:04:00</p></div><div><div><p>•Common Methods of Hacking: 00:08:00</p></div><div><div><p>•Cybersecurity &amp; Ethical Hacking Overview: 00:03:00</p></div><div><div><p>•Ethical Hacking vs Penetration Testing: 00:06:00</p></div><div><div><p>•Job Opportunities in Cybersecurity: 00:01:00</p></div><div><div><p>•Who is This Course is For?: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Networking Section Overview: 00:12:00</p></div><div><div><p>•How Data Travels Across The Internet: 00:02:00</p></div><div><div><p>•Understanding Ports and Protocols: 00:08:00</p></div><div><div><p>•Understanding IP Addresses: Public &amp; Private: 00:02:00</p></div><div><div><p>•What Are Subnets?: 00:03:00</p></div><div><div><p>•The Average Network vs Remote Based: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Hacking Lab Section Overview: 00:09:00</p></div><div><div><p>•Understanding Virtual Machines: 00:03:00</p></div><div><div><p>•Setup Your Kali Linux Machine: 00:10:00</p></div><div><div><p>•VN Setup &amp; Testing Vulnerable Systems: 00:23:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Linux+Python+Bash+Powershell Section Overview: 00:06:00</p></div><div><div><p>•Linux Basics: 00:11:00</p></div><div><div><p>•Working With Directories &amp; Moving Files: 00:03:00</p></div><div><div><p>•Installing &amp; Updating Application Files: 00:02:00</p></div><div><div><p>•Linux Text Editors: 00:04:00</p></div><div><div><p>•Searching For Files: 00:02:00</p></div><div><div><p>•Bash Scripting Basics: 00:09:00</p></div><div><div><p>•Python Basics: 00:11:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Remaining Anonymous Section Overview: 00:06:00</p></div><div><div><p>•TOR Browser Overview: 00:06:00</p></div><div><div><p>•Anonsurf Overview: 00:03:00</p></div><div><div><p>•Changing Mac Addresses: 00:03:00</p></div><div><div><p>•Using a Virtual Private Network/Server (VPN, VPS): 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•WiFi Hacking Section Overview: 00:06:00</p></div><div><div><p>•WiFi Hacking System Setup: 00:09:00</p></div><div><div><p>•WEP Hacking Attack #1: 00:09:00</p></div><div><div><p>•WEP Hacking Attack #2: 00:04:00</p></div><div><div><p>•WPA/WPA2 Hacking: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Reconnaissance Section Overview: 00:04:00</p></div><div><div><p>•Passive Recon vs Active Recon: 00:01:00</p></div><div><div><p>•Recon-ng Overview: 00:15:00</p></div><div><div><p>•Whois Enumeration: 00:02:00</p></div><div><div><p>•DNS Enumeration Overview: 00:02:00</p></div><div><div><p>•Netcraft.com DNS Information: 00:03:00</p></div><div><div><p>•Google Hacking: 00:05:00</p></div><div><div><p>•Shodan.io Overview: 00:02:00</p></div><div><div><p>•Securityheaders.com (Analyze HTTPS Headers of website): 00:02:00</p></div><div><div><p>•Ssllabs.com/ssltest (Look for SSL issues on website): 00:02:00</p></div><div><div><p>•Pastebin.com (Sensitive Information): 00:01:00</p></div><div><div><p>•NMAP Port Scanning (Discover open ports, OS, Services, Vulnerabilities, etc.): 00:15:00</p></div><div><div><p>•Netcat Overview + SMB/NFSEnumeration: 00:14:00</p></div><div><div><p>•Nikto &amp; Sparta Web Application Scanner: 00:06:00</p></div><div><div><p>•SMPT Enumeration + Nessus/Openvas Scanners: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Launching Attacks Overview: 00:10:00</p></div><div><div><p>•Analyzing Information Gathered: 00:04:00</p></div><div><div><p>•Taking Advantage of Telenet: 00:06:00</p></div><div><div><p>•Searching &amp; Understanding Exploits: 00:06:00</p></div><div><div><p>•Copy Exploits From Searchsploit: 00:03:00</p></div><div><div><p>•Understanding Exploits: 00:04:00</p></div><div><div><p>•Launching Exploits: 00:24:00</p></div><div><div><p>•Brute Force Attacks: 00:07:00</p></div><div><div><p>•How To Crack Passwords: 00:04:00</p></div><div><div><p>•ARP Spoofing Overview: 00:21:00</p></div><div><div><p>•Introduction To Cryptography: 00:14:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Post Exploitation Section Overview: 00:03:00</p></div><div><div><p>•Privilege Escalation: 00:29:00</p></div><div><div><p>•Transferring Files in/out of Victim, Creating Custom Malware + Evading Antivirus: 00:27:00</p></div><div><div><p>•Installing a Keylogger: 00:03:00</p></div><div><div><p>•Installing a Backdoor: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Website &amp; Web Application Hacking Overview: 00:06:00</p></div><div><div><p>•Web Application Scanning: 00:08:00</p></div><div><div><p>•Directory Buster Hacking Tool: 00:03:00</p></div><div><div><p>•Nikto Web App Hacking Tool: 00:03:00</p></div><div><div><p>•SQLmap and SQL Ninja Overview: 00:01:00</p></div><div><div><p>•How To Execute Brute Force Attacks: 00:13:00</p></div><div><div><p>•Using Command Injection: 00:03:00</p></div><div><div><p>•Malicious File Upload: 00:10:00</p></div><div><div><p>•Local &amp; Remote File Inclusion: 00:10:00</p></div><div><div><p>•SQL Injection Overview: 00:19:00</p></div><div><div><p>•Using Cross Site Request Forgery: 00:11:00</p></div><div><div><p>•Cross Site Scripting Overview: 00:12:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Mobile Phone Hacking Section Overview: 00:11:00</p></div><div><div><p>•Mobile Attack Vectors: 00:02:00</p></div><div><div><p>•Mobile Hacking Using URLs: 00:02:00</p></div><div><div><p>•Jail Breaking and Rooting Considerations: 00:01:00</p></div><div><div><p>•Privacy Issues (Geo Location): 00:01:00</p></div><div><div><p>•Mobile Phone Data Security: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Getting Your Name Out There Section Overview: 00:02:00</p></div><div><div><p>•Building A Brand: 00:09:00</p></div><div><div><p>•Personal Branding: 00:13:00</p></div><div><div><p>•Setup Your Website and Blog: 00:11:00</p></div><div><div><p>•Writing a Book: 00:10:00</p></div><div><div><p>•Starting a Podcast: 00:08:00</p></div><div><div><p>•Networking Overview: 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Making Money Section Overview: 00:02:00</p></div><div><div><p>•Bug Bounty Programs: 00:04:00</p></div><div><div><p>•How To Start Freelancing: 00:11:00</p></div><div><div><p>•How To Start Client Consulting: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Potential Salary &amp; Cybersecurity Roadmap: 00:10:00</p></div><div><div><p>•Books Recommendations: 00:03:00</p></div><div><div><p>•Places to Practice Hacking for Free: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources - Learn Ethical Hacking From A-Z: Beginner To Expert: 00:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Learn Ethical Hacking From A-Z: Beginner To Expert: 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>

Apex Learning

Online Course Creation

Certified in Cybersecurity (CC)

Cyber Security

Hacking

Certified Ethical Hacker (CEH)

Ethical Hacking

Learn Ethical Hacking From A-Z: Beginner To Expert

SkillWise

Big Data Analytics with PySpark Power BI and MongoDB

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					<p><span>This comprehensive course on <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh </strong></span><span>will deepen your understanding on this topic.</span></p><p><span>After successful completion of this course you can acquire the required skills in this sector. This <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></span><b> </b><span>comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.   </span></p><p><span>So enrol in this course today to fast-track your career ladder.</span></p>					</div>
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					<p><span>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.</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 <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></span><span>. It is available to all students, of all academic backgrounds.</span></p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></span><span> 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.</span></p><p><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></p>					</div>
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					<p><span>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-</span></p><ul><li><span>Open doors of opportunities</span></li><li><span>Increase your adaptability</span></li><li><span>Keep you relevant</span></li><li><span>Boost confidence</span></li></ul><p><span>And much more!</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
						</div>
						</div>
					</div> <h3>Course Curriculum</h3><div><p>7 sections • 25 lectures • 05:04:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python Installation: 00:03:00</p></div><div><div><p>•Installing Third Party Libraries: 00:03:00</p></div><div><div><p>•Installing Apache Spark: 00:12:00</p></div><div><div><p>•Installing Java (Optional): 00:05:00</p></div><div><div><p>•Testing Apache Spark Installation: 00:06:00</p></div><div><div><p>•Installing MongoDB: 00:04:00</p></div><div><div><p>•Installing NoSQL Booster for MongoDB: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Integrating PySpark with Jupyter Notebook: 00:05:00</p></div><div><div><p>•Data Extraction: 00:19:00</p></div><div><div><p>•Data Transformation: 00:15:00</p></div><div><div><p>•Loading Data into MongoDB: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Pre-processing: 00:19:00</p></div><div><div><p>•Building the Predictive Model: 00:12:00</p></div><div><div><p>•Creating the Prediction Dataset: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Loading the Data Sources from MongoDB: 00:17:00</p></div><div><div><p>•Creating a Map Plot: 00:33:00</p></div><div><div><p>•Creating a Bar Chart: 00:09:00</p></div><div><div><p>•Creating a Magnitude Plot: 00:15:00</p></div><div><div><p>•Creating a Grid Plot: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Installing Visual Studio Code: 00:05:00</p></div><div><div><p>•Creating the PySpark ETL Script: 00:24:00</p></div><div><div><p>•Creating the Machine Learning Script: 00:30:00</p></div><div><div><p>•Creating the Dashboard Server: 00:21:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Source Code and Notebook: 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>

Online Course Marketing

Data Engineering

Apache Spark

Professional Skills Course (PSC)

Data Skills

Building Big Data Pipelines with PySpark MongoDB and Bokeh

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><b data-stringify-type="bold" style="color: rgb(209, 210, 211); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(209, 210, 211);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Welcome to Walking in Icy Conditions: Stay Safe During Winter Walks. In this course, you&#39;ll learn:</span></b></p><ol style="color: rgb(236, 236, 236); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(236, 236, 236);"><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Introduction to Geospatial Technology:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Overview of geospatial technology and its significance in various industries.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Historical context and evolution of GIS and related technologies.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Current trends, challenges, and opportunities in the field.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Geographic Information Systems (GIS) Basics:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understanding GIS principles, components, and functionalities.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Spatial data types, formats, and sources.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">GIS software platforms and their capabilities.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Spatial Data Management:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Data acquisition, storage, and organization.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Geodatabases and data models.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Data quality assurance and metadata standards.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Spatial Analysis Techniques:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Basic and advanced spatial analysis methods.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Spatial querying and geoprocessing operations.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Spatial statistics and modeling approaches.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Remote Sensing and Imagery:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Principles of remote sensing.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Satellite and aerial imagery acquisition.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Image interpretation, classification, and analysis.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Web-Based Mapping and Visualization:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Interactive mapping platforms and APIs.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Web mapping technologies (e.g., Leaflet, Mapbox).</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Data visualization techniques for web-based applications.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">Geospatial Programming and Automation:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Introduction to scripting languages (e.g., Python) for geospatial applications.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Automation of GIS workflows and tasks.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Integration with external APIs and services.</li></ul></li><li style="color: rgb(0, 0, 0); font-weight: bold; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-weight: bold;"><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;">GIS Applications and Real-World Projects:</strong></p><ul style="color: initial; font-weight: initial; box-sizing: border-box;" fr-original-style="color: initial; font-weight: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Case studies and examples of GIS applications across various domains (e.g., urban planning, environmental management, disaster response).</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Hands-on projects integrating geospatial technologies to solve real-world problems.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ethical and societal considerations in geospatial technology usage.</li></ul></li></ol>

John Academy

Meta Description:

Explore the dynamic world of Geospatial Technology in this comprehensive course. From GIS basics to advanced spatial analysis techniques, remote sensing, web-based mapping, and geospatial programming, dive into real-world projects and applications. Discover how to manage spatial data, visualize information, and automate processes, equipping yourself with the skills to tackle diverse challenges across industries. Embark on a journey of innovation and exploration in the realm of Geospatial Technology.

Geospatial Technology: Applications and Innovations

<p>Everywhere, from tiny businesses to major corporations, needs people skilled in SQL. In light of this, our online training course has been developed to help you succeed by equipping you with all the necessary skills.</p> <p>The importance of mastering SQL increases if you're looking for your first job in the data industry. You will learn about topics such as SQL fundamentals, data wrangling, SQL analysis, AB testing, distributed computing with Apache Spark, Delta Lake, and more through four increasingly more challenging SQL projects with data science applications. These subjects will equip you with the skills necessary to use SQL creatively for data analysis and exploration, write queries quickly, produce datasets for data analysis, conduct feature engineering, integrate SQL with other data analysis and machine learning toolsets, and work with unstructured data.</p> <p>This Specialisation is designed for a learner with<strong> little or no prior coding expertise</strong> who wants to become <strong>proficient</strong> with SQL queries. Experts have meticulously planned out the curriculum for the SQL Skills Training course with years of expertise. As a result, you will find it simple to learn the course material.</p> <p><strong>Learning outcome</strong></p> <p>After finishing the course, you'll</p> <ul> <li>Learn to utilise the tools for view creation</li><li>Become familiar with updating columns and indexed views</li><li>Be able to test and debug</li><li>Be able to search a database using SQL</li><li>Become more familiar with inline table-valued functions</li><li>Learn the fundamentals of transactions and multiple statements</li></ul> <p><strong>Why Prefer US? </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><strong>*** Course Curriculum ***</strong></p> <p><strong> SQL Programming Course </strong></p> <p><strong>Module 01: Course Introduction</strong></p> <ul> <li>Introduction</li><li>Course Curriculum Overview</li><li>Overview of Databases</li></ul> <p><strong>Module 02: SQL Environment Setup</strong></p> <ul> <li>MySQL Installation</li><li>MySQL Workbench Installation</li><li>Connecting to MySQL using Console</li></ul> <p><strong>Module 03: SQL Statement Basics</strong></p> <ul> <li>Overview of Challenges</li><li>SQL Statement Basic</li><li>SELECT Statement</li><li>SELECT DISTINCT</li><li>Column AS Statement</li><li>COUNT built-in Method usage</li><li>SELECT WHERE Clause - Part One</li><li>SELECT WHERE Clause - Part Two</li><li>Statement Basic</li><li>Limit Clause Statement</li><li>Using BETWEEN with Same Column Data</li><li>How to Apply IN Operator</li><li>Wildcard Characters with LIKE and ILIKE</li></ul> <p><strong>Module 04: GROUP BY Statements</strong></p> <ul> <li>Overview of GROUP BY</li><li>Aggregation function SUM()</li><li>Aggregation MIN() and MAX()</li><li>GROUP BY - One</li><li>GROUP BY - Two</li><li>HAVING Clause</li></ul> <p><strong>Module 05: JOINS</strong></p> <ul> <li>Overview of JOINS</li><li>Introduction to JOINS</li><li>AS Statement table</li><li>INNER Joins</li><li>FULL Outer Join</li><li>LEFT Outer JOIN</li><li>RIGHT JOIN</li><li>Union</li></ul> <p><strong>Module 06: Advanced SQL Commands / Statements</strong></p> <ul> <li>Timestamps</li><li>EXTRACT from timestamp</li><li>Mathematical Functions</li><li>String Functions</li><li>SUBQUERY</li></ul> <p><strong>Module 07: Creating Database and Tables</strong></p> <ul> <li>Basic of Database and Tables</li><li>Data Types</li><li>Primary key and Foreign key</li><li>Create Table in SQL Script</li><li>Insert</li><li>Update</li><li>Delete</li><li>Alter Table</li><li>Drop-Table</li><li>NOT NULL Constraint</li><li>UNIQUE Constraint</li></ul> <p><strong>Module 08: Databases and Tables</strong></p> <ul> <li>Creating a Database backup</li><li>10a Overview of Databases and Tables</li><li>10c Restoring a Database</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 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>The course can be helpful for anyone working in the SQL fields, whether self-employed or employed, regardless of their career level.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>You will not need any prior background or expertise to enrol in this course.</p> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>The vocation of SQL Skills Training moves very quickly but pays well. This position provides unparalleled satisfaction. This is your opportunity to learn more and start changing things.</p> <ul> <li>Query Language Developer</li><li>Server Database Manager</li><li>Python Developer</li><li>Technical Consultant</li><li>Project Implementation Manager</li><li>Software Developer (SQL)</li></ul> 
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £10
        </p>

                        </div>

Academy for Health and Fitness

SQL Programming Course

<strong>We will follow a hands-on approach in this course to learn how to use and apply HTML5 and CSS3 concepts to the front-end page of your projects. A carefully structured beginner-level course that will help you level up your web development skills. You need not have any prior experience in HTML and CSS to take up this course.</strong>
        <p>If you have been considering learning web development or becoming a full-stack developer, this course will not only teach you about CSS3 but will also force you to put it all into practice like a pro.

Many students simply avoid front-end technologies because they believe they are not their cup of tea, but this course will change your mind and turn you into a developer by showing you how to put the principles into practice without having to recall anything.

In this course, we will first look at the basics of web development, then move on to see what CSS is. After that, we will go ahead and do the installation and setup for our local development environment. Then we will see the different techniques that we can use for debugging using developer tools. Next, we will move on to see different kinds of selectors, fronts, and backgrounds in CSS. We will move on to the next concepts of box model, margin, and padding. After that, we will see how the display, position, float, and Z-index work in CSS. Next, we will check out an important property for Flexbox along with media queries and pseudo-selectors for responsive web design, and then move on and see how to use shadow, animation, transition, and transform with CSS, and much more.

You will be able to quickly apply everything you have learned from this course to any project involving front-end programming by the time it is over.

The complete code bundle for this course is available at: https://github.com/PacktPublishing/Practical-CSS3-Mastery-Course</p>
        <h2>What You Will Learn</h2><p>Learn about different plugins and techniques to speed up development<br>Explore various components of the HTML document<br>Learn how to use fonts, colors, borders, background styles<br>Understand the usage of z-index property<br>Learn how to create layouts using Flexbox<br>Create responsive web design using media queries</p>
        <h2>Audience</h2><p>Anyone interested in beginning a career in web development or any backend developer who wants to transition to full-stack development should take this course as this course will start with the basics of CSS.</p>
        <h2>Approach</h2><p>In this course, we will utilize a hands-on approach to teach you how to use and apply HTML5 and CSS3 ideas to any front-end page of your projects.</p>
        <h2>Key Features</h2><p>Learn how to apply various CSS properties in different scenarios * Learn the basics of web development and debugging * Build responsive websites using the core HTML5 and CSS3 concepts</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Practical-CSS3-Mastery-Course</p>
        <h2>About the Author</h2><h3>Ranjan Pandey</h3><p>Ranjan Pandey is a full-stack DevOps software professional with over 11 years of experience in a variety of technologies ranging from web and mobile application development using HTML5, CSS3, JavaScript, jQuery, Bootstrap, Angular, React, Java, Spring, Spring Boot, Python, Flask, Django, NodeJS, Express, Android, Ionic, React Native, Flutter to artificial intelligence and cloud technologies such as Amazon Web Services and Microsoft Azure. He is a certified professional in Java, Azure Cloud, and Backbase products and has experience working with multiple MNCs and European clients. He is also a corporate trainer providing a wide range of training.</p>
        <h2>Course Outline</h2><h4>1. Introduction and Environment Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome Message</p><p style='margin: 0'>Welcome to the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Web Development</p><p style='margin: 0'>In this video, we will have a quick introduction to web development.</p></td></tr><tr><td style='padding: 15px;'><p>3. Installation and Setup</p><p style='margin: 0'>In this video, we will be installing and setting up our coding environment.</p></td></tr></tbody></table><br><h4>2. Basics of HTML and CSS</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Your First HTML</p><p style='margin: 0'>In this video, we will work on our first HTML.</p></td></tr><tr><td style='padding: 15px;'><p>2. HTML Structure</p><p style='margin: 0'>In this video, we will understand the HTML structure.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to CSS</p><p style='margin: 0'>In this video, we will have a quick introduction to CSS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Different Ways of Using CSS</p><p style='margin: 0'>In this video, we will cover different ways of using CSS.</p></td></tr></tbody></table><br><h4>3. Font, Color, Background, Float</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Selectors in CSS</p><p style='margin: 0'>In this video, we will cover selectors in CSS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Debugging Using Developer Tool</p><p style='margin: 0'>In this video, we will cover debugging using the developer tool.</p></td></tr><tr><td style='padding: 15px;'><p>3. Fonts in CSS</p><p style='margin: 0'>In this video, we will cover fonts in CSS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Colors in CSS</p><p style='margin: 0'>In this video, we will cover colors in CSS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Border Background Height Width</p><p style='margin: 0'>In this video, we will cover border background height width.</p></td></tr><tr><td style='padding: 15px;'><p>6. Box Model Margin and Padding</p><p style='margin: 0'>In this video, we will cover box model margin and padding.</p></td></tr><tr><td style='padding: 15px;'><p>7. Float Clear</p><p style='margin: 0'>In this video, we will cover float clear.</p></td></tr></tbody></table><br><h4>4. Selectors, Display, Position, Z Index</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Pseudo Selector</p><p style='margin: 0'>In this video, we will cover the pseudo selector.</p></td></tr><tr><td style='padding: 15px;'><p>2. CSS Display Property</p><p style='margin: 0'>In this video, we will cover CSS display property.</p></td></tr><tr><td style='padding: 15px;'><p>3. CSS Position Property</p><p style='margin: 0'>In this video, we will cover CSS position property.</p></td></tr><tr><td style='padding: 15px;'><p>4. CSS Visibility and Z Index</p><p style='margin: 0'>In this video, we will cover CSS visibility and z index property.</p></td></tr></tbody></table><br><h4>5. Flexbox, Media Queries, and Responsive Design</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. CSS Flexbox</p><p style='margin: 0'>In this video, we will cover CSS Flexbox.</p></td></tr><tr><td style='padding: 15px;'><p>2. CSS Responsive Units - EM, REM, VW, and VH</p><p style='margin: 0'>In this video, we will cover responsive web design using units such as EM, REM, VW, and VH.</p></td></tr><tr><td style='padding: 15px;'><p>3. Media Queries</p><p style='margin: 0'>In this video, we will cover media queries.</p></td></tr></tbody></table><br><h4>6. Advance Selectors, Effects, and Animation</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Advance Pseudo Selector</p><p style='margin: 0'>In this video, we will cover advance pseudo selector.</p></td></tr><tr><td style='padding: 15px;'><p>2. nth Selector</p><p style='margin: 0'>In this video, we will cover the nth selector.</p></td></tr><tr><td style='padding: 15px;'><p>3. Before After Pseudo Selector</p><p style='margin: 0'>In this video, we will cover before after pseudo selector.</p></td></tr><tr><td style='padding: 15px;'><p>4. CSS Box Text Shadow</p><p style='margin: 0'>In this video, we will cover CSS box text shadow.</p></td></tr><tr><td style='padding: 15px;'><p>5. CSS Custom Variables</p><p style='margin: 0'>In this video, we will cover CSS custom variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. CSS Animation Keyframes - Part 1</p><p style='margin: 0'>In this video, we will cover CSS animation keyframes.</p></td></tr><tr><td style='padding: 15px;'><p>7. CSS Animation Keyframes - Part 2</p><p style='margin: 0'>In this video, we will continue with CSS animation keyframes.</p></td></tr><tr><td style='padding: 15px;'><p>8. Transition</p><p style='margin: 0'>In this video, we will cover transition.</p></td></tr><tr><td style='padding: 15px;'><p>9. Transform</p><p style='margin: 0'>In this video, we will cover transform.</p></td></tr></tbody></table>

Packt

JavaScript

Web Development

HTML

We will follow a hands-on approach in this course to learn how to use and apply HTML5 and CSS3 concepts to the front-end page of your projects. A carefully structured beginner-level course that will help you level up your web development skills. You need not have any prior experience in HTML and CSS to take up this course.

Practical CSS3 Mastery Course

<strong>Build and deploy a social network with Node.js, Express, React, Redux and MongoDB. Learn how to put it all together</strong>
        <p>In this course you will build an in depth full stack social network application using Node.js, Express, React, Redux and MongoDB along with ES6+. You will start with a bank text editor and end with a deployed full stack application.</p>
        <h2>What You Will Learn</h2><p>- Build a full stack social network app with React, Redux, Node, Express & MongoDB<br>- Create an extensive backend API with Express<br>- Use Stateless JWT authentication practices<br>- Integrate React with an Express backend in an elegant way<br>- Use Redux for state management<br>- Deploy to Heroku with a post-build script</p>
        <h2>Audience</h2><p>Anyone that wants to learn how to build and deploy a full stack MERN application</p>
        <h2>Approach</h2><p>This is not an "Intro to React" or "Intro to Node" course. It is a practical hands-on course for building an app using the incredible MERN stack. The author tries and explains everything as he goes so it is possible to follow without React/Node experience but it is recommended that you know at least the basics first.</p>
        <h2>Key Features</h2><p>- Building an extensive backend API with Node.js & Express * - Protecting routes/endpoints with JWT (JSON Web Tokens) * - Extensive API testing with Postman * - Integrating React with our backend in an elegant way, creating a great workflow * - Building our frontend to work with the API * - Using Redux for app state management * - Creating reducers and actions for our resources * - Creating many container components that integrate with Redux * - Testing with the Redux Chrome extension</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/mern-stack-front-to-back-full-stack-react-redux-and-node.js</p>
        <h2>About the Author</h2><h3>Brad Traversy</h3><p>Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome To the Course</p><p style='margin: 0'>Introduction: Welcome To the Course</p></td></tr><tr><td style='padding: 15px;'><p>2. A Look at the Main App</p><p style='margin: 0'>Introduction: A Look at the Main App</p></td></tr><tr><td style='padding: 15px;'><p>3. Before We Begin</p><p style='margin: 0'>Introduction: Before We Begin</p></td></tr><tr><td style='padding: 15px;'><p>4. VSCode Setup</p><p style='margin: 0'>Introduction: VSCode Setup</p></td></tr></tbody></table><br><h4>2. Basic Express Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. MongoDB Setup With mLab</p><p style='margin: 0'>Basic Express Setup: MongoDB Setup With mLab</p></td></tr><tr><td style='padding: 15px;'><p>2. Install Dependencies & Basic Server Setup</p><p style='margin: 0'>Basic Express Setup: Install Dependencies &amp; Basic Server Setup</p></td></tr><tr><td style='padding: 15px;'><p>3. Connecting To MongoDB with Mongoose</p><p style='margin: 0'>Basic Express Setup: Connecting To MongoDB with Mongoose</p></td></tr><tr><td style='padding: 15px;'><p>4. Route Files with Express Router</p><p style='margin: 0'>Basic Express Setup: Route Files with Express Router</p></td></tr></tbody></table><br><h4>3. User API Routes & JWT Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the User Model</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Creating the User Model</p></td></tr><tr><td style='padding: 15px;'><p>2. User Registration & Postman</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: User Registration &amp; Postman</p></td></tr><tr><td style='padding: 15px;'><p>3. Email & Password Login</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Email &amp; Password Login</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating the JWT</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Creating the JWT</p></td></tr><tr><td style='padding: 15px;'><p>5. Passport JWT Authentication Strategy</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Passport JWT Authentication Strategy</p></td></tr><tr><td style='padding: 15px;'><p>6. Validation Handlers - 1</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Validation Handlers - 1</p></td></tr><tr><td style='padding: 15px;'><p>7. Validation Handlers - 2</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Validation Handlers - 2</p></td></tr></tbody></table><br><h4>4. Profile API Routes</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Aside - Front End Visual</p><p style='margin: 0'>Profile API Routes: Aside - Front End Visual</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Profile Model</p><p style='margin: 0'>Profile API Routes: Creating the Profile Model</p></td></tr><tr><td style='padding: 15px;'><p>3. Current User Profile Route</p><p style='margin: 0'>Profile API Routes: Current User Profile Route</p></td></tr><tr><td style='padding: 15px;'><p>4. Create & Update Profile Routes</p><p style='margin: 0'>Profile API Routes: Create &amp; Update Profile Routes</p></td></tr><tr><td style='padding: 15px;'><p>5. Profile Field Validations</p><p style='margin: 0'>Profile API Routes: Profile Field Validations</p></td></tr><tr><td style='padding: 15px;'><p>6. More Profile API Routes</p><p style='margin: 0'>Profile API Routes: More Profile API Routes</p></td></tr><tr><td style='padding: 15px;'><p>7. Add Experience & Education Routes</p><p style='margin: 0'>Profile API Routes: Add Experience &amp; Education Routes</p></td></tr><tr><td style='padding: 15px;'><p>8. Delete Education & Experience Routes</p><p style='margin: 0'>Profile API Routes: Delete Education &amp; Experience Routes</p></td></tr></tbody></table><br><h4>5. Post API Routes</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the Post Model</p><p style='margin: 0'>Post API Routes: Creating the Post Model</p></td></tr><tr><td style='padding: 15px;'><p>2. Post Create Route</p><p style='margin: 0'>Post API Routes: Post Create Route</p></td></tr><tr><td style='padding: 15px;'><p>3. Get & Delete Post Routes</p><p style='margin: 0'>Post API Routes: Get &amp; Delete Post Routes</p></td></tr><tr><td style='padding: 15px;'><p>4. Post Like & Unlike Routes</p><p style='margin: 0'>Post API Routes: Post Like &amp; Unlike Routes</p></td></tr><tr><td style='padding: 15px;'><p>5. Add & Remove Comment Routes</p><p style='margin: 0'>Post API Routes: Add &amp; Remove Comment Routes</p></td></tr></tbody></table><br><h4>6. Getting Started With React & the Frontend</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. A Look at the Bootstrap Theme & UI</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: A Look at the Bootstrap Theme &amp; UI</p></td></tr><tr><td style='padding: 15px;'><p>2. Implementing React</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: Implementing React</p></td></tr><tr><td style='padding: 15px;'><p>3. Bootstrap & Assets Setup</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: Bootstrap &amp; Assets Setup</p></td></tr><tr><td style='padding: 15px;'><p>4. Basic Layout</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: Basic Layout</p></td></tr></tbody></table><br><h4>7. React Router & Component State</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. React Router Setup (v4)</p><p style='margin: 0'>React Router &amp; Component State: React Router Setup (v4)</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Register Form with State</p><p style='margin: 0'>React Router &amp; Component State: Creating the Register Form with State</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating the Login Form with State</p><p style='margin: 0'>React Router &amp; Component State: Creating the Login Form with State</p></td></tr><tr><td style='padding: 15px;'><p>4. Testing Registration with Our Form - No Redux Yet</p><p style='margin: 0'>React Router &amp; Component State: Testing Registration with Our Form - No Redux Yet</p></td></tr><tr><td style='padding: 15px;'><p>5. Error Handling & Display</p><p style='margin: 0'>React Router &amp; Component State: Error Handling &amp; Display</p></td></tr></tbody></table><br><h4>8. Redux & Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why We Need Redux</p><p style='margin: 0'>Redux &amp; Authentication: Why We Need Redux</p></td></tr><tr><td style='padding: 15px;'><p>2. Redux Store & Chrome Extension Setup</p><p style='margin: 0'>Redux &amp; Authentication: Redux Store &amp; Chrome Extension Setup</p></td></tr><tr><td style='padding: 15px;'><p>3. Redux Action & Reducer Workflow Example</p><p style='margin: 0'>Redux &amp; Authentication: Redux Action &amp; Reducer Workflow Example</p></td></tr><tr><td style='padding: 15px;'><p>4. Registration & the Error Reducer</p><p style='margin: 0'>Redux &amp; Authentication: Registration &amp; the Error Reducer</p></td></tr><tr><td style='padding: 15px;'><p>5. Redux Login Action & Set Current User</p><p style='margin: 0'>Redux &amp; Authentication: Redux Login Action &amp; Set Current User</p></td></tr><tr><td style='padding: 15px;'><p>6. Login Form Functionality</p><p style='margin: 0'>Redux &amp; Authentication: Login Form Functionality</p></td></tr><tr><td style='padding: 15px;'><p>7. Logout & Conditional Navbar Links</p><p style='margin: 0'>Redux &amp; Authentication: Logout &amp; Conditional Navbar Links</p></td></tr></tbody></table><br><h4>9. Dashboard & Profile State - Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. TextFieldGroupInput Component</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Text: Dashboard &amp; Profile State - Part 1:</p></td></tr><tr><td style='padding: 15px;'><p>2. Profile Reducer & Get Current Profile</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Profile Reducer &amp; Get Current Profile</p></td></tr><tr><td style='padding: 15px;'><p>3. Spinner Component & Dashboard Start</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Spinner Component &amp; Dashboard Start</p></td></tr><tr><td style='padding: 15px;'><p>4. Private Route Setup</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Private Route Setup</p></td></tr><tr><td style='padding: 15px;'><p>5. CreateProfile Component & Route</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: CreateProfile Component &amp; Route</p></td></tr><tr><td style='padding: 15px;'><p>6. Form Field Components</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Form Field Components</p></td></tr><tr><td style='padding: 15px;'><p>7. Create Profile Form</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Create Profile Form</p></td></tr><tr><td style='padding: 15px;'><p>8. Create Profile Functionality</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Create Profile Functionality</p></td></tr></tbody></table><br><h4>10. Dashboard & Profile State - Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Profile Actions Component & Delete Account</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Profile Actions Component &amp; Delete Account</p></td></tr><tr><td style='padding: 15px;'><p>2. Edit Profile Component</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Edit Profile Component</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Experience Form</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Add Experience Form</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Experience Functionality</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Add Experience Functionality</p></td></tr><tr><td style='padding: 15px;'><p>5. Add Education Form & Functionality</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Add Education Form &amp; Functionality</p></td></tr><tr><td style='padding: 15px;'><p>6. Dashboard Experience Display & Delete</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Dashboard Experience Display &amp; Delete</p></td></tr><tr><td style='padding: 15px;'><p>7. Dashboard Education Display & Delete</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Dashboard Education Display &amp; Delete</p></td></tr></tbody></table><br><h4>11. Profile Display</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Profiles Component & getProfiles Action</p><p style='margin: 0'>Profile Display: Profiles Component &amp; getProfiles Action</p></td></tr><tr><td style='padding: 15px;'><p>2. Profile Items</p><p style='margin: 0'>Profile Display: Profile Items</p></td></tr><tr><td style='padding: 15px;'><p>3. Profile By Handle & Sub Components</p><p style='margin: 0'>Profile Display: Profile By Handle &amp; Sub Components</p></td></tr><tr><td style='padding: 15px;'><p>4. Profile Header</p><p style='margin: 0'>Profile Display: Profile Header</p></td></tr><tr><td style='padding: 15px;'><p>5. Profile About & Credentials</p><p style='margin: 0'>Profile Display: Profile About &amp; Credentials</p></td></tr><tr><td style='padding: 15px;'><p>6. Profile Github & Touch Ups</p><p style='margin: 0'>Profile Display: Profile Github &amp; Touch Ups</p></td></tr></tbody></table><br><h4>12. Posts & Comments</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Post State & addPost Action</p><p style='margin: 0'>Posts &amp; Comments: Post State &amp; addPost Action</p></td></tr><tr><td style='padding: 15px;'><p>2. Posts & Post Form Component</p><p style='margin: 0'>Posts &amp; Comments: Posts &amp; Post Form Component</p></td></tr><tr><td style='padding: 15px;'><p>3. getPosts Action & PostFeed Component</p><p style='margin: 0'>Posts &amp; Comments: getPosts Action &amp; PostFeed Component</p></td></tr><tr><td style='padding: 15px;'><p>4. Post Item Component</p><p style='margin: 0'>Posts &amp; Comments: Post Item Component</p></td></tr><tr><td style='padding: 15px;'><p>5. Delete, Like & Unlike Posts</p><p style='margin: 0'>Posts &amp; Comments: Delete, Like &amp; Unlike Posts</p></td></tr><tr><td style='padding: 15px;'><p>6. Single Post Display</p><p style='margin: 0'>Posts &amp; Comments: Single Post Display</p></td></tr><tr><td style='padding: 15px;'><p>7. Comment Form Component & Action</p><p style='margin: 0'>Posts &amp; Comments: Comment Form Component &amp; Action</p></td></tr><tr><td style='padding: 15px;'><p>8. Comment Display & Delete</p><p style='margin: 0'>Posts &amp; Comments: Comment Display &amp; Delete</p></td></tr></tbody></table><br><h4>13. Prepare & Deploy</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Securing Our Keys</p><p style='margin: 0'>Prepare &amp; Deploy: Securing Our Keys</p></td></tr><tr><td style='padding: 15px;'><p>2. Heroku Setup</p><p style='margin: 0'>Prepare &amp; Deploy: Heroku Setup</p></td></tr><tr><td style='padding: 15px;'><p>3. Post Build & Deployment</p><p style='margin: 0'>Prepare &amp; Deploy: Post Build &amp; Deployment</p></td></tr></tbody></table>

Node.js

Build and deploy a social network with Node.js, Express, React, Redux and MongoDB. Learn how to put it all together

MERN Stack Front To Back: Full Stack React, Redux and Node.js

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

Azure Machine Learning

DP-100T01 Designing and Implementing a Data Science Solution on Azure

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
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 Programmers, so we can help you get your foot in the door.
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 Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
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 Certified Python Programmers:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified Python Programmers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. 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.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: 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 Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification Training 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 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. 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 programming/development 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 Python Programming, 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 career in Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 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 

Programming Fundamentals

Career Development

IT Certifications

Become an IT professional with our Python Certification - IT Job Ready Program! Gain comprehensive skills in Python programming, data analysis, and automation. We offer a money-back guarantee if you don't secure a job within six months of completion. Enroll now and jumpstart your tech career!


Ready to land your dream job in tech? Our Python Certification - IT Job Ready Program equips you with essential Python programming, data analysis, and automation skills. Plus, we offer a money-back guarantee if you don't get hired within six months of completing the course. Don't miss out – enroll today and take the first step towards a successful IT career! 💻📊 #PythonCertification #TechTraining #CareerReady #MoneyBackGuarantee

Python Certification - IT Job Ready Program with Money Back Guarantee

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</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 Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</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 Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. 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> No more stress over unexpected interview questions. 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>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 <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</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 </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training 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 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. 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.<br /><br /></p><p><strong>Step 3 - </strong><strong>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.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></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<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></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.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></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.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, 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 career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 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">
                            <ul><li>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</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>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
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 Scientists, so we can help you get your foot in the door.
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 Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
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 Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. 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.
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. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
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 Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training 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 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. 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 Data Science with Python 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 Data Science with Python, 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 career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 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 

Big Data Analytics

Data Science

Data Science with Python - IT Job Ready Program with Career Support & Money Back Guarantee

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Python

Programming

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<p><strong>Start your career as a Data Scientist and earn upto £90,000/ Year</strong></p><p>Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring <strong>Data Scientists</strong>, so we can help you get your foot in the door.</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 Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</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 Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some <strong>Data Scientist</strong> experience, we will guide you towards honing your skills and developing a strong foundation in <strong>Data Science</strong>.<br /><br /></li><li><strong>Tailored CV Building:</strong> Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the <strong>Data Science</strong> field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. 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> No more stress over unexpected interview questions. 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>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 <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. <br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Ultimate Python Training for Beginners</li><li>Course 02: Python Intermediate Training</li><li>Course 03: Python Advanced Training</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Basic Data Analysis</li><li>Course 06: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li>Course 07: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Course 08: Customer Analytics Training</li><li>Course 09: Google Analytics for Everyone</li><li>Course 10: Google Data Studio: Data Analytics</li><li>Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Course 12: Big Data Analytics with PySpark Power BI and MongoDB</li><li>Course 13: Excel Data Analysis</li><li>Course 14: Introduction to Data Analytics with Tableau</li><li>Course 15: Machine Learning with Python Course</li><li>Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI</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 </strong><strong>Data Scientist with Python </strong><strong>Program 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 <strong>Data Scientist </strong>Training 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 16 premium courses related to <strong>Data Scientist</strong>. These courses will teach you the knowledge and skills required to become a successful Data Scientist. 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 - </strong><strong>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: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the <strong>Data Scientist</strong> 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<strong> high-profile individuals and companies</strong> 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, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.</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 Data Science, 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 career in <strong>Data Science</strong> begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 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">
                            <ul><li>Aspiring data scientists looking to enter the exciting field of data science.</li><li>Professionals from other disciplines who want to transition into the data science domain.</li><li>Software engineers or programmers interested in expanding their skill set to include data science.</li><li>Analysts or researchers who want to enhance their data analysis and modeling capabilities.</li><li>Students or graduates seeking to kick-start their careers in data science with a strong foundation.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</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>

Start your career as a Data Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
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 Scientists, so we can help you get your foot in the door.
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 Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
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 Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. 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.
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. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
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 Scientist with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Scientist Training 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 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. 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 Data Scientist 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 Data Science, 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 career in Data Science begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 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 

Data Analyst

Data Scientist with Python - IT Job Ready Program + Career Support & Money Back Guarantee

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (Python 3)

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Riva Learning

Programming Languages

Computing

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

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