Name: SwiftUI and Node.js Full Stack - Build Twitter - iOS 16
Price: 59.99 GBP
Availability: InStock

<h3><b>Overview</b></h3>
<p><b>Uplift Your Career &amp; Skill Up to Your Dream Job - Learning Simplified From Home!</b></p>
<p><span>Kickstart your career &amp; boost your employability by helping you discover your skills, talents and interests with our special </span><b>Internet of Things (IoT) </b><span>Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces.</span></p>
<p><span>The </span><b>Internet of Things (IoT) </b><span>Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This </span><b>Internet of Things (IoT) </b><span>Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</span></p>
<p><span>This </span><b>Internet of Things (IoT) </b><span>Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly.</span></p>
<p><span>At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support.</span></p>
<h3><b>Why buy this Internet of Things (IoT)?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Internet of Things (IoT)</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this course for?</b></h3>
<p><span>This </span><b>Internet of Things (IoT)</b><span> course is ideal for</span></p>
<ul>
<li><span>Students</span></li>
<li><span>Recent graduates</span></li>
<li><span>Job Seekers</span></li>
<li><span>Anyone interested in this topic</span></li>
<li><span>People already working in the relevant fields and want to polish their knowledge and skill.</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Internet of Things (IoT)</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Internet of Things (IoT)</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<p><span>As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This </span><b>Internet of Things (IoT) </b><span>is a great way for you to gain multiple skills from the comfort of your home.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Course Agenda</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Introduction</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Course Agenda</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 01: Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Introduction to Internet of Things</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Choosing Cloud Services for IoT</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: What is Raspberry Pi Part 1?</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: What is Raspberry Pi Part 2?</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 02: Raspberry Pi Installation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Downloading OS for Raspberry Pi Noobs-Raspbian</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Install OS using NOOBS</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Remote Control of Raspberry Pi Using VNC Viewer</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Install OS using Raspbian Image part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Install OS using Raspbian Image part 2</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 03: Getting Around Raspberry Pi</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Getting Around Raspbian Operating System part 1</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Getting around Raspbian Operating System part 2</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Getting around Raspbian Operating System part 3</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: How To Run Python program On Raspberry Pi</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 04: Raspberry Pi GPIO Output</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Raspberry PI GPIO Concepts</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Raspberry Pi GPIO Interfacing Single LED</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Raspberry Pi GPIO Interfacing Multiple LED's</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Rapberry Pi GPIO Interfacing Buzzer</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 05: Output from Raspberry Pi</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Raspberry Pi and Transistorized Switching</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Raspberry Pi and Relay part 1</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Raspberry Pi and Relay part 2</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 06: Inputs to Raspberry Pi</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Accepting Digital Input on Raspberry Pi Part 1</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Accepting Digital Inputs on Raspberry Pi Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 07: Sensor Interfacing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Sensor Interfacing With Raspberry Pi LDR1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Sensor Interfacing With Raspberry Pi LDR 2</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Sensor Interfacing With Raspberry Pi LDR 3</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Sensor Interfacing with Rapberry Pi DHTT11 part 1</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Sensor Interfacing with Rapberry Pi DHTT11 part 2</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 06: Sensor Interfacing with Raspberry pi Using SenseHAT</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 07: Ultrasonic Sensor Interfacing with Raspberry Pi</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: BMP180 with Raspberry Pi</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Enabling I2C on Raspberry Pi</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: BMP180 Python Code</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 09: Internet of Things with Microsoft Azure</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Getting Started With IoT</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Getting Started with Microsoft Azure IoT Hub Part 1</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Getting Started with Microsoft Azure IoT Hub Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Getting Started with Microsoft Azure IoT Hub Part 3</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Create Device inside Azure IoT Hub</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 06: Enable Azure Cloud Shell and enable IoT Extension</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 07: Send Data to Azure IoT Hub Using Python Program</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 08: Send Actual Temperature and Humidity Values to Azure IoT hub</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 09: Storing the Data on Microsoft Azure Using Custom Gateway</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: Save data to blob storage using Stream Analytics Job</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Data Visualization with Power BI Part 1</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 12: Data Visualization with Power BI Part 2</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 13: Creating Custom web app with azure for data visualization Part 1</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 14: Creating Custom web app with azure for data visualization Part 2</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 15: Creating Custom web app with azure for data visualization Part 3</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 16: Dealing with password error while pushing your webapp to azure</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 17: Cleaning up Azure Resources</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 18: Remote Monitoring using Azure Logic App Part 1</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 19: Remote Monitoring using Azure Logic App Part 2</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 10: IoT with Thingspeak</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Introduction to Thingspeak</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Create an account and send data to Thingspeak</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 11: Learn a new platform, Adafruit IO</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Getting started with SaaS IoT Platform io.adafruit.com</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: What is MQTT?</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Sending Data to Adafruit Io Using MQTT Part 1</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Sending Data to Adafruit io Using MQTT part 2</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Home automation project with adafruit IO Part 1</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 06: Home Automation Project with Adafruit IO Part 2</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 12: IOT Security</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: IoT Security</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Conclusion</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Internet of Things (IoT)</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Online Course Marketing

Computing Skills

Trainers Course

IT Networking Fundamentals

Internet of Things (IoT)

General Admission

<p>Having only a degree is not enough to get a job nowadays! Employers expect job seekers to have job-related skills. Also, skilled employees are more likely to get promotions and enjoy job security as they are invaluable to their organisations.</p><p>So, whether you are a fresher who wants to showcase Business Intelligence Analyst skills to potential employers, a professional who wants to flourish in their profession, or an organisation who wants their employees to be up to date with the latest industry skills, then this course is for you.</p><p>Learn everything on Business Intelligence Analyst thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life. This course is comprehensive, instructor-guided, and designed to provide a detailed understanding of the nature of the related sector and your key roles within it.</p><p><strong>Key Features</strong></p><ul><li>Accredited by CPD</li><li>Instant e-certificate</li><li>Fully online, interactive course with audio voiceover</li><li>Developed by qualified professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>*** Additional Gifts ***</strong></p><p><strong>Free Life coaching Course</strong></p><p><strong>Course Curriculum</strong></p><ul><li>Module 01: An Introduction to Business Intelligence</li><li>Module 02: Real-time Business Intelligence</li><li>Module 03: Fundamentals of Statistics and Data Science</li><li>Module 04: Fundamentals of SQL</li><li>Module 05: Database Management Essentials</li><li>Module 06: Data Warehouse Concepts</li><li>Module 07: Data Visualisation in Business Intelligence</li><li>Module 08: Basics of Python</li></ul><p><strong>Accreditation</strong></p><p>This Business Intelligence Analyst is CPD Certification Service (CPD UK) Accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Disclaimer:</strong> The CPD approved course is owned by E-Learning Solutions Ltd and is distributed under license.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your Business Intelligence Analyst course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by The CPD Certification Service
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p> </div>

                        </div>

Training Express

Business Intelligence Course

<strong>Learn to use Fusion 360 for large 3D print projects confidently, real-life model objects like a phone, and design 3D print parts to fit them precisely. Learn to create multiple 3D print parts that interact together, such as hinges, click systems, and more. Acquire 3D modeling knowledge to use these production methods and create unique designs.</strong>
        <p>3D printing or additive manufacturing lets you construct a 3D object from a CAD or digital 3D model. It can be done in various processes in which material is deposited, joined, or solidified under computer control. The material is added together (plastics, liquids, or powder grains fused) layer by layer.

With this project-based course, you will acquire a useful and valuable set of tools and techniques to advance your designs to the next level while creating fun and applicable 3D printable models for your phone. The major skills you will learn include replicating real-life objects (such as a phone) in 3D and creating 3D print parts to fit these real-life objects precisely (a phone case). You will learn various methods to design and implement movement and interaction between 3D print parts through hinges, sliders, snap joints, click systems, and so on. You will also explore slightly more advanced features within Fusion 360, such as parametric modeling, surface modeling, 3D sketching, and importing pictures or meshes as references in your designs.

Upon completion of the course, you will be able to understand the advanced concepts of 3D printing, such as parametric modeling, surface modeling, 3D sketching, and rendering your designs. You will print objects you created through the course and manage 3D printing independently.

All resources are available at: https://github.com/PacktPublishing/Advanced-3D-Printing-with-Fusion-360---Design-Your-Phone-Case</p>
        <h2>What You Will Learn</h2><p>Learn to model a phone using technical drawings<br>Create simple and hinged phone cases and model attachment clips<br>Learn to develop a grip attachment<br>Develop a foldable tripod attachment<br>Create hinges, sliders, snap joints, and click systems using 3D printing<br>Understand how to render the projects you created</p>
        <h2>Audience</h2><p>This course is designed for someone interested in 3D printing or laser cutting. Individuals interested in 3D modeling using Fusion 360 and even industrial designers that use software to design and print models would benefit from this course. The prerequisites include some experience of Fusion 360.</p>
        <h2>Approach</h2><p>The course is delivered in a demonstrative and on-screen presentative mode with explanations and images on 3D printing and creating objects using the Fusion 360 software. A final project work of creating an object with advanced features is added to help you practically understand what you learned by creating a complex object.</p>
        <h2>Key Features</h2><p>Replicate real-life objects (phone) in 3D, create 3D print parts to fit these real-life objects (phone case) * Use Fusion 360 to explore parametric modeling, surface modeling, 3D sketching, and rendering prints * Create multiple 3D print parts that interact together (hinges, click systems, and more)</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Advanced-3D-Printing-with-Fusion-360---Design-Your-Phone-Case</p>
        <h2>About the Author</h2><h3>Larno Visser</h3><p>Larno Visser, an industrial designer from the Netherlands, graduated university specializing in 3D modeling; he uses modern manufacturing methods like 3D printing and laser cutting. Larno has worked with several businesses using these production methods to create incredible designs. He has vast experience tutoring people in 3D modeling with his courses on 3D modeling.

Desainers - Teaching AI is teamed by Juul and Larno. While Juul is an AI master student, the brains behind the courses, Larno is an experienced Udemy instructor and entrepreneur, creating the actual course materials. Together, they help many individuals ride the new AI technology wave and prepare them to exploit the latest tools, regardless of their background or experience.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section introduces the concepts you will learn through this course, including what we will create, an overview of Fusion 360, and what to expect from this course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will look at an introductory overview of the concepts covered in this course, including what we can do with the Fusion 360 software and what you will learn from this course. This will be a project-based course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Your Phone into Fusion</p><p style='margin: 0'>In this video, you will learn to create a phone case, but first, we will begin creating the phone using 3D printing.</p></td></tr><tr><td style='padding: 15px;'><p>3. Modeling a Phone with Technical Drawings</p><p style='margin: 0'>In this video, you will learn to use technical drawings provided by Apple to create an iPhone XR, which is the model we will use throughout this course.</p></td></tr></tbody></table><br><h4>2. Creating the Phone Case</h4><p>This section focuses on creating the phone case. You will learn to create simple and hinged phone cases and learn to model an attachment clip.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating a Simple Phone Case</p><p style='margin: 0'>This video demonstrates how to create a simple phone case for the Apple iPhone XR model, for which we will use the technical drawings.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Hinged Phone Case</p><p style='margin: 0'>In this video, we will look at creating a hinged phone case for the iPhone XR model, which will be the project for the remainder of this course.</p></td></tr><tr><td style='padding: 15px;'><p>3. Upgrading the Hinged Case</p><p style='margin: 0'>After learning to create a simple case, we will now up the ante and learn to create a hinged phone case for the iPhone XR model with flips and hinges.</p></td></tr><tr><td style='padding: 15px;'><p>4. Modeling the Attachment Clip</p><p style='margin: 0'>After 3D printing the case we created in the previous lesson, you will learn to create an attachment clip to add features to the phone case.</p></td></tr></tbody></table><br><h4>3. The Grip - Attachment</h4><p>This section focuses on creating a grip attachment to fit on the back of the phone case as an additional feature.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the Grip Attachment</p><p style='margin: 0'>In this video, we will create the grip attachment to the iPhone XR model phone case and design it for attaching it to the back of the case as an additional feature to clip it to clothing.</p></td></tr><tr><td style='padding: 15px;'><p>2. Finishing the Grip Attachment</p><p style='margin: 0'>In this video, we will create the attachment system for the grip to be attachable to the phone case.</p></td></tr></tbody></table><br><h4>4. The Foldable Tripod - Attachment</h4><p>This section focuses on designing and creating a foldable tripod attachment and finishing and upgrading the foldable tripod.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the Tripod Attachment</p><p style='margin: 0'>In this lesson, we will create the second and final attachment to the phone case, a foldable tripod attachment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Finishing and Upgrading the Tripod</p><p style='margin: 0'>In this demonstration, you will learn to make changes to the tripod stand and create extra grips and features to the tripod stand to enhance its functionality.</p></td></tr></tbody></table><br><h4>5. Render + Conclusion</h4><p>This section focuses on rendering our design. You will learn to render and print the phone case, the hand grip, and the foldable tripod stand attachment.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rendering the Project</p><p style='margin: 0'>In this final course video, you will learn to render the items we created-the Apple iPhone XR model phone case, the hand grip for the phone case, and the foldable tripod stand attachment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conclusion</p><p style='margin: 0'>This video outlines a thank-you note from the instructor and a final demonstration on how to change the attachment system to be oriented horizontally.</p></td></tr></tbody></table>

Packt

3D Printing

Python

TensorFlow

Fusion 360

Learn to use Fusion 360 for large 3D print projects confidently, real-life model objects like a phone, and design 3D print parts to fit them precisely. Learn to create multiple 3D print parts that interact together, such as hinges, click systems, and more. Acquire 3D modeling knowledge to use these production methods and create unique designs.

Advanced 3D Printing with Fusion 360 - Design Your Phone Case

<strong>Learn GitHub Actions in a weekend! This course covers all the important concepts to help you master GitHub Actions and its practical applications. Gain in-demand skills, design a CI/CD pipeline, and deploy infra as code with GitHub Actions. Boost your career with this essential skill for DevOps practices.</strong>
        <p>Workflows are defined by a YAML file checked into your repository and will run when triggered by an event in your repository, or they can be triggered manually, or on a defined schedule. GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

In this intensive course, you will learn the fundamentals of GitHub Actions workflow in a compact timeframe. The course covers important concepts such as the workflow structure and components, events, jobs, steps, and runners. It also dives into various topics such as environment variables, GitHub variables, secure password storage, and manual approvals.

Additionally, the course teaches techniques for sharing values between steps and jobs and explains the use of self-hosted runners. The course concludes with a demonstration of preparing an infrastructure as code (IAC) template with Bicep and deploying it through a GitHub Action workflow. The course will equip you with the skills to automate your entire software workflow using GitHub Actions, from idea to production.

By the end of this course, you will have a solid understanding of how to use GitHub Actions to automate your software workflows.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Learning-GitHub-Actions-for-DevOps-CI-CD</p>
        <h2>What You Will Learn</h2><p>Understand GitHub Action workflow basics<br>Learn about workflow components (event, job, step, runner)<br>Add a self-hosted runner and execute jobs using it<br>Design an IAC template with Bicep to deploy infrastructures<br>Build, push, and deploy Docker containers<br>Deploy a container to the Azure web app for optimal performance</p>
        <h2>Audience</h2><p>This course is designed for cloud consultants who work on platform automation requirements or those who want to experience the power of Azure Serverless Computing.<br><br>Azure IAAS and PAAS administrators, application developers, and cloud computing enthusiasts will also gain a lot from this course.<br><br>To get the most out of this course, you should know about YAML file syntax; some basic understanding of the command line (Win CMD/Unix Shell) will help you quickly grasp the concepts; and Visual Studio Code should be installed on your laptop.</p>
        <h2>Approach</h2><p>This is a concise, easy-to-understand, to-the-point, and well-balanced course on GitHub Actions from scratch. You will look at the basic concepts at the beginning, followed by some advanced topics. With a focus on practical examples and hands-on experience, you will learn how to build, push, and deploy Docker containers with ease.</p>
        <h2>Key Features</h2><p>Get ready to delve into the intricacies of Git workflow in a well-structured and easy-to-understand format * This course is jam-packed with valuable resources, including templates, resource files, and PPTs to enhance your learning experience * A beginner-friendly course on GitHub Actions and related operations, designed to equip you with the latest tools from the ground up</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learning-GitHub-Actions-for-DevOps-CI-CD</p>
        <h2>About the Author</h2><h3>Vijay Saini</h3><p>Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team.

Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the GitHub Action Workflows</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview of GitHub Action Workflow</p><p style='margin: 0'>This video provides an overview of the GitHub Action workflow.</p></td></tr><tr><td style='padding: 15px;'><p>2. Exploring Workflow Components - Events</p><p style='margin: 0'>This video helps in exploring workflow components; here, you will be focusing on events.</p></td></tr><tr><td style='padding: 15px;'><p>3. Exploring Workflow Components - Job, Step, and Runner</p><p style='margin: 0'>This video helps in exploring workflow components; here, you will be focusing on job, step, and runner.</p></td></tr><tr><td style='padding: 15px;'><p>4. Running the Workflow and Reading the Logs</p><p style='margin: 0'>This video helps you with running the workflow and reading the logs.</p></td></tr></tbody></table><br><h4>2. GitHub Actions: Exploring the Features</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Environment Variables</p><p style='margin: 0'>This video explains environment variables in detail. Here, you will look at different ways of creating variables and using their values inside our workflows.</p></td></tr><tr><td style='padding: 15px;'><p>2. Default GitHub Variables</p><p style='margin: 0'>This video explains the default GitHub variables and its use cases.</p></td></tr><tr><td style='padding: 15px;'><p>3. GitHub Actions Store Your Secrets and Passwords Securely</p><p style='margin: 0'>This video demonstrates how GitHub Actions store your secrets and passwords securely.</p></td></tr><tr><td style='padding: 15px;'><p>4. GitHub_Artifacts</p><p style='margin: 0'>This video explains in-depth about GitHub_Artifacts.</p></td></tr><tr><td style='padding: 15px;'><p>5. GitHub Environments | How to Add Manual Approvals</p><p style='margin: 0'>This video demonstrates GitHub environments, and you will focus on how to add manual approvals.</p></td></tr><tr><td style='padding: 15px;'><p>6. Sharing Values Between Steps and Jobs in a Workflow</p><p style='margin: 0'>This video demonstrates how to share the values between steps and jobs in a workflow.</p></td></tr></tbody></table><br><h4>3. GitHub Runners</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is a GitHub Runner</p><p style='margin: 0'>This video provides an introduction to the GitHub runner.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding a Self-Hosted Runner</p><p style='margin: 0'>This video demonstrates how to add a self-hosted runner.</p></td></tr><tr><td style='padding: 15px;'><p>3. Running Jobs on Self-Hosted Runner</p><p style='margin: 0'>This video explains and demonstrates running jobs on a self-hosted runner.</p></td></tr></tbody></table><br><h4>4. GitHub Actions for Infrastructure Deployment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Understanding the Need of Infrastructure as Code</p><p style='margin: 0'>This video helps in understanding the need of Infrastructure as Code (IaC).</p></td></tr><tr><td style='padding: 15px;'><p>2. Developing IAC Template with Bicep to Deploy Infrastructure - Part 1</p><p style='margin: 0'>This is the first of the two-part video where you will develop and deploy an IAC template with Bicep in order to automate infrastructural deployment for specific requirements. These specific requirements are resources such as Storage Account, Container Registry, and Service Bus Namespace.</p></td></tr><tr><td style='padding: 15px;'><p>3. Developing IAC Template with Bicep to Deploy Infrastructure - Part 2</p><p style='margin: 0'>This is the second of the two-part video where you will develop and deploy an IAC template with Bicep in order to automate infrastructural deployment for specific requirements. These specific requirements are resources such as App Service Plan and Web App.</p></td></tr><tr><td style='padding: 15px;'><p>4. Setting Up Authentication</p><p style='margin: 0'>This video helps in setting up authentication.</p></td></tr><tr><td style='padding: 15px;'><p>5. Developing GitHub Actions Workflow for Infra Deployment - Part 1</p><p style='margin: 0'>This is the first of the two-part video where you will develop a GitHub Actions workflow that will use this authentication information to connect with Azure subscription and then deploy the template to a resource group in order to automate end-to-end infrastructure deployment.</p></td></tr><tr><td style='padding: 15px;'><p>6. Developing GitHub Actions Workflow for Infra Deployment - Part 2</p><p style='margin: 0'>This is the second of the two-part video where you will update/enhance the code file, then push it to the repository and test it right away.</p></td></tr></tbody></table><br><h4>5. Continuous Integration and Continuous Deployment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Continuous Integration</p><p style='margin: 0'>This video explains Continuous Integration (CI) from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>2. Continuous Deployment Workflow to Deploy to Azure App Service</p><p style='margin: 0'>This video explains Continuous Deployment (CD) workflow and you will use it to deploy to Azure App Service.</p></td></tr></tbody></table><br><h4>6. Building, Pushing, and Deploying Docker Containers</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Building Dockers with GitHub Actions</p><p style='margin: 0'>This video covers the process of building Docker containers using GitHub Actions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Deploying Dockers with GitHub Actions</p><p style='margin: 0'>Learn how to deploy Docker containers using GitHub Actions in this video tutorial.</p></td></tr></tbody></table>

Java

DevOps

GitHub

Learn GitHub Actions in a weekend! This course covers all the important concepts to help you master GitHub Actions and its practical applications. Gain in-demand skills, design a CI/CD pipeline, and deploy infra as code with GitHub Actions. Boost your career with this essential skill for DevOps practices.

Learning GitHub Actions for DevOps CI/CD

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					<div><p>If you're wondering, what is ethical hacking? Ethical hacking uses hacking techniques for the good of an organization. Authorized individuals, known as ethical hackers, test a system's security. They do this by trying to break into it. They report their findings to the organization. This allows the organization to fix the vulnerabilities. In today's digital world, cyber threats are evolving. Organizations need a new breed of hero: the ethical hacker. They do this before malicious actors can. Ethical hackers can help organizations by understanding the attacker's mindset and techniques. This helps them strengthen their defences and stay ahead of the curve.<br />There are several ways to become an ethical hacker. Some people choose to get a formal education in cybersecurity. Others learn the skills on their own. You can also get certified in ethical hacking. For example, with the Certified Ethical Hacker (CEH) certification.<br />Many organizations need skilled ethical hackers. They need them to safeguard their valuable data and infrastructure. This translates to excellent job security and competitive salaries. Furthermore, nothing can match the unparalleled intellectual challenge. Each system waits to unravel, holding a unique puzzle. You also have the satisfaction of knowing you're making a real difference. You're protecting people and their information from malicious actors. With ethical hacking training and unwavering determination, you can become a cybersecurity champion. Join now to discover. </p></div>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Hacking Online Course</strong></td>
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					<td>▶</td>
					<td>Module 01: Malware fundamentals</td><td><span>🕐 00:16:00</span></td>
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					<td>Module 02: C fundamentals of hacking programming and files using Kali Linux</td><td><span>🕐 00:30:00</span></td>
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					<td>Module 03: Basics of python coding for networking and hacking with Kali Linux</td><td><span>🕐 00:12:00</span></td>
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					<td>Module 04: Generating payloads with TheFatRat and Kali Linux</td><td><span>🕐 00:09:00</span></td>
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					<td>Module 05: Fundamentals of sniffing and sniffing tools</td><td><span>🕐 00:18:00</span></td>
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					<td>Module 06: Net sniffing Ettercap Wireshark</td><td><span>🕐 00:11:00</span></td>
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					<td>Module 07: TcpDump</td><td><span>🕐 00:14:00</span></td>
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					<td>Module 08: WireShark</td><td><span>🕐 00:17:00</span></td>
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					<td>Module 09: Social engineering fundamentals</td><td><span>🕐 00:20:00</span></td>
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					<td>Module 10: Social engineering facebook attack using setoolkit and Kali Linux</td><td><span>🕐 00:14:00</span></td>
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					<td>Module 11: Social engineering attacks using BEEF and Kali Linux</td><td><span>🕐 00:15:00</span></td>
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					<td>Module 12: SET Spearfish</td><td><span>🕐 00:14:00</span></td>
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					<td>Module 13: SET Payload</td><td><span>🕐 00:08:00</span></td>
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		                        </div>

Skill Up

Learn with our our premium Ethical Hacking Online Course, which includes modules like Malware Fundamentals, TcpDump, Wireshark, and Discover Hacking Ethics.

Ethical Hacking Online Course

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					<div><p><span>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Instagram Marketing - How to Get Viral</span><span> has been specially designed to help learners gain a good command of Instagram Marketing - How to Get Viral</span><span>, providing them with a solid foundation of knowledge to become a qualified professional.</span></p><p><span>Through this Instagram Marketing - How to Get Viral</span><span>, you will gain both practical and theoretical understanding of Instagram Marketing - How to Get Viral</span><span> that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</span></p></div>
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				<h2>Learning outcome</h2>
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				<div>
					<ul>
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											<span>
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										<span>Gain an understanding of Instagram Marketing - How to Get Viral</span>
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										<span>Learn about numpy package for calculations</span>
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										<span>Learn about panda package for Data cleaning</span>
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										<span>Be able to define matplotlib Data visualization</span>
									</li>
						</ul>
				</div>
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				<h2>Requirements</h2>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to any internet-enabled smart device.</span>
									</li>
						</ul>
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				<h2>Why should I take this course?</h2>
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										<span>2+ hours of on-demand video lectures and downloadable resources.</span>
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										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
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										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
									</li>
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		</section>
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					<ul>
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										<span>Who is This Course For?</span>
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										<span>Individuals interested in Python Data Science </span>
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										<span>Students</span>
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										<span>Job Seekers </span>
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										<span>Existing worker wanting to polish their skills</span>
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										<span>Workers wanting pay rise or promotion </span>
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		</div>
						</div>
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		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Section 1: Introduction</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Instagram Growth Masterclass</td><td><span>🕐 00:02:00</span></td>
				</tr>
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					<td>▶</td>
					<td>Unit 2: Incentivisation</td><td><span>🕐 00:06:00</span></td>
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					<td colspan="4"><strong>Section 2: Instagram Marketing</strong></td>
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					<td>▶</td>
					<td>Unit 1: Referral Marketing on Instagram</td><td><span>🕐 00:06:00</span></td>
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					<td>▶</td>
					<td>Unit 2: Referral Marketing Types on Instagram</td><td><span>🕐 00:05:00</span></td>
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					<td>▶</td>
					<td>Unit 3: How Instagram Giveaways Work</td><td><span>🕐 00:17:00</span></td>
				</tr>
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					<td>▶</td>
					<td>Unit 4: Choosing the Best Prizes for Your Instagram</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Section 3: Instagram Growth</strong></td>
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					<td>▶</td>
					<td>Unit 1: Different Instagram Giveaway Prize Types</td><td><span>🕐 00:11:00</span></td>
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					<td>▶</td>
					<td>Unit 2: Building Your Instagram Giveaway</td><td><span>🕐 00:20:00</span></td>
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					<td>▶</td>
					<td>Unit 3: Creating Engaging Share Images for Instagram</td><td><span>🕐 00:05:00</span></td>
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					<td>▶</td>
					<td>Unit 4: Campaign Update Templates</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Unit 5: Organic Instagram Marketing</td><td><span>🕐 00:14:00</span></td>
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					<td>▶</td>
					<td>Unit 6: Paid Instagram Ads Marketing</td><td><span>🕐 00:15:00</span></td>
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				</tbody></table></div>

			</div>
		                        </div>

Linkedin Marketing

Online Course Creation

Instagram Marketing

TikTok Marketing

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Instagram Marketing - How to Get Viral

<strong>Starting with the basics, such as variables and operators, to advanced concepts, such as inheritance and encapsulation, this course covers the entire spectrum to help you gain the skills needed to start developing applications in TypeScript.</strong>
        <p>TypeScript makes the life of developers easy by simplifying code. It follows programming conventions that make the project easy to understand even for someone from the distributed team who has no prior knowledge. This makes it popular among developers who use JavaScript frameworks, AngularJS, and Vue.js. This course will show you how TypeScript provides structures such as Java and Python to make coding easy.

Starting with an introduction to TypeScript, the course highlights why you should use it. Once you've set up the development environment, you'll write your first program using Visual Studio Code to understand variables and data types in TypeScript. Next, you'll become familiar with operators and learn how to control the flow of your application with flow control statements such as If, Else, Switch, and While Loop.

As you progress, you'll develop efficient TypeScript applications using functions, interfaces, classes, and inheritance. You'll also learn how to use different access modifiers and encapsulate classes and objects. Finally, you find out how you can use typecasting to convert one data type to another and use function modules.

By the end of this course, you'll be ready to start your career as a TypeScript developer and easily learn newer versions of JavaScript such as ES 6 or 7 in the future. The entire code bundle for this course is available at https://github.com/PacktPublishing/TypeScript-For-Beginners.</p>
        <h2>What You Will Learn</h2><p>Define variables using data types<br>Learn how to use variable prefixes such as let and const<br>Create functions that take a variable number of arguments<br>Control the flow of a program with flow statements<br>Discover how to create objects using classes<br>Reuse objects through inheritance</p>
        <h2>Audience</h2><p>Whether you are a JavaScript developer who wants to learn and master the fundamentals of TypeScript or a developer with a background in any OOP language looking to learn AngularJS, this course is for you. Basic knowledge of JavaScript is necessary to get started with this course.</p>
        <h2>Approach</h2><p>With the help of simple narration and elaborate examples, this video course will equip you with fundamental TypeScript skills.</p>
        <h2>Key Features</h2><p>Get to grips with the basics of TypeScript and understand what it offers * Learn ways to create functions that take optional, default, and variable number of arguments * Gain insights into the key object-oriented principles used in TypeScript</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/TypeScript-For-Beginners</p>
        <h2>About the Author</h2><h3>Bharath Thippireddy</h3><p>Bharath Thippireddy is an entrepreneur, software architect, and public speaker who has trained over 350,000 students across the globe. He is an Oracle certified developer, web component developer, business component developer, and web services developer who loves learning new things in technology and personal development, and sharing them on his website and YouTube channel.

He has mentored students in classroom training as well as in the corporate world in India and USA and has spoken on technical topics at several Agile conferences. While in India, he volunteers to teach interviews and soft skills at Vivekananda Kendra.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Variables and Data Types</h4><p></p><br><h4>3. Operators</h4><p></p><br><h4>4. Flow Control Statements</h4><p></p><br><h4>5. Objects and Arrays</h4><p></p><br><h4>6. Functions</h4><p></p><br><h4>7. Arrow Functions</h4><p></p><br><h4>8. Variable Prefixes</h4><p></p><br><h4>9. Interfaces</h4><p></p><br><h4>10. Inheritance</h4><p></p><br><h4>11. Classes</h4><p></p><br><h4>12. Access modifiers , Encapsulation and Static</h4><p></p><br><h4>13. Type Casting</h4><p></p><br><h4>14. Modules</h4><p></p><br><h4>15. Wrap Up</h4><p></p>

JavaScript

Typescript

Web Development

Starting with the basics, such as variables and operators, to advanced concepts, such as inheritance and encapsulation, this course covers the entire spectrum to help you gain the skills needed to start developing applications in TypeScript.

TypeScript for Beginners

<strong>Learn to build a custom object-oriented PHP MVC framework and application</strong>
        <p>In this course, we will go step-by-step to build a complete custom MVC (Model View Controller) framework called TraversyMVC using object-oriented PHP. We will build something like CodeIgniter, but much lighter. This framework is completely open source, and you are free to change the name, add elements, and use it as your own in your own projects.

This framework will include: -
&bull;	A core library class to load controllers and methods from the URL (also using .htaccess).
&bull;	A base controller class to load models and views.
&bull;	A custom database library using PDO for all models to interact with the database using prepared statements.

We will not only create the framework but will build an application on top of it called SharePosts which will comprise something akin to a social network to share posts. This application will include: -
&bull;	Full user authentication 
&bull;	Access control for posts 
&bull;	Server-side form validation 
&bull;	Bootstrap 4 UI 
&bull;	Posts CRUD 
&bull;	Helper functions (flash messaging and redirects)

We will also deploy the application to the Internet. This is not a beginner PHP course. To learn the basics, please check out the PHP Front-To-Back series by Traversy Media.

All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Object-Oriented-PHP-and-MVC</p>
        <h2>What You Will Learn</h2><p>Build a custom MVC Framework entirely from scratch<br>Build an application using your custom framework<br>Create a custom PDO class to handle database interactions<br>Complete user authentication using OOP and PDO<br>Deploy your custom PHP application</p>
        <h2>Audience</h2><p>This course is for people who want to learn advanced OOP PHP and MVC (Model View Controller) with basic knowledge of PHP and programming concepts.</p>
        <h2>Approach</h2><p>An exhaustive course packed with step-by-step instructions, working examples, and helpful advice. This course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest.</p>
        <h2>Key Features</h2><p>The course is constructed to explain the fundamental principles required to build a customized framework with object-oriented PHP. * Clear, precise and thorough methodologies are used to explain the concepts and take you through the process of building the application</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/object-oriented-php-and-mvc</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. Course Intro & Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome To the Course</p><p style='margin: 0'>Course Intro &amp; Setup: Welcome To the Course</p></td></tr><tr><td style='padding: 15px;'><p>2. Project Files & Questions</p><p style='margin: 0'>Course Intro &amp; Setup: Project Files &amp; Questions</p></td></tr><tr><td style='padding: 15px;'><p>3. XAMPP Environment Setup</p><p style='margin: 0'>Course Intro &amp; Setup: XAMPP Environment Setup</p></td></tr></tbody></table><br><h4>2. Intro to OOP PHP</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. About This Section</p><p style='margin: 0'>Intro to OOP PHP: About This Section</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is OOP?</p><p style='margin: 0'>Intro to OOP PHP: What Is OOP?</p></td></tr><tr><td style='padding: 15px;'><p>3. Classes, Properties & Methods</p><p style='margin: 0'>Intro to OOP PHP: Classes, Properties &amp; Methods</p></td></tr><tr><td style='padding: 15px;'><p>4. The Constructor & Destructor</p><p style='margin: 0'>Intro to OOP PHP: The Constructor &amp; Destructor</p></td></tr><tr><td style='padding: 15px;'><p>5. Access Modifiers, Getters & Setters</p><p style='margin: 0'>Intro to OOP PHP: Access Modifiers, Getters &amp; Setters</p></td></tr><tr><td style='padding: 15px;'><p>6. Class Inheritance</p><p style='margin: 0'>Intro to OOP PHP: Class Inheritance</p></td></tr><tr><td style='padding: 15px;'><p>7. Static Methods & Properties</p><p style='margin: 0'>Intro to OOP PHP: Static Methods &amp; Properties</p></td></tr></tbody></table><br><h4>3. The Framework [Part 1] - The Core</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is MVC?</p><p style='margin: 0'>The Framework [Part 1] - The Core: What Is MVC?</p></td></tr><tr><td style='padding: 15px;'><p>2. Workflow Explanation</p><p style='margin: 0'>The Framework [Part 1] - The Core: Workflow Explanation</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating the Folder Structure</p><p style='margin: 0'>The Framework [Part 1] - The Core: Creating the Folder Structure</p></td></tr><tr><td style='padding: 15px;'><p>4. Direct Everything Through index.php</p><p style='margin: 0'>The Framework [Part 1] - The Core: Direct Everything Through index.php</p></td></tr><tr><td style='padding: 15px;'><p>5. Bootstrap File & Core Class</p><p style='margin: 0'>The Framework [Part 1] - The Core: Bootstrap File &amp; Core Class</p></td></tr><tr><td style='padding: 15px;'><p>6. Loading the Controller from the URL</p><p style='margin: 0'>The Framework [Part 1] - The Core: Loading the Controller from the URL</p></td></tr><tr><td style='padding: 15px;'><p>7. Mapping Methods & Parameters</p><p style='margin: 0'>The Framework [Part 1] - The Core: Mapping Methods &amp; Parameters</p></td></tr></tbody></table><br><h4>4. The Framework [Part 2] - MVC Workflow</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Base Controller Class</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: Base Controller Class</p></td></tr><tr><td style='padding: 15px;'><p>2. Loading Views</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: Loading Views</p></td></tr><tr><td style='padding: 15px;'><p>3. Config File & Uploader</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: Config File &amp; Uploader</p></td></tr><tr><td style='padding: 15px;'><p>4. Header & Footer Includes</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: Header &amp; Footer Includes</p></td></tr><tr><td style='padding: 15px;'><p>5. Aside - PDO Crash Course</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: Aside - PDO Crash Course</p></td></tr><tr><td style='padding: 15px;'><p>6. The Database Class - Part 1</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: The Database Class - Part 1</p></td></tr><tr><td style='padding: 15px;'><p>7. The Database Class - Part 2</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: The Database Class - Part 2</p></td></tr><tr><td style='padding: 15px;'><p>8. Clean Up</p><p style='margin: 0'>The Framework [Part 2] - MVC Workflow: Clean Up</p></td></tr></tbody></table><br><h4>5. The App [1] - Setup & User Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Initial App & Database Setup</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: Initial App &amp; Database Setup</p></td></tr><tr><td style='padding: 15px;'><p>2. Pages, Bootstrap & Navbar</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: Pages, Bootstrap &amp; Navbar</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating the Users Controller</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: Creating the Users Controller</p></td></tr><tr><td style='padding: 15px;'><p>4. Register & Login Form Views</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: Register &amp; Login Form Views</p></td></tr><tr><td style='padding: 15px;'><p>5. Form Validation</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: Form Validation</p></td></tr><tr><td style='padding: 15px;'><p>6. User Model & Email Check</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: User Model &amp; Email Check</p></td></tr><tr><td style='padding: 15px;'><p>7. User Registration</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: User Registration</p></td></tr><tr><td style='padding: 15px;'><p>8. Custom Flash Messaging</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: Custom Flash Messaging</p></td></tr><tr><td style='padding: 15px;'><p>9. User Login</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: User Login</p></td></tr><tr><td style='padding: 15px;'><p>10. User Session Data & Logout</p><p style='margin: 0'>The App [1] - Setup &amp; User Authentication: User Session Data &amp; Logout</p></td></tr></tbody></table><br><h4>6. The App [2] - Posts Functionality</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Posts Controller</p><p style='margin: 0'>The App [2] - Posts Functionality: Posts Controller</p></td></tr><tr><td style='padding: 15px;'><p>2. Posts Access Control</p><p style='margin: 0'>The App [2] - Posts Functionality: Posts Access Control</p></td></tr><tr><td style='padding: 15px;'><p>3. Post Model & Display</p><p style='margin: 0'>The App [2] - Posts Functionality: Post Model &amp; Display</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Post Form</p><p style='margin: 0'>The App [2] - Posts Functionality: Add Post Form</p></td></tr><tr><td style='padding: 15px;'><p>5. Inserting Posts</p><p style='margin: 0'>The App [2] - Posts Functionality: Inserting Posts</p></td></tr><tr><td style='padding: 15px;'><p>6. Post Show Details Page</p><p style='margin: 0'>The App [2] - Posts Functionality: Post Show Details Page</p></td></tr><tr><td style='padding: 15px;'><p>7. Editing Posts</p><p style='margin: 0'>The App [2] - Posts Functionality: Editing Posts</p></td></tr><tr><td style='padding: 15px;'><p>8. Deleting Posts</p><p style='margin: 0'>The App [2] - Posts Functionality: Deleting Posts</p></td></tr></tbody></table><br><h4>7. App Deployment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Deploying Our App</p><p style='margin: 0'>App Deployment: Deploying Our App</p></td></tr></tbody></table>

Programming

Learn to build a custom object-oriented PHP MVC framework and application

Object Oriented PHP and MVC

Basic Security Training (BST)

Basic Life Support (BLS)

Bar Professional Training Course (BPTC)

Life Coach Training

Health Coach Training

Studyhub Lifetime Prime Membership

Swift

SwiftUI

Node.js

Postman

Xcode

MongoDB

Do you want to create outstanding apps with SwiftUI?

Moreover, are you eager to build up your professional portfolio and show up in your next job interview with confidence?

This complete iOS application development course is designed to teach you how to become an advanced multiplatform app developer using Apple's native user interface framework: SwiftUI.

SwiftUI and Node.js Full Stack - Build Twitter - iOS 16

<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>

Nexus Human

Data Engineering

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

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 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
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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
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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 

Academy for Health and Fitness

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!


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Python Certification - IT Job Ready Program with 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>

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)

<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 Skills

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

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			<h2><b>Course Overview</b></h2>		</div>
				</div>
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				<div>
					<div><p><span>Are you looking to secure a career in Python programming or software engineering?</span></p><p><span>The</span><b> Python Programming</b><span> course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.</span></p><p><span>This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.</span></p></div>
				</div>
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					<div><p>This best selling <strong>Python Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Python Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Python Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Python Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Python Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Python Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Python Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Python Programming

<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.

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					<div><p>Basic Python 3.9  has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the course today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Basic Python 3.9  has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Basic Python 3.9  is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. This course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Basic Python 3.9 , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Python 3.9  will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Basic Python 3.9  to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.</p></div>
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Basic Python 3.9

<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.

Introducing coding using Python

General admission

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).

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 

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