Name: Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed
Price: 119 GBP
Availability: InStock

<strong>Learn Database Driven Web Development With Django and Python!</strong>
        <p>Django and Python can seem overwhelming at first, but they don't have to be! In this course, I'll walk you through it step by step and you'll be building your first web app in minutes. You'll be amazed how quick and easy it is to create very professional looking websites, even if you have no programming or web design experience at all.
Watch over my shoulder as I build a cool Stock Market app step by step right in front of you. You'll follow along and build your own copy. By the time we're finished, you'll have a solid understanding of Django and how to use it to build awesome web apps.

The course contains 39 videos - and is just over 2 hours long. Watch the videos at your own pace, and post questions along the way if you get stuck. You don't need any special knowledge or software to take this course, though any experience with HTML or CSS is a plus. You don't even need to know the Python programming language. Django is a great web development tool and learning it has never been this easy.

What We'll Build...
- We'll build a cool Stock Market Portfolio app that let's you save stock ticker symbols to the database, then connects to a third party API to collect stock market information about your stocks!
- We'll style the website using the popular Bootstrap CSS framework (I'll show you how to use it!)</p>
        <h2>What You Will Learn</h2><p>Introductory Django<br>How to Build Database Driven Websites With Django<br>How To Use API s In Your Django App<br>How To Get Stock Market Data For Your App<br>Download and Install Python<br>How To Manage URL s<br>How to Create Views/Pages<br>How to Use Templates<br>Basic CSS with Bootstrap 4.1</p>
        <h2>Audience</h2><p>This course is aimed at absolute beginners who want to learn to build Websites with Django and Python.</p>
        <h2>Approach</h2><p>Follow along with the instructor and build what he builds. Learn as you build with this hands-on video series.</p>
        <h2>Key Features</h2><p>The course is really very helpful for someone who is starting to learn Django framework. Hands-on approach also helps one understand things in a quicker way * No programming skills or special tools are necessary to take this course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/build-a-stock-market-web-app-with-python-and-django</p>
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. SETUP AND INSTALLATION</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>SETUP AND INSTALLATION: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Install Sublime and Git Bash Terminal</p><p style='margin: 0'>SETUP AND INSTALLATION: Install Sublime and Git Bash Terminal</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Python</p><p style='margin: 0'>SETUP AND INSTALLATION: Install Python</p></td></tr><tr><td style='padding: 15px;'><p>4. Create a Virtual Environment</p><p style='margin: 0'>SETUP AND INSTALLATION: Create a Virtual Environment</p></td></tr><tr><td style='padding: 15px;'><p>5. Install Django and Startproject</p><p style='margin: 0'>SETUP AND INSTALLATION: Install Django and Startproject</p></td></tr><tr><td style='padding: 15px;'><p>6. Django Admin Area</p><p style='margin: 0'>SETUP AND INSTALLATION: Django Admin Area</p></td></tr></tbody></table><br><h4>2. LEARN DJANGO FOR WEB DEVELOPMENT</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Startapp</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Startapp</p></td></tr><tr><td style='padding: 15px;'><p>2. Include URLS</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Include URLS</p></td></tr><tr><td style='padding: 15px;'><p>3. Create Homepage Views and URLs</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Create Homepage Views and URLs</p></td></tr><tr><td style='padding: 15px;'><p>4. Create About Page</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Create About Page</p></td></tr><tr><td style='padding: 15px;'><p>5. Extends Base.html</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Extends Base.html</p></td></tr><tr><td style='padding: 15px;'><p>6. Bootstrap CSS and Navbar</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Bootstrap CSS and Navbar</p></td></tr><tr><td style='padding: 15px;'><p>7. Django Links</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Django Links</p></td></tr><tr><td style='padding: 15px;'><p>8. Stock API Introduction</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Stock API Introduction</p></td></tr><tr><td style='padding: 15px;'><p>9. Connect to the API</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Connect to the API</p></td></tr><tr><td style='padding: 15px;'><p>10. API FOR Loop</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: API FOR Loop</p></td></tr><tr><td style='padding: 15px;'><p>11. Format API Results</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Format API Results</p></td></tr><tr><td style='padding: 15px;'><p>12. Form Part 1</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Form Part 1</p></td></tr><tr><td style='padding: 15px;'><p>13. Form Part 2</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Form Part 2</p></td></tr><tr><td style='padding: 15px;'><p>14. Form Recap</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Form Recap</p></td></tr><tr><td style='padding: 15px;'><p>15. Add Stock Page</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Add Stock Page</p></td></tr><tr><td style='padding: 15px;'><p>16. Stock Class Model</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Stock Class Model</p></td></tr><tr><td style='padding: 15px;'><p>17. Add Model to Admin Area</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Add Model to Admin Area</p></td></tr><tr><td style='padding: 15px;'><p>18. Output Database to Webpage</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Output Database to Webpage</p></td></tr><tr><td style='padding: 15px;'><p>19. Add Stock Ticker to Database</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Add Stock Ticker to Database</p></td></tr><tr><td style='padding: 15px;'><p>20. Stock Form</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Stock Form</p></td></tr><tr><td style='padding: 15px;'><p>21. Delete Stocks from Database</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Delete Stocks from Database</p></td></tr><tr><td style='padding: 15px;'><p>22. Django Messages</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Django Messages</p></td></tr><tr><td style='padding: 15px;'><p>23. Table Introduction</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Table Introduction</p></td></tr><tr><td style='padding: 15px;'><p>24. Table Configuration</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Table Configuration</p></td></tr><tr><td style='padding: 15px;'><p>25. Add Database Data to Bootstrap Table</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Add Database Data to Bootstrap Table</p></td></tr><tr><td style='padding: 15px;'><p>26. Connect Table To API</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Connect Table To API</p></td></tr><tr><td style='padding: 15px;'><p>27. API Output to Screen</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: API Output to Screen</p></td></tr><tr><td style='padding: 15px;'><p>28. API Output to Table</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: API Output to Table</p></td></tr><tr><td style='padding: 15px;'><p>29. Delete Buttons</p><p style='margin: 0'>LEARN DJANGO FOR WEB DEVELOPMENT: Delete Buttons</p></td></tr></tbody></table><br><h4>3. VERSION CONTROL</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. SSH Keys</p><p style='margin: 0'>VERSION CONTROL: SSH Keys</p></td></tr><tr><td style='padding: 15px;'><p>2. GIT Version Control</p><p style='margin: 0'>VERSION CONTROL: GIT Version Control</p></td></tr><tr><td style='padding: 15px;'><p>3. GitHub</p><p style='margin: 0'>VERSION CONTROL: GitHub</p></td></tr><tr><td style='padding: 15px;'><p>4. Conclusion Bonus Video</p><p style='margin: 0'>VERSION CONTROL: Conclusion Bonus Video</p></td></tr></tbody></table>

Packt

Database

Web Development

HTML

Python

Learn Database Driven Web Development With Django and Python!

Build a Stock Market Web App with Python and Django

General Admission

<div>
	[vc_row][vc_column][vc_column_text]
<h3><b>Description: </b></h3>
<p><span>With the world reaching higher level digitisation day by day, object-oriented (OO) programming is very much on the rise. One of the most highly used OO programming languages is Python. With this </span><b>Python 3 for Beginners</b><span> course, you will delve into the world of OO coding and fast-track your career in computer science.</span></p>
<p><span>This Python 3 course is a guide on how to get started in learning Python, illustrating the benefits of learning Python 3 and how it can be utilised for data science. Web developers love Python because the syntax of the language is clean, and Python code length is relatively short. Working in Python allows you to analyse data rather than focus on the syntax and make the most of its user-friendly data structures.</span><span>Master programming in Python and discover </span><b>the fastest and most effective way to learn Python programming language</b><span>, with this introductory online course.</span></p>
<h3><b>Assessment:</b></h3>
<ul>
<li>At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not.</li>
<li>Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.</li>
</ul>
<h3><b>Certification:</b></h3>
<ul>
<li>After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement.</li>
<li>Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.</li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Python 3 for Beginners </b>is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills.</p>
<p>As there is no experience and qualification required for this course, it is available for all students from any academic background.</p>
<h3><b>Requirements</b></h3>
<p>Our<b> Python 3 for Beginners</b> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</p>
<h3><b>Career Path</b></h3>
<p>After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row]
		</p></div><table width="100%">				<tbody><tr>
					<td colspan="4">Module :01</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Installing Python</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Documentation</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Command Line</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Variables</td>
					<td> </td>
					<td><span><i></i> 00:29:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Simple Python Syntax</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Keywords</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Import Module</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Additional Topics</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module :02</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>If Elif Else</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Iterable</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>For</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Loops</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Execute</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exceptions</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Types</td>
					<td> </td>
					<td><span><i></i> 00:24:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module :03</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Number Types</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>More Number Types</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Strings</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>More Strings</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Files</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Lists</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dictionaries</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tuples</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sets</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module :04</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Comprehensions</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Definitions</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Functions</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Default Arguments</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Doc Strings</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Variadic Functions</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Factorial</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Function Objects</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module :05</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Lambda</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generators</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Closures</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Classes</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Object Initialization</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Class Static Members</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Classic Inheritance</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Hiding</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Python 3 for Beginners</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Python 3 for Beginners</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificates and Transcripts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Online Course Creation

Programming Fundamentals

Computer Programming

Trainers Course

Python 3 for Beginners

<strong>This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.</strong>
        <p>Welcome to the course where you will learn about the NumPy stack in Python, which is an important prerequisite for deep learning, machine learning, and data science.

In this self-paced course, you will learn how to use NumPy, Matplotlib, Pandas, and SciPy to perform critical tasks related to data science and machine learning. This involves performing numerical computation and representing data, visualizing data with plots, loading in, and manipulating data using DataFrames, performing statistics and probability, and building machine learning models for classification and regression.

In this course, we will first start with NumPy; we will understand the benefits of NumPy array and then we will look at some complicated matrix operations, such as products, inverses, determinants, and solving linear systems.

Then we will cover Matplotlib. In this section, we will go over some common plots, namely the line chart, scatter plot, and histogram. We will also look at how to show images using Matplotlib.

Next, we will talk about Pandas. We will look at how much easier it is to load a dataset using Pandas versus trying to do it manually. Then we will look at some data frame operations useful in machine learning, such as filtering by column, filtering by row, and the apply function.

Later, you will learn about SciPy. In this section, you will learn how to do common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing.

Finally, we will also cover some basics of machine learning that will help us start our deep learning journey.

By the end of the course, we will be able to confidently use the NumPy stack in deep learning and data science.</p>
        <h2>What You Will Learn</h2><p>Understand supervised machine learning with real-world examples<br>Understand and code using the NumPy stack<br>Make use of NumPy, SciPy, Matplotlib, and Pandas to implement numerical algorithms<br>Understand the pros and cons of various machine learning models<br>Get a brief introduction to the classification and regression<br>Learn how to calculate the PDF and CDF under the normal distribution</p>
        <h2>Audience</h2><p>This course is designed for anyone who is interested in data science and machine learning, who knows Python and wants to take the next step into Python libraries for data science, or who is interested in acquiring tools to implement machine learning algorithms.<br><br>One must have decent Python programming skills and a basic understanding of linear algebra and probability for this course.</p>
        <h2>Approach</h2><p>You will learn how to use NumPy, Matplotlib, Pandas, and SciPy to carry out crucial data science and machine learning tasks in this self-paced course. The course is well-balanced with both theoretical and practical coding exercises. Each section, we first cover the theory concept and demonstrate it using a real-world example for better understanding.</p>
        <h2>Key Features</h2><p>Study basics of machine learning and understand how to use the NumPy stack for deep learning in data science * Learn how to use NumPy, Matplotlib, Pandas, and SciPy for critical tasks in data science and machine learning * Perform numerical computations, visualize data, load, and manipulate datasets using Pandas</p>
        
        <h2>About the Author</h2><h3>Lazy Programmer</h3><p>The Lazy Programmer is an AI/ML engineer focusing on deep learning with experience in data science, big data engineering, and full-stack development. With a background in computer engineering and specialization in ML, he holds two master's degrees in computer engineering and statistics with finance applications. His online advertising and digital media expertise include data science and big data.

He has created DL models for prediction and has experience in recommender systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He is a web programmer with experience in Python, Ruby/Rails, PHP, and Angular.</p>
        <h2>Course Outline</h2><h4>1. Welcome and Logistics</h4><p>Welcome to the course! In this section, we will get introduced to the course goals.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Outline</p><p style='margin: 0'>In this video, we will get introduced to the course and understand the learning objective.</p></td></tr></tbody></table><br><h4>2. NumPy</h4><p>In this section of the course, we will dive into the world of NumPy, a powerful numerical computing library in Python that is widely used in data science and machine learning.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. NumPy Section Introduction</p><p style='margin: 0'>In this video, we will have a quick overview of NumPy.</p></td></tr><tr><td style='padding: 15px;'><p>2. Arrays Versus Lists</p><p style='margin: 0'>In this video, we will be comparing NumPy array to Python list.</p></td></tr><tr><td style='padding: 15px;'><p>3. Dot Product</p><p style='margin: 0'>In this video, we will discuss Dot Product in NumPy.</p></td></tr><tr><td style='padding: 15px;'><p>4. Speed Test</p><p style='margin: 0'>In this video, we will do a speed test to measure how much faster NumPy is than regular Python list in terms of the dot product.</p></td></tr><tr><td style='padding: 15px;'><p>5. Matrices</p><p style='margin: 0'>In this video, you will learn about matrices.</p></td></tr><tr><td style='padding: 15px;'><p>6. Solving Linear Systems</p><p style='margin: 0'>In this video, we will work on solving an example problem to understand linear systems.</p></td></tr><tr><td style='padding: 15px;'><p>7. Generating Data</p><p style='margin: 0'>In this video, we will discuss about generatingabout how to generate data.</p></td></tr><tr><td style='padding: 15px;'><p>8. NumPy Exercise</p><p style='margin: 0'>In this video, we will look at the NumPy exercise that must be resolved on our own.</p></td></tr><tr><td style='padding: 15px;'><p>9. Where to Learn More NumPy</p><p style='margin: 0'>In this video, we will understand why we need NumPy and how it is applied in more advanced scenarios.</p></td></tr></tbody></table><br><h4>3. Matplotlib</h4><p>In this section, we will talk about Matplotlib.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Matplotlib Section Introduction</p><p style='margin: 0'>In this video, we will have a quick overview of Matplotlib that is used to visualize data and see what we are going to cover in this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Line Chart</p><p style='margin: 0'>In this video, you will learn about a line chart.</p></td></tr><tr><td style='padding: 15px;'><p>3. Scatterplot</p><p style='margin: 0'>In this video, you will learn about a scatterplot.</p></td></tr><tr><td style='padding: 15px;'><p>4. Histogram</p><p style='margin: 0'>In this video, you will learn about a histogram.</p></td></tr><tr><td style='padding: 15px;'><p>5. Plotting Images</p><p style='margin: 0'>In this video, you will learn how to plot images.</p></td></tr><tr><td style='padding: 15px;'><p>6. Matplotlib Exercise</p><p style='margin: 0'>In this video, we will have a look at the Matplotlib exercise that needs to be resolved on our own.</p></td></tr><tr><td style='padding: 15px;'><p>7. Where to Learn More Matplotlib</p><p style='margin: 0'>In this video, we will understand from where we can learn more about Matplotlib.</p></td></tr></tbody></table><br><h4>4. Pandas</h4><p>In this section, we will talk about Pandas.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Pandas Section Introduction</p><p style='margin: 0'>In this video, we will be introduced to Pandas and understand this section''s learning objective.</p></td></tr><tr><td style='padding: 15px;'><p>2. Loading in Data</p><p style='margin: 0'>In this video, you will learn how to load in data using Pandas.</p></td></tr><tr><td style='padding: 15px;'><p>3. Selecting Rows and Columns</p><p style='margin: 0'>In this video, you will learn how to select rows and columns from a data frame.</p></td></tr><tr><td style='padding: 15px;'><p>4. The apply() Function</p><p style='margin: 0'>In this video, you will learn about the apply() function.</p></td></tr><tr><td style='padding: 15px;'><p>5. Plotting with Pandas</p><p style='margin: 0'>In this video, you will learn how to plot with Pandas.</p></td></tr><tr><td style='padding: 15px;'><p>6. Pandas Exercise</p><p style='margin: 0'>In this video, we will have a look at the Pandas exercise that needs to be resolved on our own.</p></td></tr><tr><td style='padding: 15px;'><p>7. Where to Learn More Pandas</p><p style='margin: 0'>In this video, we will understand from where we can learn more about Pandas.</p></td></tr></tbody></table><br><h4>5. SciPy</h4><p>In this section, we will talk about SciPy.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. SciPy Section Introduction</p><p style='margin: 0'>In this video, we will be introduced to SciPy and understand this section''s learning objective.</p></td></tr><tr><td style='padding: 15px;'><p>2. PDF and CDF</p><p style='margin: 0'>In this video, you will learn how to calculate PDF and CDF under normal distribution.</p></td></tr><tr><td style='padding: 15px;'><p>3. Convolution</p><p style='margin: 0'>In this video, you will learn how to apply convolution to an image to create a blurring filter.</p></td></tr><tr><td style='padding: 15px;'><p>4. SciPy Exercise</p><p style='margin: 0'>In this video, we will have a look at the SciPy exercise that needs to be resolved on our own.</p></td></tr><tr><td style='padding: 15px;'><p>5. Where to Learn More SciPy</p><p style='margin: 0'>In this video, we will summarize what we have learnt about SciPy and understand where it can be applied.</p></td></tr></tbody></table><br><h4>6. Machine Learning Basics</h4><p>In this section, we will cover machine learning basics.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Machine Learning: Section Introduction</p><p style='margin: 0'>In this video, we will understand what machine learning is and the learning objective of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is Classification?</p><p style='margin: 0'>In this video, we will understand classification.</p></td></tr><tr><td style='padding: 15px;'><p>3. Classification in Code</p><p style='margin: 0'>In this video, we will practice all that we have learnt in the previous video about classification.</p></td></tr><tr><td style='padding: 15px;'><p>4. What Is Regression?</p><p style='margin: 0'>In this video, we will understand what regression is.</p></td></tr><tr><td style='padding: 15px;'><p>5. Regression in Code</p><p style='margin: 0'>In this video, we will practice all that we have learnt in the previous video about regression.</p></td></tr><tr><td style='padding: 15px;'><p>6. What Is a Feature Vector?</p><p style='margin: 0'>In this video, you will learn about a feature vector.</p></td></tr><tr><td style='padding: 15px;'><p>7. Machine Learning Is Nothing but Geometry.</p><p style='margin: 0'>In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression.</p></td></tr><tr><td style='padding: 15px;'><p>8. All Data Is the Same</p><p style='margin: 0'>In this video, we will understand how all data is the same as all machine learning interfaces are the same.</p></td></tr><tr><td style='padding: 15px;'><p>9. Comparing Different Machine Learning Models</p><p style='margin: 0'>In this video, we will understand how all machine learning interfaces are the same.</p></td></tr><tr><td style='padding: 15px;'><p>10. Machine Learning and Deep Learning: Future Topics</p><p style='margin: 0'>In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning.</p></td></tr><tr><td style='padding: 15px;'><p>11. Machine Learning: Section Summary</p><p style='margin: 0'>In this video, we will summarize our learning from this section.</p></td></tr></tbody></table>

Data Science

Pandas

Deep Learning

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python

<strong>Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB</strong>
        <p>With a rise in the demand for database administrators, there is already a serious shortage of hirable talent. Simply put, there's a massive opportunity for you to get equipped with the right skillset so that you can join talent-hungry large fintech companies or startups and be at the forefront of global innovation. You can even launch unique businesses or application development services for the next generation or enjoy plush paying cool projects powered by DynamoDB database. Whatever your choice may be, AWS DynamoDB will be your key to financial success and the growth of the community as a whole! 
Why AWS DynamoDB? 
Over the years, NoSQL databases have gained high popularity. DynamoDB is a trending NoSQL database that can be used for a variety of application workloads. Be it a web application, a backend application, or a mobile application, DynamoDB can offload all your administrative work, as it is completely managed by AWS. Most companies use DynamoDB to power their products at scale, and a huge number of AWS customers use it for mobile, web, gaming, ad tech, IoT, and many other applications that require a low-latency data access. Furthermore, big companies like Netflix, Expedia, Comcast, and Redfin use DynamoDB as their NoSQL database storage. Now you know why it's important to learn DynamoDB! 
What sets us apart? 
This AWS DynamoDB course does not assume any expertise in databases. We give you step-by-step instructions, handholding you through all the exercises, so you can follow along and understand exactly how DynamoDB and NoSQL databases come together. 
&bull;	Practical demo tutorials: Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding of not only what you're doing, but also why you're doing it. This course focuses on building your understanding of the inner working of DynamoDB. 
&bull;	Real-world knowledge: This course is designed to pass on our experience of working with real startups and projects, along with insights into the problems that engineers and architects face. Each module is comprised of in-depth demos and walkthroughs to help you develop the skills to build your own application powered by DynamoDB. Practice truly does make perfect. 
All the code and supporting files for this course are available at -https://github.com/PacktPublishing/Managed-NoSQL-Database-In-The-Cloud---Amazon-AWS-DynamoDB</p>
        <h2>What You Will Learn</h2><p>Learn DynamoDB concepts and their real-time uses <br>Create DynamoDB tables and indexes <br>Implement disaster recovery using global tables <br>Secure data using encryption at rest <br>Know how to use DynamoDB APIs in Python programming language</p>
        <h2>Audience</h2><p>This course is for AWS developers and admins who want to master DynamoDB or build apps with DynamoDB as backend. Architects looking to integrate DynamoDB and other AWS services will also find this course useful</p>
        <h2>Approach</h2><p>This course includes practical demo tutorials and takes you through the exercises in a step-by-step manner to help to understand the significance of each step and how DynamoDB and NoSQL databases come together.</p>
        <h2>Key Features</h2><p>Learn with the help of demo tutorials  * Become an expert in AWS DynamoDB with this step-by-step tutorial</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/managed-nosql-database-in-the-cloud---amazon-aws-dynamodb</p>
        <h2>About the Author</h2><h3>Manuj Aggarwal</h3><p>Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more.

Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans.

He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Introduction: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Overview</p><p style='margin: 0'>Introduction: Course Overview</p></td></tr><tr><td style='padding: 15px;'><p>3. What Are You Going To Learn</p><p style='margin: 0'>Introduction: What Are You Going To Learn</p></td></tr><tr><td style='padding: 15px;'><p>4. Unique Features</p><p style='margin: 0'>Introduction: Unique Features</p></td></tr><tr><td style='padding: 15px;'><p>5. Who Uses This</p><p style='margin: 0'>Introduction: Who Uses This</p></td></tr><tr><td style='padding: 15px;'><p>6. Download Resources</p><p style='margin: 0'>Introduction: Download Resources</p></td></tr><tr><td style='padding: 15px;'><p>7. Recap</p><p style='margin: 0'>Introduction: Recap</p></td></tr></tbody></table><br><h4>2. Environment Setup DynamoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DynamoDB Console Walkthrough And CLI Setup</p><p style='margin: 0'>Environment Setup DynamoDB: DynamoDB Console Walkthrough And CLI Setup</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Environment Setup DynamoDB: Installing Python</p></td></tr></tbody></table><br><h4>3. Creating Tables, Indexes and Partitions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating Tables</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Creating Tables</p></td></tr><tr><td style='padding: 15px;'><p>2. Insert Data using Python Script</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Insert Data using Python Script</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Representation in JSON</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Data Representation in JSON</p></td></tr><tr><td style='padding: 15px;'><p>4. Create GSI using AWS Console</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create GSI using AWS Console</p></td></tr><tr><td style='padding: 15px;'><p>5. Create LSI using AWS CLI</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create LSI using AWS CLI</p></td></tr><tr><td style='padding: 15px;'><p>6. Create GSI using AWS CLI</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create GSI using AWS CLI</p></td></tr></tbody></table><br><h4>4. Develop in DynamoDB using APIs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Using Administrative APIs in DynamoDB</p><p style='margin: 0'>Develop in DynamoDB using APIs: Using Administrative APIs in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Program to use APIs</p><p style='margin: 0'>Develop in DynamoDB using APIs: Python Program to use APIs</p></td></tr><tr><td style='padding: 15px;'><p>3. DynamoDB Developer APIs Lab</p><p style='margin: 0'>Develop in DynamoDB using APIs: DynamoDB Developer APIs Lab</p></td></tr><tr><td style='padding: 15px;'><p>4. Use Project, Filter and Update Attributes in DynamoDB - 1</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 1</p></td></tr><tr><td style='padding: 15px;'><p>5. Use Project, Filter and Update Attributes in DynamoDB - 2</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 2</p></td></tr><tr><td style='padding: 15px;'><p>6. Use Project, Filter and Update Attributes in DynamoDB - 3</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 3</p></td></tr><tr><td style='padding: 15px;'><p>7. Scan A Table and Expire an Item</p><p style='margin: 0'>Develop in DynamoDB using APIs: Scan A Table and Expire an Item</p></td></tr></tbody></table><br><h4>5. Replication, Global Tables and Encryption</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Master-Slave & Master-Master Replications</p><p style='margin: 0'>Replication, Global Tables and Encryption: Master-Slave & Master-Master Replications</p></td></tr><tr><td style='padding: 15px;'><p>2. Create Global Tables in DynamoDB</p><p style='margin: 0'>Replication, Global Tables and Encryption: Create Global Tables in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>3. Encryption</p><p style='margin: 0'>Replication, Global Tables and Encryption: Encryption</p></td></tr></tbody></table><br><h4>6. Administration Resources in DynamoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DynamoDB Admin</p><p style='margin: 0'>Administration Resources in DynamoDB: DynamoDB Admin</p></td></tr><tr><td style='padding: 15px;'><p>2. Backup and Restore Tables in DynamoDB</p><p style='margin: 0'>Administration Resources in DynamoDB: Backup and Restore Tables in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>3. Reads from Application</p><p style='margin: 0'>Administration Resources in DynamoDB: Reads from Application</p></td></tr><tr><td style='padding: 15px;'><p>4. Capacity Units, Screening and Cloudwatch</p><p style='margin: 0'>Administration Resources in DynamoDB: Capacity Units, Screening and Cloudwatch</p></td></tr></tbody></table>

Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB

Managed NoSQL Database In The Cloud - Amazon AWS DynamoDB

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 17</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;in 1 "Geographic Information System (GIS) Diploma" Bundle ✿</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Geographic Information System (GIS) Diploma training offers :</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">17&nbsp;</strong>Free PDF Certificates</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">1</strong>&nbsp;Hard Copy Certificate</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free&nbsp;</strong>Assessment</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lifetime&nbsp;</strong>Access</li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)&nbsp;</strong>is a rapidly growing field, with a predicted&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">growth&nbsp;</strong>rate of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">10%</strong>&nbsp;over the next five years. There are a number of leading GIS companies in the UK offering a range of opportunities for career growth. So, if you are willing to start your journey in this rapidly growing sector, our Geographic Information System (GIS) Diploma will cover everything you need to know to get started.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)&nbsp;</strong>diploma provides a comprehensive introduction to one of the most critical tools in geographic data analysis and spatial information management.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Throughout the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)&nbsp;</strong>diploma, students will delve into various techniques and methodologies used to capture, store, manipulate, analyse, manage, and present spatial or geographic data. The curriculum is designed to provide a balanced mix of theoretical knowledge and applications, empowering students to effectively utilise GIS software and tools. By the end of the Geographic Information System (GIS) bundle, learners will have developed the competency to apply Geographic Information System (GIS) technology in various fields, including urban planning, environmental management, and resource allocation.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)&nbsp;</strong>diploma is tailored to cater to a diverse audience, from beginners to those with some prior knowledge of the subject. It addresses the growing demand for GIS professionals who can handle complex spatial data and provide insightful solutions to real-world problems.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By enrolling in this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)</strong>&nbsp;bundle, students will not only enhance their understanding of Geographic Information System (GIS) but also open up new career opportunities in an ever-evolving technological landscape.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Geographic Information System (GIS) Diploma Bundle Consists the Following Courses:</strong></p><ol style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">ArcGIS for Spatial Analysis</li><li fr-original-style="" style="box-sizing: border-box;">ArcGIS for Remote Sensing</li><li fr-original-style="" style="box-sizing: border-box;">Create Smart Maps in Python and Leaflet Level 3</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning for Predictive Maps in Python and Leaflet</li><li fr-original-style="" style="box-sizing: border-box;">Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li fr-original-style="" style="box-sizing: border-box;">Maps in R Shiny and Leaflet</li><li fr-original-style="" style="box-sizing: border-box;">The Basics of ArcGIS for Hydrology</li><li fr-original-style="" style="box-sizing: border-box;">Learn to Use Python for Spatial Analysis in ArcGIS</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Archaeology Course</li><li fr-original-style="" style="box-sizing: border-box;">Geology Course &ndash; Online &amp; CPD Accredited</li><li fr-original-style="" style="box-sizing: border-box;">CompTIA Network+ Certification</li><li fr-original-style="" style="box-sizing: border-box;">Learn Secure Programming for Web Applications</li><li fr-original-style="" style="box-sizing: border-box;">Ethical Hacking Masterclass</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Project Management Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Critical Thinking &amp; Problem Solving</li></ol><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Enrol now for a successful GIS career!</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcome of this Geographic Information System (GIS) Diploma:</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamental concepts and principles of Geographic Information System (GIS).</li><li fr-original-style="" style="box-sizing: border-box;">Apply Geographic Information System (GIS) techniques to analyse spatial data.</li><li fr-original-style="" style="box-sizing: border-box;">Utilise GIS software for mapping and data visualisation.</li><li fr-original-style="" style="box-sizing: border-box;">Create Smart Maps in Python and Leaflet.</li><li fr-original-style="" style="box-sizing: border-box;">Learn Python and Leaflet for Machine Learning for Predictive Maps.</li><li fr-original-style="" style="box-sizing: border-box;">Know Web Scraping and Dam Level Mapping.</li><li fr-original-style="" style="box-sizing: border-box;">Study programming in Python.</li><li fr-original-style="" style="box-sizing: border-box;">Acquire knowledge of secure programming for web applications.</li><li fr-original-style="" style="box-sizing: border-box;">Learn about project management, Microsoft SQL, and ethical hacking.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Here is the course curriculum for the primary Title Course in this bundle:</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">ArcGIS for Spatial Analysis</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Module 01: Point Density Analysis</li><li fr-original-style="" style="box-sizing: border-box;">Module 02: Raster Calculator and Vector Isolation</li><li fr-original-style="" style="box-sizing: border-box;">Module 03: Raster to Topography</li><li fr-original-style="" style="box-sizing: border-box;">Module 04: Raster Reclassification</li><li fr-original-style="" style="box-sizing: border-box;">Module 05: Raster Overlay</li><li fr-original-style="" style="box-sizing: border-box;">Module 06: Slope Analysis and Hydrology tools</li><li fr-original-style="" style="box-sizing: border-box;">Module 07: Introduction to TIFF Files</li><li fr-original-style="" style="box-sizing: border-box;">Module 08: Introduction to 3D Surfaces</li><li fr-original-style="" style="box-sizing: border-box;">Module 09: Satellite Images and TIN Surfaces</li><li fr-original-style="" style="box-sizing: border-box;">Module 10: Exercise</li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 16 more Courses----------</strong></p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)&nbsp;</strong>training is open to everyone. Specially for-</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in geographic data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Urban planners and environmental managers</li><li fr-original-style="" style="box-sizing: border-box;">Professionals in logistics and transportation</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing geography or related fields</li><li fr-original-style="" style="box-sizing: border-box;">Data analysts seeking to specialise in GIS</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock diverse career opportunities with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Geographic Information System (GIS)</strong>&nbsp;bundle. Explore these lucrative paths:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">GIS Analyst: &pound;25,000 - &pound;35,000</li><li fr-original-style="" style="box-sizing: border-box;">Urban Planner: &pound;30,000 - &pound;45,000</li><li fr-original-style="" style="box-sizing: border-box;">Environmental Consultant: &pound;28,000 - &pound;40,000</li><li fr-original-style="" style="box-sizing: border-box;">Cartographer: &pound;22,000 - &pound;35,000</li><li fr-original-style="" style="box-sizing: border-box;">Geospatial Data Scientist: &pound;40,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Remote Sensing Analyst: &pound;30,000 - &pound;50,000</li></ul></section></div>

Skill Up

Best Saving Deal | 17-in-1 Premium Bundle | 170 CPD Points | Free PDF & transcript Certificates | Lifetime Access


Geographic Information System (GIS) Diploma - CPD Accredited


<p><strong>Trade like a pro and make your money work for you!</strong></p><p>The UK is the <strong>5th-largest market</strong> for stock trading in the world. Stock trading is a popular profession in the UK due to its potential to generate significant returns. So, if you are interested in this sector, Our <strong>Stock Trading</strong> course can offer you the knowledge and abilities you need to be competitive in the stock market.</p><p>In addition to covering more complex topics like <strong>trading tactics, financial analysis, and risk management</strong>, this course offers an introduction to the fundamentals of investing. Additionally, you'll discover how to use trading systems and decipher market data.</p><p>Are you ready to embark on an exciting journey into the world of stock trading and investing? Welcome to our Stock Trading Master Bundle-an immersive learning experience designed to equip you with the knowledge, strategies, and skills needed to thrive in the financial markets.</p><p><strong>Why This Bundle Matters:</strong></p><p>In an era of financial opportunities and market volatility, acquiring a deep understanding of stock trading is more vital than ever. This comprehensive bundle is your passport to mastering the art and science of trading and investing, backed by a wealth of expert knowledge.</p><p><strong>Courses Included in this Stock Trading Bundle</strong></p><ul><li>Course 1: Stock Trading</li><li>Course 2: Stock Trading &amp; Investing</li><li>Course 3: Stock Trading Analysis with Volume Trading</li><li>Course 4: Cryptocurrency/Forex/Stock Market Trading with Elliot waves</li><li>Course 5: Day Trade Stocks with Price Action and Tape Reading Strategy</li><li>Course 6: Stock Market Chart Patterns for Day Trading</li><li>Course 7: Penny Stock Day Trading Pattern for Consistent Profits</li><li>Course 8: Trading and Financing: Candlestick Pattern</li><li>Course 9: Reverse Candlestick Trading-Forex/Stock Trading</li><li>Course 10: Certificate in Stock Management and Analytics</li><li>Course 11: Hands on Deep Learning Projects - Stock price Prognostics</li><li>Course 12: Technical Analysis Masterclass for Trading &amp; Investing</li><li>Course 13: Day Trading &amp; Scalping Strategies</li><li>Course 14: Trading Psychology: 5 Bad Habits of Losing Traders &amp; Solutions</li><li>Course 15: Complete Swing Trading Training</li><li>Course 16: Technical Analysis: Trading Strategies with MACD</li><li>Course 17: Making Automated Trading Bot Using Python</li><li>Course 18: Anti-Money Laundering (AML) Training</li></ul><p><strong>Learning Outcomes of this Stock Trading Bundle</strong></p><ul><li>Gain knowledge of the stock market and the many stock types that can be traded.</li><li>Acquire knowledge of financial statement analysis and how to spot prospective opportunities.</li><li>Recognise the many kinds of trading techniques and create a strategy.</li><li>Learn to monitor the stock market and spot prospective stock trading opportunities.</li><li>Obtain knowledge about how to recognise and control stock trading risks.</li><li>Have a fundamental understanding of chart patterns and technical analysis.</li><li>Develop the skills and abilities required to develop and sustain a successful trading strategy.</li><li>Improve your ability to comprehend and analyse market news and data.</li><li>Understand the key concepts, terminologies, and mechanics of the stock market</li><li>Analyse stock movements, identify trends, and make informed trading decisions,</li><li>Use a variety of technical indicators, patterns, and charts.</li><li>Use effective risk management techniques to safeguard your capital, reduce losses, and</li><li>manage potential market fluctuations.</li><li>Develop a thorough understanding of money laundering and its various stages.</li><li>Conduct comprehensive risk assessments and due diligence.</li></ul><p><strong>Why Choose This Bundle:</strong></p><p>This bundle is your all-inclusive solution to becoming a savvy trader and investor. It offers:</p><ul><li><p><strong>Expert Guidance:</strong> Benefit from the insights of industry experts and seasoned traders across diverse courses.</p></li><li><p><strong>Practical Application:</strong> Gain hands-on experience through real-world projects, trading simulations, and interactive exercises.</p></li><li><p><strong>Comprehensive Knowledge:</strong> Cover a wide range of trading styles, tools, and strategies, from day trading to long-term investing.</p></li><li><p><strong>Career Enhancement:</strong> Elevate your career prospects by acquiring valuable skills in financial markets.</p></li></ul><p>Embrace the challenge, seize the opportunities, and embark on a transformative journey toward financial empowerment. Enroll today in the "Stock Trading Master Bundle" and pave the way to financial success.</p><p><strong>Why People Love And Enrol in this Stock Trading Bundle From One Education</strong></p><ul><li>Eligibility for CPD-accredited certificates for each of the courses under this Bundle</li><li>Engaging video lessons</li><li>Full Tutor support on weekdays (Monday - Friday)</li><li>The privilege of studying this bundle courses at your own pace</li><li>Complete 24/7 access to the courses of Stock Trading bundle for 1 year</li><li>Efficient exam system, assessment and instant results</li><li>Exam charges</li><li>All the courses under the bundle are designed to provide useful information and teach practical skills</li></ul><p><strong>Course 1: Stock Trading</strong></p><p>This introductory course provides a foundational understanding of stock trading. Explore the basics of buying, selling, and trading stocks on various exchanges. Learn about key concepts such as market orders, limit orders, and order execution. Gain insights into different types of stocks and their valuation methods, empowering you to start your journey in the world of stock trading.</p><p><strong>Course 2: Stock Trading &amp; Investing</strong><strong><br /></strong>Embark on a comprehensive journey into the dynamic world of stock trading and investing. In this course, you'll learn how to decipher market trends, analyse financial statements, and make informed investment choices. Explore various strategies to manage risk and optimise your returns within the stock market. Whether you're a beginner or an experienced trader, this course equips you with the knowledge and tools to navigate the complexities of the stock market with confidence.</p><p><strong>Course 3. Stock Trading Analysis with Volume Trading</strong><strong><br /></strong>Delve into the fascinating realm of volume trading analysis and unlock a deeper understanding of market behaviour. This course guides you through the art of interpreting trading volume to gauge market sentiment, identify trends, and anticipate potential price movements. Through real-world examples and practical exercises, you'll master the skill of integrating volume analysis into your trading strategies for enhanced accuracy and success.</p><p><strong>Course 4. Cryptocurrency/Forex/Stock Market Trading with Elliot Waves</strong><strong><br /></strong>Unveil the secrets of the Elliott Wave Theory and harness its power across diverse financial markets. This course offers a comprehensive exploration of how to apply Elliott Waves to cryptocurrency, forex, and stock trading. Learn to recognize wave patterns, forecast market trends, and make well-informed trading decisions. By the end of the course, you'll possess a valuable skill set for navigating the complexities of different markets using Elliott Waves.</p><p><strong>Course 5. Day Trade Stocks with Price Action and Tape Reading Strategy</strong><strong><br /></strong>Immerse yourself in the exciting world of day trading with a focus on price action and tape reading strategies. This course empowers you to decode price movements, analyse real-time market orders, and execute successful day trades. Through in-depth tutorials and hands-on exercises, you'll develop the expertise to make precise trading decisions based on price charts and live market data.</p><p><strong>Course 6. Stock Market Chart Patterns for Day Trading</strong><strong><br /></strong>Elevate your day trading game by mastering the art of recognizing and capitalising on stock market chart patterns. This course provides comprehensive insights into various patterns, such as triangles, head and shoulders, and flags. You'll learn how to identify potential breakout and reversal opportunities, enabling you to make more informed and profitable day trading decisions.</p><p><strong>Course 7. Penny Stock Day Trading Pattern for Consistent Profits</strong><strong><br /></strong>Discover a specialised approach to day trading with penny stocks and unlock a pattern-driven strategy for consistent profits. Throughout this course, you'll gain a deep understanding of the unique behaviours exhibited by penny stocks. Learn how to navigate risks, identify favourable trading conditions, and apply specialised techniques to capitalise on opportunities within the realm of penny stock day trading.</p><p><strong>Course 8. Trading and Financing: Candlestick Pattern</strong><strong><br /></strong>This course delves into the significance of different candlestick formations, offering insights into market trends and potential reversals. You'll acquire the skills to incorporate candlestick analysis into your trading and financial strategies, enhancing your ability to make informed decisions.</p><p><strong>Course 9. Reverse Candlestick Trading-Forex/Stock Trading</strong><strong><br /></strong>Revolutionise your trading approach with reverse candlestick strategies, designed to identify trend reversals in both forex and stock trading. This course empowers you to decode bearish and bullish reversal patterns, enabling you to anticipate market shifts and make timely trading decisions. By the end of the course, you'll have a refined skillset for navigating the complexities of reverse candlestick trading.</p><p><strong>Course 10. Certificate in Stock Management and Analytics</strong><strong><br /></strong>This comprehensive program covers portfolio optimization, risk assessment, and data-driven decision-making. You'll learn to analyse stock performance, evaluate market trends, and construct investment portfolios that align with your financial goals.</p><p><strong>Course 11. Hands on Deep Learning Projects - Stock price Prognostics</strong><strong><br /></strong>Immerse yourself in the world of hands-on deep learning projects tailored for stock price prognostics. Through practical exercises and real-world scenarios, you'll learn to build predictive models using historical data. By the end of the course, you'll possess the skills to leverage advanced machine learning techniques for accurate stock price predictions.</p><p><strong>Course 12. Technical Analysis Masterclass for Trading &amp; Investing</strong><strong><br /></strong>Elevate your trading and investing acumen with this comprehensive technical analysis masterclass. Explore a wide array of technical indicators, chart patterns, and trend analysis methodologies. Through immersive learning, you'll gain the expertise to integrate technical insights into your trading and investment strategies.</p><p><strong>Course 13. Day Trading &amp; Scalping Strategies</strong><strong><br /></strong>Dive into the art of day trading and scalping with an emphasis on effective strategies. This course equips you with an arsenal of intraday trading techniques, including scalping tactics. Learn to navigate high-speed trading environments, execute precise trades, and manage risk to maximise your trading success.</p><p><strong>Course 14. Trading Psychology: 5 Bad Habits of Losing Traders &amp; Solutions</strong><strong><br /></strong>Explore the psychological aspects of trading and discover strategies to overcome common pitfalls. Delve into the five bad habits that often lead to trading losses and gain insights into solutions to cultivate a disciplined mindset and enhance your trading performance.</p><p><strong>Course 15. Complete Swing Trading Training</strong><strong><br /></strong>Embark on a comprehensive journey into the world of swing trading. This training covers strategy development, risk management, and market analysis tailored specifically for swing trading. By the end of the course, you'll be equipped with the skills to identify and capitalise on swing trading opportunities while effectively managing risk.</p><p><strong>Course 16. Technical Analysis: Trading Strategies with MACD</strong><strong><br /></strong>Unleash the power of the Moving Average Convergence Divergence (MACD) indicator in your trading endeavours. This course provides an in-depth exploration of MACD signals and their integration into various trading strategies. You'll learn how to leverage MACD to make informed trading decisions across diverse markets.</p><p><strong>Course 17. Making Automated Trading Bot Using Python</strong><strong><br /></strong>Learn to create your own automated trading bot using the Python programming language. Through practical tutorials, you'll gain a deep understanding of algorithmic trading principles, data analysis, and API integration. By the end of the course, you'll have a fully functional trading bot capable of executing trades autonomously.</p><p><strong>Course 18. Anti-Money Laundering (AML) Training</strong><strong><br /></strong>Acquire essential knowledge of anti-money laundering regulations and practices within the trading and investment sphere. This course equips you with the skills to detect and prevent money laundering activities, ensuring compliance with legal requirements and safeguarding the integrity of financial markets.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p><strong>This Bundle is ideal for</strong></p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Anyone interested in Stock Trading</li><li>People already working in the relevant fields of Stock Trading and want to polish their knowledge and skill.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for this course, with enrollment open to anyone!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>People in the Stock trading sector tend to pursue their careers in the following fields</p><ul><li>Financial Analyst</li><li>Day Trader</li><li>Stock Broker</li><li>Investment Banker</li><li>Quantitative Analyst</li></ul><p>The salary range for Stock Trading in the UK is typically between £25,000 and £100,000 per annum. Salaries vary depending on qualifications, experience and location.</p>
                        </div>

One Education

Stock Trading Diploma Course

<div fr-original-style="" style="box-sizing: border-box;">
<h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Overview</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In an era where digital transformation is at its peak, coding has become an essential skill, with over&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">26 million</strong>&nbsp;software developers worldwide and the number expected to grow to&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">28.7 million by 2024</strong>. Also, coding is the backbone of the modern digital world, powering everything from smartphones to the internet itself? These facts underscore the tremendous demand for skilled programmers and IT professionals across industries.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With our exclusive coding&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">20-courses</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">bundle&nbsp;</strong>covering C++, Python, JavaScript, and IT fundamentals, you&#39;re on the path to becoming part of this in-demand workforce.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This Coding (C++, Python, JavaScript &amp; IT) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you&#39;re looking to break into a new field or deepen your existing knowledge, the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;Coding&nbsp;</strong>package has something for everyone.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of the Coding (C++, Python, JavaScript &amp; IT) package, you will receive complimentary PDF certificates for all courses in&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Coding</strong>&nbsp;bundle at no extra cost. Equip yourself with the Coding bundle to confidently navigate your career path or personal development journey. Enroll in our Coding bundle today and start growing your career!</p></div><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Coding&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Bundle Comprises the Following CPD Accredited Courses:</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:&nbsp;</strong>Introduction to Coding With HTML, CSS, &amp; Javascript</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:&nbsp;</strong>C++ Development: The Complete Coding Guide</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:&nbsp;</strong>C# Programming - Beginner to Advanced</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:&nbsp;</strong>Python Programming: Beginner To Expert</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:&nbsp;</strong>The Complete MySQL Server from Scratch: Bootcamp</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:&nbsp;</strong>Kotlin Programming: Android Coding Bible</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:&nbsp;</strong>Learn Web Development from Scratch</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:&nbsp;</strong>The Complete Front-End Web Development Course!</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09:&nbsp;</strong>Secure Programming of Web Applications</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10:&nbsp;</strong>JavaScript Project - Game Development with JS</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 11:&nbsp;</strong>Bash Scripting, Linux and Shell Programming</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 12:&nbsp;</strong>Advanced Diploma in PHP Web Development with MySQL, GitHub &amp; Heroku</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 13:&nbsp;</strong>Data Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 14:&nbsp;</strong>R Programming for Data Science</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 15:&nbsp;</strong>Learn Ethical Hacking From A-Z: Beginner To Expert</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 16:&nbsp;</strong>Cyber Security Awareness Training</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 17:&nbsp;</strong>Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 18:&nbsp;</strong>CompTIA A+ (220-1001)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 19:&nbsp;</strong>Computer Networks Security from Scratch to Advanced</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 20:&nbsp;</strong>Microsoft Excel Complete Course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><table fr-original-style="" style="border: none; border-collapse: collapse; empty-cells: show; max-width: 100%; box-sizing: border-box;"><tbody fr-original-style="" style="box-sizing: border-box;"><tr fr-original-style="" style="box-sizing: border-box;"><td colspan="4" fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><br fr-original-style="" style="box-sizing: border-box;"></td></tr></tbody></table><br fr-original-style="" style="box-sizing: border-box;"></div><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What will make you stand out?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Here&#39;s how this comprehensive bundle sets you apart:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">High Demand Skills</strong>: Dive into programming languages and IT skills that are in high demand across various sectors.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">From Zero to Hero</strong>: Whether you&#39;re a beginner or looking to upgrade your skills, this coding bundle caters to all levels.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Expert-Led Training</strong>: Benefit from courses designed and taught by seasoned professionals with real industry experience.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lifetime Access</strong>: Learn at your own pace with lifetime access to all course materials.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Tutor Support</strong>: Gain access to supportive tutor professionals for guidance.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Versatile Skill Set</strong>: Master the versatility of C++, the simplicity of Python, and the interactivity of JavaScript.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certification of Completion</strong>: Enhance your resume with certifications that showcase your skills.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Future-Proof Your Career</strong>: Stay ahead in your career with up-to-date content on the latest technological advancements.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Risk-Free Learning</strong>: A 14-day money-back guarantee ensures that you can start learning risk-free.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Certificates</h2><h4 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Certificate Of Completion</h4><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Digital certificate - Included</p><h4 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Certificate Of Completion</h4><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hard copy certificate - Included</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You will get a complimentary Hard Copy Certificate.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);"><br fr-original-style="" style="box-sizing: border-box;"></h2></section>

</div>

NextGen Learning

Coding (C++, Python, JavaScript & IT) 20 Courses Bundle

Data Visualization

Tableau

Data Analysis

This course explains how huge chunks of data can be analyzed and visualized using the power of the data analyst toolbox. You will learn Python programming, advanced pivot tables' concepts, the magic of Power BI, perform analysis with Alteryx, master Qlik Sense, R Programming using R and R Studio, and create stunning visualizations in Tableau Desktop.

Data Analysts' Toolbox - Excel, Python, Power BI, Alteryx, Qlik Sense, R, Tableau

<h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Overview</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 22-in-1 "Data Science Engineering: Data Analytics &amp; Database Management with MySQL" QLS Endorsed Diploma ✿</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK</strong>,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;jobs are in high demand across sectors like finance, healthcare, and technology. Entry-level data scientists typically earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;25,000 to &pound;35,000</strong>&nbsp;annually, while experienced professionals can earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;60,000 to &pound;100,000</strong>&nbsp;or more. Roles often require skills in programming (Python, R), machine learning, and data visualization.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Step into the transformative world of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, where innovation meets data. This exclusive bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>," is specially designed for learners keen on mastering the art of data analysis and database management. By immersing yourself in the complexities of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, you will gain the ability to handle vast datasets, extract meaningful insights, and effectively manage databases using MySQL.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;is the backbone of modern decision-making processes, driving business strategies and technological advancements. Through this bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL"</strong>, you will explore key concepts and methodologies that form the foundation of Data Science. From understanding data structures to performing complex data analyses and managing databases, every module is crafted to provide a thorough understanding and knowledge of Data Science principles.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle focuses on&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, ensuring you are prepared to meet the growing demand for data-savvy professionals. Whether you&#39;re aiming to advance your career or pivot to a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL&nbsp;</strong>bundle offers a pathway to success in the dynamic world of Data Science.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Data Science Engineering: Data Analytics &amp; Database Management with MySQL Bundle Consists the Following Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><a href="https://www.skill-up.org/course/data-engineering-google-bigquery-google-cloud/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Data Engineering : Google Big Query &amp; Google Cloud</a></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with Python<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Basics<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">PowerBI Formulas</li><li fr-original-style="" style="box-sizing: border-box;">Getting Results with Power BI</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">Java script for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">The Complete Python Course: Beginner to Advanced!</li><li fr-original-style="" style="box-sizing: border-box;">Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW - Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Science Engineering: Data Analytics &amp; Database Management Bundle</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Develop a deep understanding of fundamental Data Science &amp; Big Query concepts.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in data analysis techniques using MySQL Database.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design and manage efficient databases.</li><li fr-original-style="" style="box-sizing: border-box;">Apply statistical methods to interpret complex datasets.</li><li fr-original-style="" style="box-sizing: border-box;">Master data visualisation tools to present insights effectively.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the role of Data Science in business and technology sectors.</li><li fr-original-style="" style="box-sizing: border-box;">Build a solid foundation for advanced Data Science studies.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" id="isPasted"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hardcopy Certificate</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Hard copy certificate - &pound;129</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For any&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed</strong>&nbsp;courses included in the bundle, the Level wise Certificate prices are - (Should be Purchased Separately)</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Level 1 - &pound;39</li><li fr-original-style="" style="box-sizing: border-box;">Level 2 - &pound;69</li><li fr-original-style="" style="box-sizing: border-box;">Level 3 - &pound;79</li><li fr-original-style="" style="box-sizing: border-box;">Level 4 - &pound;89</li><li fr-original-style="" style="box-sizing: border-box;">Level 5 - &pound;109</li><li fr-original-style="" style="box-sizing: border-box;">Level 6 - &pound;119</li><li fr-original-style="" style="box-sizing: border-box;">Level 7 - &pound;129</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">However, Certificate delivery is&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free&nbsp;</strong>for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK&nbsp;</strong>residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as a delivery charge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Note: Skill-up is a Janets-approved resale partner for Quality Licence Scheme Endorsed courses.</strong></p><h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Description</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>" bundle is designed to provide a comprehensive introduction to Data Science. Focusing on data analysis and database management, this bundle covers key concepts, tools, and techniques essential for managing and analysing data. Learners will develop a strong foundation in Data Science, gaining skills that are in high demand across various industries. Additionally, students will learn to use MySQL to handle databases effectively, ensuring they can store, retrieve, and manipulate data efficiently. By the end of the bundle, participants will be well-equipped to tackle data-driven challenges and contribute significantly to their organisations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Here is the course curriculum for the primary Title Course in this bundle:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering : Google Big Query &amp; Google Cloud</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction</li><li fr-original-style="" style="box-sizing: border-box;">Introducing Data Warehouse &amp; Big Query</li><li fr-original-style="" style="box-sizing: border-box;">First Exploration</li><li fr-original-style="" style="box-sizing: border-box;">Data Flow Basic</li><li fr-original-style="" style="box-sizing: border-box;">Diving into Big Query</li><li fr-original-style="" style="box-sizing: border-box;">Virtual Data using View</li><li fr-original-style="" style="box-sizing: border-box;">Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate Query<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 21 more Courses----------</strong></p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle is open to everyone. Specially for-</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring Data Science Engineer, Scientists</li><li fr-original-style="" style="box-sizing: border-box;">Professionals transitioning to Data Science roles</li><li fr-original-style="" style="box-sizing: border-box;">Business analysts looking to enhance data analysis skills</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to expand their expertise</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing a career in Data Science</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock diverse career opportunities with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management (MySQL)</strong>&nbsp;bundle. Explore these lucrative paths:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Scientist: &pound;45,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator: &pound;37,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;30,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;35,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Marketing Analyst: &pound;28,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Research Analyst: &pound;27,000 per year</li></ul></section></div></div></div></div>

Data Engineering

Google Cloud

Database Management

Level-7 QLS Endorsed | 22-in-1 Diploma Bundle| Free CPD PDF+ Transcript Certificate| Lifetime Access| Learner Support


Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed

<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>

Programming

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

Python Programming

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			<h2><b>Course Overview</b></h2>		</div>
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					<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>
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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

Redhill

<h3><b>Complete Python training course description</b></h3>
        <p> Python is an agile, robust, expressive, fully objectoriented,
          extensible, and scalable programming
          language. It combines the power of compiled
          languages with the simplicity and rapid development of
          scripting languages. This course covers Python from
          the very basics of 'hello world!' through to object
          oriented programming and advanced topics such as
          multi threading. Hands on follows all the major sections
          in order to reinforce the theory.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Read Python programs.</li>
        <li>Write Python programs.</li>
        <li>Debug Python programs.</li>
        <li>Use Python's objects and memory model as well as
          its OOP features.</li>
        </ul>
        <h5>
        <b>Complete Python programming training course details</b></h5>
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						<ul>
							<li><b> Who will benefit:</b> </li>
							
               <p>Anyone wishing to learn Python. </p>
              
							<li><b>Prerequisites:</b></li>
							
             <p> None. </p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
             
              
						</ul>
					</div>
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       <h3><b>Complete Python programming training course contents</b></h3>
      <ul>
        <li>Welcome to Python: </li>
        <p> What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. </p>
        <li>Getting started: </li>
        <p> Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. </p>
        <li>Python basics: </li>
        <p> Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. </p>
        <li>Python Objects: </li>
        <p> Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. </p>
        <li>Numbers: </li>
        <p> Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. </p>
        <li>Sequences: strings, lists, and tuples: </li>
        <p> Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. </p>
        <li>Mapping and set types: </li>
        <p> Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. </p>
        <li>Conditionals and loops: </li>
        <p> If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. </p>
        <li>Files and input/output: </li>
        <p> File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. </p>
        <li>Errors and exceptions: </li>
        <p> What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. </p>
        <li>Functions: </li>
        <p> Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. </p>
        <li>Modules: </li>
        <p> Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. </p>
        <li>Object-Oriented Programming (OOP): </li>
        <p> Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. </p>
        <li>Execution environment: </li>
        <p> Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. </p>
        <li>Regular expressions: </li>
        <p> Special symbols and characters, REs and Python, Regular expressions example. </p>
        <li>Network programming: </li>
        <p> Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. </p>
        <li>Internet client programming: </li>
        <p> What are internet clients? Transferring files, Network news, E-mail. </p>
        <li>Multithreaded Programming: </li>
        <p> Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. </p>
        <li>GUI programming: </li>
        <p> Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. </p>
        <li>Web programming: </li>
        <p> Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. </p>
        <li>Database programming: </li>
        <p> Python database application programmer's interface (DB-API), ORMs. </p>
        <li>Miscellaneous </li>
        <p> Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

Complete Python programming

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

Learn Python programming by developing robust GUIs and games

Project-Based Python Programming For Kids and Beginners

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					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming  that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>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.</p></div>
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										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span>Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
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					<ul>
							<li>
											<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 people to transform their careers.</span>
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										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
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			<h2> <b>Requirements</b></h2>		</div>
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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 a computer or digital device with internet connectivity.</span>
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		</section>

Get ready for a comprehensive Python programming journey! Master the fundamentals, tackle advanced concepts, and build real-world projects. Join now!

Python Programming Complete Training

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Programmers, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Certified Python Programmers:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified Python Programmers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Python Programming, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Career Development

IT Certifications

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


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

Python Certification - IT Job Ready Program with Money Back Guarantee

<p>The world runs on zeros and ones, and Python is the key to unlocking their power. Whether you're a seasoned pro or just starting out, our Python Programming Bundle has everything you need to take your tech skills to the next level. With three QLS-endorsed courses and five CPD-QS accredited courses, this bundle is the ultimate resource for anyone looking to master Python programming and machine learning.</p><p>In the world of Python, there are no limits to what you can achieve. Our QLS-endorsed courses in Python Programming for Non Programmers Level 5, and Python Programming Bible | Networking, GUI, Email, XML, CGI cover everything from the basics of Python syntax to advanced topics like networking and web development. And upon completion of each course, you'll receive a hardcopy certificate endorsed by QLS, recognised globally as a mark of excellence in education and training.</p><p>But that's not all - our bundle also includes five CPD-QS accredited courses covering topics like Azure Machine Learning, Complete Python Machine Learning &amp; Data Science Fundamentals, and 2021 Data Science &amp; Machine Learning with R from A-Z. These courses are designed to give you the competitive edge you need to succeed in the fast-paced world of tech.</p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Advanced Diploma in Python Programming: Beginner To Expert at QLS Level 7</li><li><strong>Course 02:</strong> Diploma in Python Programming at QLS Level 5</li><li><strong>Course 03:</strong> Diploma in Python Programming Bible at QLS Level 5</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 04:</strong> Diploma in Python Programming</li><li><strong>Course 05:</strong> Azure Machine Learning</li><li><strong>Course 06:</strong> Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 07:</strong> Machine Learning Model Using AWS SageMaker Canvas</li><li><strong>Course 08:</strong> 2021 Data Science &amp; Machine Learning with R from A-Z</li></ul><p>Take your career to the next level with our bundle that includes not only technical courses but also <strong>five guided courses</strong> focused on personal development and <strong> career growth.</strong></p><ul><li><strong>Course 09: </strong>Leadership and Management Course</li><li><strong>Course 10:</strong> Career Development and Passion</li><li><strong>Course 11: </strong>Professional CV Writing</li><li><strong>Course 12: </strong>Boost Your Confidence and Self-Esteem</li><li><strong>Course 13: </strong>Public Speaking: Confident Delivery Skills</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Understanding of Python syntax and programming concepts</li><li>Proficiency in Python data structures and algorithms</li><li>Knowledge of Python libraries and frameworks</li><li>Familiarity with networking and web development using Python</li><li>Understanding of machine learning and data science concepts</li><li>Ability to build Python-based applications and solutions</li><li>Effective problem-solving and debugging skills</li></ul><p>Our Python Programming Bundle is the ultimate resource for anyone looking to master the Python programming language and take their tech career to the next level. In the Python Programming course, you'll learn the basics of Python syntax and programming concepts, including data types, variables, and functions. The Python Programming for Non Programmers Level 5 course covers advanced topics like object-oriented programming and database integration. And in the Python Programming Bible | Networking, GUI, Email, XML, CGI course, you'll learn how to build networking applications, create GUIs, and work with email, XML, and CGI.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality</strong><strong>and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>Three Hardcopy QLS Certificates at their door!</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 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>IT professionals looking to enhance their Python programming skills</li><li>Students interested in pursuing a career in data science or machine learning</li><li>Entrepreneurs looking to build tech products and solutions</li><li>Anyone interested in learning more about Python and its applications in the tech industry</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £30,000 - £70,000 per year</li><li>Data Analyst: £22,000 - £50,000 per year</li><li>Machine Learning Engineer: £35,000 - £100,000 per year</li><li>Full-Stack Developer: £25,000 - £75,000 per year</li><li>Software Engineer: £30,000 - £80,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Python Programming Bundle (QLS) Course

<strong>Learn Python Programming using a Step By Step Approach with 200+ code examples.</strong>
        <p>Python is one of the most popular programming languages. Python offers both object-oriented and structural programming features. We love Programming. Our aim with this course is to create a love for Programming. 
In more than 150 Steps, we explore the most important Python Programming Language Features
??Basics of Python Programming - Expressions, Variables, and Printing Output
??Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
??Python Conditionals and If Statement
??Methods - Parameters, Arguments and Return Values
??An Overview Of Python Platform
??Object-Oriented Programming - Class, Object, State and Behavior
??Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
??Basics about Python Data Types
??Basics about Python Built-in Modules
??Conditionals with Python - If Else Statement, Nested If Else
??Loops - For Loop, While Loop in Python, Break and Continue
??Immutablity of Python Basic Types
??Python Data Structures - List, Set, Dictionary and Tuples
??Introduction to Variable Arguments
??Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
??Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Python-Programming-for-Beginners---Learn-in-100-Easy-Steps
</p>
        <h2>What You Will Learn</h2><p>You will learn Python the modern way - Step By Step - with 200 hands-on Code Examples<br>You will understand the best practices in writing high-quality Pythonic Code<br>You will solve a Wide Range of Hands-on Programming exercises with Python<br>You will learn to Write awesome Object-Oriented Programs with Python<br>You will acquire all the Python Skills needed to transition into Analytics, Machine Learning and Data Science Roles<br>You will Acquire all the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews<br>You will learn about a wide variety of Python Data Structures - List, Set, Dictionary and Tuples<br>You will learn the basics of PyCharm IDE and Python Shell<br>You will learn how to think as a Python Programmer<br>You will learn the basics of programming - variables, choosing a data type, conditional execution, loops, writing great methods, breaking down problems into subproblems and implementing exception handling.<br>You will learn the basics of Object Oriented Programming - Inheritance, Abstract Class and Constructors<br>You will learn the important concepts of Object Oriented Programming - Abstraction and Inheritance</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn Programming with Python. You want to automate things with Python.</p>
        <h2>Approach</h2><p>We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.</p>
        <h2>Key Features</h2><p>The course is amazing, the instructor has good knowledge in the field  * This course can be viewed with zero Python Programming Experience</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-beginners---learn-in-100-easy-steps</p>
        <h2>About the Author</h2><h3>In28Minutes Official</h3><p>	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide.

His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples.

Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Introduction to Python Programming With Multiplication Table</h4><p></p><br><h4>3. Introduction to Methods - Multiplication Table</h4><p></p><br><h4>4. Introduction to Python Platform</h4><p></p><br><h4>5. Introduction to PyCharm</h4><p></p><br><h4>6. Basic Numeric Data Types and Conditional Execution</h4><p></p><br><h4>7. Text in Python</h4><p></p><br><h4>8. Python Loops</h4><p></p><br><h4>9. Python Tips for Beginners</h4><p></p><br><h4>10. Introduction to Object Oriented Programming</h4><p></p><br><h4>11. Python Data Structures</h4><p></p><br><h4>12. Object Oriented Programming Again</h4><p></p><br><h4>13. Error Handling with Python</h4><p></p><br><h4>14. A Few More Python Tips</h4><p></p><br><h4>15. Thank You and Congratulations</h4><p></p>

Learn Python Programming using a Step By Step Approach with 200+ code examples.

Python Programming for Beginners - Learn in 100 Easy Steps

<h3><b>Overview</b></h3><p><span>With the ever-increasing demand for Python Programming  in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Python Programming  may be.</span></p><p><span>Learning about Python Programming  or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Python Programming . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Python Programming  is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p><span>The self-paced online learning methodology by compete high in this Python Programming  course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p><span>Instead of searching for hours, enrol right away on this Python Programming  course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><h3><b>Who is this course for?</b></h3><p><span>While we refrain from discouraging anyone wanting to do this Python Programming  course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Python Programming ,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Python Programming ,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Python Programming , or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><h3><b>Career Path</b></h3><p><span>This Python Programming  course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module-1-Introduction-to-Python.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Introduction-to-Python.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-2-Variables.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Variables.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-3-Conditional-Statement.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Conditional-Statement.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-4-Loops.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Loops.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-5-Functions.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Functions.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-6-Objects.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Objects.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

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