Name: Python QLS Training Course
Price: 129 GBP
Availability: InStock

<strong>Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.</strong>
        <p>Python is a fantastic OOP language that lets you use functional and OOP paradigms. Python offers several benefits compared to other programming languages like Java, C++ or R. It is a dynamic language, with high-level data types. Python is easier to learn for beginners as its codes are more readable and intuitive.

This course is designed to take you through the fundamentals of OOPs and understanding how it works. During this course, you will learn about important concepts such as classes, objects, abstraction, method overloading, and inheritance in sufficient detail. The course will also take you through the concepts of objects and attributes, mathematical operators, callable functions, encapsulation, inheritance and method resolution comprehensively. The course explains the OOP paradigm and lets you create class hierarchies using the OOP design process.

By the end of the course, you will be able to design and implement Python programs for complex issues and make good use of the OOP features like classes and inheritance and apply your knowledge completing assignments that simulate real-world scenarios.

All resources are available at: https://github.com/PacktPublishing/Python---Object-Oriented-Programming</p>
        <h2>What You Will Learn</h2><p>Create class hierarchies using the object-oriented design process<br>Understand the difference between class and instance variables<br>Make an object indexable, callable, and comparable<br>Design and implement Python programs for complex problems<br>Put to code the language features such as classes and inheritance<br>Tackle complex code with OOP paradigm, design, and implementation</p>
        <h2>Audience</h2><p>This course provides new developers who know Python basics to expand their knowledge and developers and learners who wish to learn OOP in Python. Developers involved with game development, GUI programming, AI, machine learning, and other computed automation can benefit from this course. The concepts and techniques can be applied to other programming languages, so intermediate-level developers wishing to advance their programming skillsets can also learn from this course for career advancement. To get the most from this course, you need to be an intermediate-level programmer in Python.</p>
        <h2>Approach</h2><p>This course provides high-quality video lectures that help you learn at your pace and work on the concepts learned with practice assignments. During this course, you will see several examples that allow you to fully understand the concepts and develop your code for real-world apps. Coding exercises let you practice with solutions. Each coding exercise provides corresponding solutions and quizzes.</p>
        <h2>Key Features</h2><p>High-definition video training with exercises and assignments included, works on Mac or Windows * This course lets you master OOP concepts, classes, lists, functions, abstraction and inheritance * Self-paced learning with exercises, assignments, solutions and quizzes for better understanding</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python---Object-Oriented-Programming</p>
        <h2>About the Author</h2><h3>Simon Sez IT</h3><p>Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs.

Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.</p>
        <h2>Course Outline</h2><h4>1. Basics of Object-Oriented Programming</h4><p>This section provides an introductory overview of the concept of object-oriented programming. We learn how to create objects, print objects, and use classes inside classes in Python OOP.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>This video is a general introduction to the course, the concepts we learn from the course, and the complete course as an overview.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to OOP</p><p style='margin: 0'>In this video, you will learn about basic concepts of object-oriented programming. We will understand the concept of an object, how to create an object, how to print an object, and the advantages and capabilities of OOP.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating Bank Account Object: Attributes</p><p style='margin: 0'>After learning how to define an object, we will consider a bank account as an object and learn how to create it and understand its attributes.</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating Bank Account Object - Methods</p><p style='margin: 0'>In the previous video, you learned about creating a bank account object and setting its attributes. In this lesson, you will learn more about the methods and understand how the object behaves with the methods imparted.</p></td></tr><tr><td style='padding: 15px;'><p>5. Printing Objects</p><p style='margin: 0'>This lecture will teach us how to use the "_str_" string object, which is responsible for printing objects. Here, you learn to use this to define our string object and print it.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using A Class Inside Another Class</p><p style='margin: 0'>After learning how to define objects with attributes and methods, you will learn how to use an object within an object.</p></td></tr></tbody></table><br><h4>2. Inheritance and Abstraction</h4><p>This section demonstrates an inheritance in OOP, and you will learn about the method resolutions and abstract methods.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Class Inheritance</p><p style='margin: 0'>In this video, you will learn about inheritance in OOP, and we will look at how an object behaves after inheriting the attributes of another object and why this is useful.</p></td></tr><tr><td style='padding: 15px;'><p>2. Inheritance and Method Resolution Order Part 1</p><p style='margin: 0'>Here, we will understand inheritance and how an object's attributes and methods are inherited into another object.</p></td></tr><tr><td style='padding: 15px;'><p>3. Inheritance and Method Resolution Order Part 2</p><p style='margin: 0'>In this lesson, we will look at inheritance in further detail and understand accessing object attributes and multi-inheritance.</p></td></tr><tr><td style='padding: 15px;'><p>4. Abstract Methods</p><p style='margin: 0'>This video teaches us the implementation of methods for different classes. You will learn about parent and child classes. We will understand what abstract methods are.</p></td></tr></tbody></table><br><h4>3. Class Level Versus Object Level</h4><p>This section delves into classes in detail, and you will learn about the different classes and define their attributes. You will also learn in detail the various methods used inside classes.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Class Attribute Versus Object Attribute</p><p style='margin: 0'>In this video, you will learn about a class attribute, which is a property of a class. You learn about instance attributes. We will differentiate between instance attributes and class attributes and define class attributes.</p></td></tr><tr><td style='padding: 15px;'><p>2. Different Methods Inside the Class</p><p style='margin: 0'>Here, we will look at methods in detail, such as instance, class, and static. We will create a simple class and differentiate between the three methods.</p></td></tr><tr><td style='padding: 15px;'><p>3. Different Methods Inside the Class Part 2: Use Cases</p><p style='margin: 0'>In this video, we will use the other two methods, namely the class and static methods. We will code classes and look at the attributes of these classes with examples.</p></td></tr><tr><td style='padding: 15px;'><p>4. Assignment 1</p><p style='margin: 0'>In this assignment, we will define an object called "player" and understand the player object's behavior.</p></td></tr><tr><td style='padding: 15px;'><p>5. Assignment 2</p><p style='margin: 0'>In this assignment, we will work with lists and use the "from_string" to create a list of items in an object. You will learn how to create a shopping list class and print the items.</p></td></tr></tbody></table><br><h4>4. Encapsulation</h4><p>This chapter will discuss the essential concepts of object-oriented programming and encapsulation that combine attributes and methods.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Public and Private</p><p style='margin: 0'>In this video, we will understand a key concept called encapsulation in OOP. You will learn about public and private attributes, hide information from code, and protect data.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getters and Setters</p><p style='margin: 0'>This lesson takes us through creating a way to interact with objects, getting attributes, and setting new values to private attributes. We will look at the two methods, getter and setter, to obtain private attributes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Methods as Attributes</p><p style='margin: 0'>You will learn to use getter and setter methods; instead, you will learn to access an attribute like a getter or setter method, and we will use an assigner method.</p></td></tr><tr><td style='padding: 15px;'><p>4. Assignment 3</p><p style='margin: 0'>In this assignment, you will learn to create a class for the weather condition. We will use two attributes such as temperature and status.</p></td></tr></tbody></table><br><h4>5. Magic Functions</h4><p>This section demonstrates the magic methods in Python programming. You will learn how to make objects callable, iterable, and comparable.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Making Your Objects Callable</p><p style='margin: 0'>In this video, you will learn about the "_call_" method, which can be used to make an object callable.</p></td></tr><tr><td style='padding: 15px;'><p>2. Making Your Objects Iterable</p><p style='margin: 0'>In this lesson, you will learn about a new method that helps us to create an object like lists in Python. You will also learn about iterable objects, indexing, and the "_getitem_" method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Make Your Objects Comparable.</p><p style='margin: 0'>Here, you will learn to implement comparison methods. You will learn to invoke the magic methods internally in a class on a specific action like creating an object, printing an object, or comparing two objects.</p></td></tr><tr><td style='padding: 15px;'><p>4. Arithmetic Operations on Objects</p><p style='margin: 0'>You will learn about the different types of operators like the +, /, -, and * and how to concatenate strings. You will learn to use magic methods for mathematical operators.</p></td></tr><tr><td style='padding: 15px;'><p>5. Assignment 4</p><p style='margin: 0'>In this assignment, you will learn to define a text encryption method called Caesar cypher.</p></td></tr><tr><td style='padding: 15px;'><p>6. Assignment 5</p><p style='margin: 0'>In this assignment, we will understand how to create an object called a library with indexing using title and category.</p></td></tr><tr><td style='padding: 15px;'><p>7. Assignment 6</p><p style='margin: 0'>In this assignment, you will learn how to create comparable objects. We will create two objects that have similar attributes and compare them.</p></td></tr><tr><td style='padding: 15px;'><p>8. Assignment 7</p><p style='margin: 0'>In the final assignment, we will understand the implementation of arithmetic operations. We will work on addition and subtraction for the bank account assignment.</p></td></tr></tbody></table>

Packt

Python

Programming

Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.

Python - Object-Oriented Programming

General Admission

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					<div><p>Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our exclusive Python Programming - For Non Programmers course.</p><p>With the Python Programming - For Non Programmers course, you will gain knowledge about the fundamentals topics and acquire the necessary skills. It covers everything you need to get up to speed, from basic python, programming primitives to python coding, data visualization, web development and so on. Our exclusive and advanced curriculum that breaks down the topics is easy to understand, which helps you to reach the required aspects for this course. You can study at your own pace with 24/7 access. This course is accessible by any modern device with an internet connection.</p><p>Upon completing this Python Programming - For Non Programmers  course, you will ensure your professional position, progress further to higher levels of professional qualifications, and be able to raise your career curve swiftly. </p><p>Enrol now and dive in for a glorious career!!!</p></div>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Unit 01: Introduction to Python Programming</strong></td>
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					<td>Module 01: Course Introduction</td><td><span>🕐 00:02:00</span></td>
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					<td colspan="4"><strong>Unit 02: Getting Started with Python</strong></td>
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					<td>Module 01: Software Installation</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 02: Hello World Program</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 03: Input and Output</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 04: Calculating Average of 5 Numbers</td><td><span>🕐 00:03:00</span></td>
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					<td colspan="4"><strong>Unit 03: Conditional Branching with Python</strong></td>
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					<td>Module 01: If Loop In Python</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 02: Program Using If Else part 1</td><td><span>🕐 00:03:00</span></td>
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					<td>Module 03: Program Using If Else part 2</td><td><span>🕐 00:08:00</span></td>
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					<td>Module 04: Program for Calculator</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 05: Program Using For Loop</td><td><span>🕐 00:08:00</span></td>
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					<td>Module 06: For Table</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 07: For loop and Mathematical Operator in Python</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 08: Factorial of Number Using Python</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 09: Program Using While</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 10: While Loop Example</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 11: Tasks for Practice</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 01: Importing Library in Python</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Unit 05: Project Rock Paper and Scissors</strong></td>
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					<td>Module 01: Rock Paper and Scissor Game</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 01: Program Using String part 1</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 02: Program using String 2</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 03: Program Using String 3</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 04: Program Using String part 4</td><td><span>🕐 00:03:00</span></td>
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					<td colspan="4"><strong>Unit 07: Date and time in Python</strong></td>
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					<td>Module 01: Use of Date and Time part 1</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 02: Use of Date and Time part 2</td><td><span>🕐 00:05:00</span></td>
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					<td colspan="4"><strong>Unit 08: File Handling, read and write using Python</strong></td>
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					<td>Module 01: File Handling Part 1</td><td><span>🕐 00:08:00</span></td>
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					<td>Module 02: File Handling Part 2</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Unit 09: Data Storage Structures, Tuple, List and Dictionary</strong></td>
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					<td>Module 01: Tuple in Python Part 1</td><td><span>🕐 00:10:00</span></td>
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					<td>Module 02: Tuple in Python Part 2</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 03: Using Lists part 1</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 04: Using List part 2</td><td><span>🕐 00:12:00</span></td>
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					<td>Module 05: Using Lists part 3</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 06: Using Lists part 4</td><td><span>🕐 00:08:00</span></td>
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					<td>Module 07: Using Lists part 5</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 08: Use of Dictionary Part 1</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 09: Use of Dictionary Part 2</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 10: Use of Dictionary Part 3</td><td><span>🕐 00:08:00</span></td>
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					<td>Module 11: Use of Dictionary Part 4</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Unit 10: Writing user functions in Python</strong></td>
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					<td>Module 01: Function in Python Part 1</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 02: Function in Python Part 2</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 03: Function in Python Part 3</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 04: Function in Python Part 4</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 05: Function in Python Part 5</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Unit 11: Sending mail</strong></td>
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					<td>Module 01: Send Email</td><td><span>🕐 00:09:00</span></td>
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					<td colspan="4"><strong>Unit 12: Import Tricks in Python</strong></td>
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					<td>Module 01: Import Study part 1</td><td><span>🕐 00:07:00</span></td>
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					<td>▶</td>
					<td>Module 02: Import Study part 2</td><td><span>🕐 00:03:00</span></td>
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					<td colspan="4"><strong>Unit 13: Import Operating System and Platform</strong></td>
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					<td>Module 01: Importing OS</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 02: Import Platform</td><td><span>🕐 00:05:00</span></td>
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					<td colspan="4"><strong>Unit 14: Exceptions handling in python</strong></td>
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					<td>Module 01: Exception in Python part 1</td><td><span>🕐 00:11:00</span></td>
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					<td>Module 02: Exception in Python part 2</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 03: Exception in Python part 3</td><td><span>🕐 00:05:00</span></td>
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					<td colspan="4"><strong>Unit 15: Installing Packages and Scheduling In Python</strong></td>
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					<td>▶</td>
					<td>Module 01: Installing Packages using built in package manager</td><td><span>🕐 00:08:00</span></td>
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					<td>▶</td>
					<td>Module 02: Scheduler in Python</td><td><span>🕐 00:05:00</span></td>
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					<td colspan="4"><strong>Unit 16: Data Base In Python using sqlite</strong></td>
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					<td>▶</td>
					<td>Module 01: Data Base 1</td><td><span>🕐 00:08:00</span></td>
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					<td>▶</td>
					<td>Module 02: Data Base 2</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Module 03: Data Base 3</td><td><span>🕐 00:08:00</span></td>
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					<td>▶</td>
					<td>Module 04: Data base 4</td><td><span>🕐 00:07:00</span></td>
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					<td>▶</td>
					<td>Module 05: Data Base 5</td><td><span>🕐 00:06:00</span></td>
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					<td colspan="4"><strong>Unit 17: Running Program from Command Prompt and jupyter Notebook</strong></td>
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					<td>▶</td>
					<td>Module 01: IDE_1</td><td><span>🕐 00:05:00</span></td>
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					<td>▶</td>
					<td>Module 02: IDE_2</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Unit 18: Conclusion</strong></td>
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					<td>▶</td>
					<td>Module 01: Conclusion</td><td><span>🕐 00:02:00</span></td>
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					<td colspan="4"><strong>Resources</strong></td>
				</tr>
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					<td><i></i></td>
					<td>Resources - Basic Python Programming</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our

Python Programming - For Non Programmers

Data Science

Data Visualization

Data Analysis

Pandas

Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills   necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!

Data Manipulation in Python - Master Python, NumPy, and Pandas

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					<div><p>In this captivating course, you will embark on an exciting adventure through the Python programming language. Our journey begins with Section 1, 'Introduction &amp; Getting Started,' where you'll uncover the magic of Python and set the stage for your coding expedition. As you progress through the course, you'll explore essential concepts such as variables, data types, and conditional statements, all while acquiring the skills to craft your own Python programs.</p><p>With engaging exercises like building a program to say hello and creating a simple calculator, you'll gain hands-on experience, solidifying your newfound knowledge. Sections 10 and 11 delve into the powerful world of loops, covering both for and while loops, providing you with the tools to automate tasks and solve real-world problems. To put your skills to the test, Section 12 guides you in building a Username Password App, demonstrating the practical application of Python in everyday life.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Master the fundamentals of Python programming.</span>
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										<span>Create Python programs to solve practical problems.</span>
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										<span>Understand variables, data types, and conditional statements.</span>
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										<span>Harness the power of loops to automate tasks.</span>
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										<span>Build a Username Password App for real-world use.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Jumpstart your coding journey with a beginner-friendly Python course.</span>
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										<span>Build a strong foundation for further programming exploration.</span>
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										<span>Gain practical Python skills for everyday applications.</span>
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										<span>Challenge yourself with engaging exercises and real-world projects.</span>
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										<span>Open doors to a world of opportunities in technology and software development.</span>
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			<h2> <b>Career Path</b></h2>		</div>
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										<span>Python Developer</span>
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										<span>Data Analyst</span>
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										<span>Web Developer</span>
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										<span>Software Engineer</span>
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										<span>Machine Learning Engineer</span>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>Access to a computer with an internet connection.</span>
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										<span>Basic familiarity with using a computer.</span>
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										<span>Eagerness to learn and explore the world of programming.</span>
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		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Section 1: Introduction &amp; Getting Started</strong></td>
				</tr>
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					<td>▶</td>
					<td>Unit 1: Introduction</td><td><span>🕐 00:03:00</span></td>
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					<td>▶</td>
					<td>Unit 2: Instructor's Introduction</td><td><span>🕐 00:03:00</span></td>
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					<td>Unit 3: Why Python</td><td><span>🕐 00:03:00</span></td>
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					<td colspan="4"><strong>Section 2: Downloading and Installing Python Editor</strong></td>
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					<td>▶</td>
					<td>Unit 1: Downloading and Installing Python</td><td><span>🕐 00:12:00</span></td>
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					<td colspan="4"><strong>Section 3: Getting Started</strong></td>
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					<td>Unit 1: Hello World and Help Function</td><td><span>🕐 00:09:00</span></td>
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					<td colspan="4"><strong>Section 4: Variables and Basic Data Types in Python</strong></td>
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					<td>▶</td>
					<td>Unit 1: Variables and Basic Data Types in Python</td><td><span>🕐 00:12:00</span></td>
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					<td colspan="4"><strong>Section 5: Comments</strong></td>
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					<td>▶</td>
					<td>Unit 1: Commenting Your Code</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Section 6: Input</strong></td>
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					<td>Unit 1: Reading Keyboard Input</td><td><span>🕐 00:11:00</span></td>
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					<td colspan="4"><strong>Section 7: Exercise - Build a Program to Say Hello</strong></td>
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					<td>Unit 1: Exercise - Build a Program to Say Hello</td><td><span>🕐 00:05:00</span></td>
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					<td colspan="4"><strong>Section 8: Exercise - Build a Simple Calculator</strong></td>
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					<td>Unit 1: Exercise - Build a Simple Calculator App</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Section 9: Conditional Statements</strong></td>
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					<td>Unit 1: Conditional Statements</td><td><span>🕐 00:15:00</span></td>
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					<td colspan="4"><strong>Section 10: Loops - For Loop</strong></td>
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					<td>▶</td>
					<td>Unit 1: Loops - While Loop</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Section 11: Loops - While Loop</strong></td>
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					<td>▶</td>
					<td>Unit 1: Loops - While Loop</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Section 12: Exercise - Building a Username Password App</strong></td>
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					<td>▶</td>
					<td>Unit 1: Exercise - Building a Username and Password App</td><td><span>🕐 00:05:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

iscover the fascinating world of Python programming as you take your first steps into the realm of coding. This course is designed to ignite your passion for programming, providing a solid foundation for beginners. Get ready to unleash your creative potential in the world of technology.

Python Crash Course - Level 1

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p><p>Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.</p><p>Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization.</p><p>The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.</p><p><strong>This Python Bundle Consists of the following Premium courses: </strong></p><ul><li><strong></strong><strong> Course 01</strong>: Python Programming for Everybody</li><li><strong></strong><strong> Course 02</strong>: Data Science with Python</li><li><strong></strong><strong> Course 03</strong>: Machine Learning with Python</li><li><strong></strong><strong> Course 04</strong>: Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong></strong><strong> Course 05</strong>: Higher Order Functions in Python - Level 03</li><li><strong></strong><strong> Course 06</strong>: Introduction to Data Analysis</li><li><strong></strong><strong> Course 07</strong>: Data Structures Complete Course</li><li><strong></strong><strong> Course 08</strong>: Basic Google Data Studio</li><li><strong></strong><strong> Course 09:</strong> Computer Science: Graph Theory Algorithms</li><li><strong></strong><strong> Course 10</strong>: Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li><strong></strong><strong> Course 11</strong>: Business Intelligence and Data Mining Masterclass</li><li><strong></strong><strong> Course 12</strong>: Cyber Security Incident Handling and Incident Response</li><li><strong></strong><strong> Course 13</strong>: Decision Making and Critical Thinking Decision Making and Critical Thinking</li><li><strong></strong><strong> Course 14</strong>: Time Management</li></ul><p><strong>Benefits you'll get from choosing Apex Learning:</strong></p><ul><li>Pay once and get lifetime access <strong>to 14 CPD courses</strong></li><li>Free e-Learning App for engaging reading materials &amp; helpful assistance</li><li>Certificates, student ID for the Courses included in a one-time fee</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules of Courses designed by expert instructors</li><li>Learn about Courses at your ease - anytime, from anywhere</li><li>Study the Courses from your computer, tablet or mobile device</li><li>CPD accredited Courses - improve the chance of gaining professional skills</li></ul><p><strong>Curriculum : </strong></p><p><strong>Course 01: Python Programming for Everybody</strong></p><p>This Python's curriculum has been designed by experts with years of experience behind them. The Python course is extremely dynamic and well-paced to help you understand with ease. You'll discover how to master the skill while exploring relevant and essential topics.</p><p><strong>Module 01</strong></p><ul><li>A Installing Python</li><li>Documentation</li><li>Command Line</li></ul><p>And much more...</p><p><strong>Module 02</strong></p><ul><li>Additional Topics</li><li>If Elif Else</li><li>Iterable</li><li>For</li></ul><p>And much more...</p><p><strong>Module 03</strong></p><ul><li>Number Types</li><li>More Number Types</li><li>Strings</li><li>More Strings</li></ul><p>And much more...</p><p><strong>Module 04</strong></p><ul><li>Comprehensions</li><li>Definitions</li><li>Functions</li><li>Default Arguments</li></ul><p>And much more...</p><p><strong>Module 05</strong></p><ul><li>Function Objects</li><li>Lambda</li><li>Generators</li><li>Closures</li></ul><p>And much more...</p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

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

                        <div id="requirements">
                            <p>Our course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Apex Learning

Python Training Courses

<strong>In this course, we'll create Python APIs with the Django REST framework. We'll be using an existing project called Todo and learn how to add an API to it. This course requires beginner-level experience with Django; if you've created a Django project before, it will be beneficial.</strong>
        <p>Django REST framework is a powerful and flexible toolkit for building web APIs. In this course, we'll be using the Django REST framework to create Python APIs.

We'll first learn what REST APIs are and how to use them. Then we'll move on to creating a Reddit clone with API calls to make and delete posts, vote on posts, and more. Then, in section 3, we'll add API functionality to an existing Django project. In this case, we will use a Todo Woo project; you can practice with any of your existing Django projects.

By the end of the course, you will be able to create APIs with Python using Django REST Framework.

The code bundle for this course is available at https://github.com/PacktPublishing/Creating-APIs-with-Python---Django-REST-Framework</p>
        <h2>What You Will Learn</h2><p>Use the Django REST Framework to create Python API<br>Create a Reddit Clone<br>Add an API to an existing project<br>Learn how to use Curl and test APIs<br>Add the Create, Retrieve, Update, and Destroy feature<br>Add authentication to the project</p>
        <h2>Audience</h2><p>This course is for any Django developers who want to build an API. You require beginner-level experience with Django; if you've created a Django project before, it will be beneficial.</p>
        <h2>Approach</h2><p>This is a complete hands-on course where you will be building a RESTful web API for mobile apps and front-end JavaScript frameworks.</p>
        <h2>Key Features</h2><p>Learn what REST APIs are and how to use them * Create a Reddit clone with API calls to make and delete posts, vote on posts, and more * Add API functionality to an existing Django project</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Creating-APIs-with-Python---Django-REST-Framework</p>
        <h2>About the Author</h2><h3>Nick Walter</h3><p>Nick Walter is an experienced mobile and web developer and has worked with technologies such as iOS, Android, Django, and Python.

He learned to code about seven years ago. He had limited access to training resources back then. Whilst he learned to code, he also realized the need to change the way that people learn to code. That's when Nick took up teaching. His experience as an online student has definitely influenced his teaching style-he knows what it is like to be in their shoes.

He started his teaching career in 2014, with the Internet's first Swift course. He now teaches a range of technologies such as iOS, Android, Django, Kotlin, Python, HTML, and Blockchain.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. API Basics - Making a Reddit Clone</h4><p></p><br><h4>3. Adding an API to an Existing Project</h4><p></p><br><h4>4. Finishing Thoughts</h4><p></p>

In this course, we'll create Python APIs with the Django REST framework. We'll be using an existing project called Todo and learn how to add an API to it. This course requires beginner-level experience with Django; if you've created a Django project before, it will be beneficial.

Creating APIs with Python - Django REST Framework

Analytics

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Practical Data Science Using Python.

<strong>This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.</strong>
        <p>With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming.

The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators.

By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts.

The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>What You Will Learn</h2><p>Explore Python datatypes variables and functions<br>Find out how to create and work with modules and packages<br>Read and write a CSV and binary file<br>Grasp techniques to handle exceptions<br>Find out how to debug Python programs<br>Create, activate, and deactivate Python virtual environments</p>
        <h2>Audience</h2><p>This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.</p>
        <h2>Approach</h2><p>Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.</p>
        <h2>Key Features</h2><p>Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>2. Setting up the Python Development Environment</h4><p></p><br><h4>3. Python - Absolute Basics</h4><p></p><br><h4>4. Variables, Data Types, and Built-in Functions</h4><p></p><br><h4>5. Conditional Statements and Loops</h4><p></p><br><h4>6. Working with Lists</h4><p></p><br><h4>7. Working with Tuples</h4><p></p><br><h4>8. Working with Sets</h4><p></p><br><h4>9. Working with Dictionaries</h4><p></p><br><h4>10. Working with Strings</h4><p></p><br><h4>11. Functions</h4><p></p><br><h4>12. Modules and Packages</h4><p></p><br><h4>13. Debugging</h4><p></p><br><h4>14. Working with Files (Files Input/Output)</h4><p></p><br><h4>15. Handling Exceptions</h4><p></p><br><h4>16. Working with Numbers</h4><p></p><br><h4>17. Working with Dates and Times</h4><p></p><br><h4>18. Package Management</h4><p></p><br><h4>19. Python Virtual Environments</h4><p></p><br><h4>20. Comprehensions</h4><p></p><br><h4>21. Decorators</h4><p></p><br><h4>22. Generators</h4><p></p><br><h4>23. Miscellaneous and Additional Resources</h4><p></p>

Linux

Debugging

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.

Python Programming for Beginners: Hands-on (Online Lab)

<p>Whether you're a beginner looking to start your coding journey or an experienced developer aiming to dive into data science and machine learning, this comprehensive course has you covered.</p><p>In this Python bundle, you'll embark on a transformative learning journey through 11 carefully curated courses. First, you'll lay the foundation with "Python Programming: Python Coding Essential Training," where you'll grasp the fundamentals of Python coding. Then, you'll advance into the world of data with the "Data Structures Complete Course," equipping you with the skills to manipulate and manage data efficiently.</p><p>But that's just the beginning. With courses spanning data science, machine learning, cloud computing, SQL programming, business intelligence, and critical thinking, this bundle is your passport to a versatile skill set that's in high demand. By enrolling in this course, you're investing in a brighter future, gaining the knowledge and expertise that will open doors to exciting career opportunities and enable you to tackle real-world challenges. Don't miss out on this chance to become a Python powerhouse and shape your professional destiny.</p><p><strong>This Python Powerhouse: Python Bundle Course for All Levels Bundle Consists of the following Premium courses:</strong></p><ul><li>Course 01: Python Programming: Python Coding Essential Training</li><li>Course 02: Data Structures Complete Course</li><li>Course 03: Data Science with Python</li><li>Course 04: Data Science &amp; Machine Learning with Python</li><li>Course 05: Python for Data Analysis</li><li>Course 06: Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li>Course 07: SQL Programming Complete Bundle</li><li>Course 08: Higher Order Functions in Python - Level 03</li><li>Course 09: Basic Google Data Studio</li><li>Course 10: Business Intelligence and Data Mining Masterclass</li><li>Course 11: Decision Making and Critical Thinking</li></ul><p><strong>Learning Outcomes</strong></p><p>Upon completion of this bundle, you should be able to:</p><ul><li>Develop a solid foundation in Python programming, enabling them to apply coding skills efficiently.</li><li>Acquire a deep understanding of data structures and their applications in healthcare data management.</li><li>Master the use of Python for data science, allowing them to analyse healthcare data and extract valuable insights.</li><li>Explain SQL programming, which is crucial for handling healthcare databases and managing patient information securely.</li><li>Explore higher-order functions in Python, enhancing their problem-solving skills and programming capabilities.</li><li>Develop basic proficiency in Google Data Studio, a valuable tool for visualising healthcare data.</li><li>Master business intelligence and data mining techniques are specific to the healthcare industry.</li></ul><p>"Python Powerhouse: Python Bundle Course for All Levels" is your gateway to mastering Python and unleashing its potential across various domains. This comprehensive course comprises 11 meticulously designed modules, each geared towards equipping learners with essential skills and knowledge. Starting with "Python Programming: Python Coding Essential Training," you'll build a strong foundation in Python, a programming language known for its versatility and widespread use. As you progress through the "Data Structures Complete Course," you'll delve into the world of efficient data manipulation, a fundamental skill applicable in numerous professional settings.</p><p>One of the highlights of this bundle is "Data Science with Python," which empowers learners to harness Python's capabilities for data analysis. In "Data Science &amp; Machine Learning with Python," you'll take the next step, exploring advanced techniques that are vital in today's data-driven world. Furthermore, "Python for Data Analysis" enhances your proficiency in making data-driven decisions. Beyond data, you'll gain expertise in cloud computing, SQL programming, higher-order functions in Python, Google Data Studio, business intelligence, and critical thinking - all essential skills that can open doors to a multitude of career opportunities. This course is your passport to a fulfilling career by providing a comprehensive toolkit to excel in various domains and industries. Don't miss the chance to become a Python powerhouse and shape your professional destiny.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        110 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>This course is tailored for:</p><ul><li>Data Enthusiasts</li><li>Intermediate Python Developers</li><li>Data Visualisation Enthusiasts</li><li>Aspiring Business Analysts</li><li>Anyone interested in Python</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No requirements to enrol this Python Powerhouse: Python Bundle Course for All Levels course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon completion, various career opportunities include:</p><ul><li><strong>Software Developer</strong> (Average salary range of £35,000 to £70,000)</li><li><strong>Data Analyst</strong> (Average salary range of £25,000 and £60,000.)</li><li><strong>Machine Learning Engineer</strong> (Average salary range of £45,000 to £80,000)</li><li><strong>Web Developer </strong>(Average salary range of £30,000 to £65,000)</li><li><strong>Research Scientist </strong>(Average salary range of £40,000 to £75,000)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Python Powerhouse: Python Bundle Course for All Levels

<p><strong>Exclusive Deal - Flat 14% OFF - Get QLS Endorsed Certificate Worth £100 Free with </strong><strong>11 </strong><strong>(PDF + Hard Copy) Certificates (CPD) for each course. Hurry Up; the Offer Ends Soon!</strong></p><p>Why should people in the UK learn Python programming? Here's a startling statistic: the demand for <strong>Python </strong>programming skills has increased by 22.5% in the UK in the last year alone, with an average salary of <strong>£45,000 per annum</strong>. By taking our Python Programmer Complete Bundle, learners can gain the skills and knowledge they need to take advantage of this growing demand and launch a successful career in programming.</p><p><strong>11 </strong><strong>in 1 Exclusive Bundle</strong></p><ul><li><strong>Course 01: </strong>Python Programming at QLS Level 7</li><li><strong>Course 02: </strong>Higher Order Functions in Python</li><li><strong>Course 03:</strong> Python for Spatial Analysis in ArcGIS</li><li><strong>Course 04:</strong> Data Science with Python</li><li><strong>Course 05: </strong>Django Rest Framework</li><li><strong>Course 06: </strong>HTML Web Development Crash Course</li><li><strong>Course 07: </strong>Easy to Advanced Data Structures</li><li><strong>Course 08: </strong>Introduction to Cloud Computing</li><li><strong>Course 09:</strong> Mastering SQL Programming</li><li><strong>Course 10:</strong> Ethical Hacking</li><li><strong>Course 11:</strong> Computer Networking and Cyber Security<strong><br /></strong></li></ul><p>Whether you're an aspirant looking to start your dream career, a professional looking to branch out, or somebody in between   this <strong>Python</strong>, QLS Endorsed Course will get you sorted. The rudimentary knowledge in this course will add tremendous value and enable you to establish the meaningful career you've always craved.</p><p><strong>Why Choose Imperial Academy?</strong></p><ul><li>Fully online Training.</li><li>QLS Endorsed &amp; CPD Accredited Training.</li><li>No time limits. Study at your own pace.</li><li>Expert Instructors.</li><li>Audio Visual Training.</li><li>Further reading where necessary.</li><li>Up-to-date curriculum and effective guidelines.</li></ul><p> Enrol in our "<strong>Python</strong>" today and Start Learning </p><p>This <strong>Python </strong>bundle training will help you become an expert in a relevant sector. Our world-class tutors will help you with every query throughout your learning journey and assist you in mastering <strong>Python</strong>. So, add this course to your basket   harness the coveted skills and open the door to your next breakthrough!</p><p><strong>**Course Curriculum**</strong></p><p><strong>Course 01: Python Programming at QLS Level 7</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Getting Familiar with Python</li><li>Module 03: Basic Data Types</li><li>Module 04: Operators</li><li>Module 05: Advanced Data Types</li><li>Module 06: Control Flow Part 1</li><li>Module 07: Control Flow Part 2</li><li>Module 08: Functions</li><li>Module 09: User Input and Error Handling</li><li>Module 10: Advanced Functions</li><li>Module 11: Scripting and Libraries</li><li>Module 12: NumPy</li><li>Module 13: Pandas</li><li>Module 14: Introduction to OOP</li><li>Module 15: Advanced OOP</li><li>Module 16: Starting a Career</li></ul><p><strong>***And 10 More Free Courses***</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        145 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>This <strong>Python </strong>course will be a great source of knowledge for you to improve your existing skills and take them to the next level.</p><p><strong>Disclaimer</strong></p><p>This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. One Education will be able to advise you on any further recognition. For further information, please visit the Learner FAQs on the Quality Licence Scheme website.</p><p>Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Anyone can enrol in this Python course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this <strong>Python </strong>Course, you are to start your career or begin the next phase of your career in this field</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p><strong>Quality Licence Scheme Endorsed Certificate of Achievement</strong></p><p>Learners will get an endorsed certificate of achievement (included with the course) directly at their doorstep after successfully completing the package! It should be noted that <strong>international students must pay a £10 shipping cost.</strong></p><p>For ordering additional QLS Certificates, <strong>other than Python Programming: Beginner To Expert course</strong>, the fees will be following with £10 for international shipping only</p><ul><li>Level 1 - £109</li><li>Level 2 - £115</li><li>Level 3 - £119</li><li>Level 4 - £125</li><li>Level 5 - £129</li><li>Level 6 - £135</li><li>Level 7 - £139</li></ul><p><strong>CPD Accredited Certification</strong></p><p>Upon successfully completing each of the courses in this package, you will be qualified for CPD Accredited Certificates. Certification is available -</p><ul><li>PDF completely free of charge</li><li>Hard copy for £3.99 each</li></ul><p>It should also be noted that <strong>international students must pay a £10 shipping cost.</strong></p> </div>

                        </div>

Imperial Academy

Free QLS Endorsed Certificate | 11 in 1 Exclusive Bundle with Free Certificates | 145 CPD Points | Installment Payment

Python QLS Training Course

"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

Programming Fundamentals

Career Development

IT Certifications

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


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

Python Certification - IT Job Ready Program with Money Back Guarantee

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

Nexus Human

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

Azure Machine Learning

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

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

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

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

Python for Beginners: Learn Python Programming (Python 3)

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

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

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

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Big Data Analytics

Data Skills

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

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

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

Python Programming

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

The Ultimate Guide to Python Programming with Python 3.10

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

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

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

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

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

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

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

Python Bootcamp in a Day - Python Programming for Beginners.

<p><strong>Start your career as a Data Scientist and earn upto £90,000/ Year</strong></p><p>Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring <strong>Data Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some <strong>Data Scientist</strong> experience, we will guide you towards honing your skills and developing a strong foundation in <strong>Data Science</strong>.<br /><br /></li><li><strong>Tailored CV Building:</strong> Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the <strong>Data Science</strong> field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. <br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. <br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Ultimate Python Training for Beginners</li><li>Course 02: Python Intermediate Training</li><li>Course 03: Python Advanced Training</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Basic Data Analysis</li><li>Course 06: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li>Course 07: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Course 08: Customer Analytics Training</li><li>Course 09: Google Analytics for Everyone</li><li>Course 10: Google Data Studio: Data Analytics</li><li>Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Course 12: Big Data Analytics with PySpark Power BI and MongoDB</li><li>Course 13: Excel Data Analysis</li><li>Course 14: Introduction to Data Analytics with Tableau</li><li>Course 15: Machine Learning with Python Course</li><li>Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the <strong>Data Scientist </strong>Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to <strong>Data Scientist</strong>. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the <strong>Data Scientist</strong> industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in <strong>Data Science</strong> begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

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

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

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Start your career as a Data Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Scientist Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Scientist industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Analyst

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

Network

Networking

Cisco

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

Python Network Programming for Network Engineers (Python 3)

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

Riva Learning

Programming Languages

Computing

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

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