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Programming for Everybody (Getting Started with Python)

Course Overview Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no …

Programming for Everybody (Getting Started with Python)

Programming for Everybody (Getting Started with Python)

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Course Overview

Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no further; you’ve come to the right place!

Our easy-to-follow Programming for Everybody (Getting Started with Python) will provide you with all the deep knowledge and insight you need to know about this topic. This comprehensive course has been broken down into several manageable modules, which we believe will assist you to easily grasp each concept – from the fundamental to the more advanced aspects of the course. 

Learn the most in-demand skills from the safety & comfort of your home. Enjoy the freedom to learn at your own comfortable pace and prepare yourself for the market of the future.

Learning Outcomes

Whether you are an aspiring professional or a complete beginner, this course will improve your expertise and boost your CV with key skills and an accredited certification attesting to your knowledge. 

Entry Requirement

    • This course is available to all learners of all academic backgrounds.
    • Learners should be aged 16 or over to undertake the qualification.
    • Some basic understanding of the English language and numeracy.  

Certification

After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can, however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £29 or in PDF format at the cost of £19.

    • PDF certificate’s turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days

Why choose us?

      • Affordable, engaging & high-quality e-learning study materials;
      • Tutorial videos/materials from the industry-leading experts;
      • Study in a user-friendly, advanced online learning platform;
      • Efficient exam systems for the assessment and instant result;
      • The UK & internationally recognised accredited qualification;
      • Access to course content on mobile, tablet or desktop from anywhere, anytime;
      • The benefit of career advancement opportunities;
      • 24/7 student support via email.

Career path

Programming for Everybody (Getting Started with Python) is a useful qualification to possess and would be beneficial for any related profession or industry. 

Course Curriculum

Section 01: Introduction to Python Programming from A-Z
Intro To Python Section Overview 00:05:00
What is Python Programming 00:10:00
Who is This Course For 00:05:00
Python Programming Marketplace 00:06:00
Python Job Opportunities 00:05:00
How To Land a Python Job Without a Degree 00:08:00
Python Programmer Job Roles 00:09:00
Python from A-Z Course Structure 00:04:00
Section 02: Getting Familiar with Python
Getting Familiar with Python Section Overview 00:06:00
Installing Python on Windows 00:10:00
Anaconda and Jupyter Notebooks Part 1 00:08:00
Anaconda and Jupyter Notebooks Part 2 00:16:00
Comments 00:05:00
Python Syntax 00:02:00
Line Structure 00:03:00
Line Structure Exercise 00:07:00
Joining Lines 00:05:00
Multiple Statements on a Single Line 00:05:00
Indentation 00:08:00
Section 03: Basic Data Types
Basic Data Types Section Overview 00:08:00
String Overview 00:10:00
String Manipulation 00:07:00
String Indexing 00:04:00
String Slicing 00:08:00
Printing 00:10:00
Python Variables 00:08:00
Integers and Floats 00:08:00
Booleans 00:05:00
Mini Project 1 : Letter Counter 00:20:00
Section 04: Python Operators
Python Operators Section Overview 00:04:00
Comparison Operators 00:09:00
Arithmetic Operators 00:08:00
Assignment Operators 00:04:00
Logical Operators 00:13:00
Identity Operators 00:05:00
Membership Operators 00:02:00
Bitwise Operators 00:08:00
Section 05: Advanced Data Types
Python Advanced Data Types Section Overview 00:11:00
Sets 00:06:00
List Overview 00:05:00
List Slicing and Indexing 00:04:00
Tuples 00:02:00
Dictionaries 00:11:00
When to use each one? 00:05:00
Compound Data Types 00:03:00
Section 06: Control Flow Part 1
Control Flow Part 1 Section Overview 00:15:00
Intro to Control Flow 00:01:00
Basic Conditional Statements 00:14:00
More Conditional Statements 00:05:00
For Loops 00:10:00
While Loops 00:12:00
Section 07: Control Flow Part 2
Control Flow Part 2 Section Overview 00:02:00
Break Statements 00:08:00
Continue Statements 00:05:00
Zip Function 00:07:00
Enumerate Function 00:04:00
List Comprehension 00:04:00
Section 08: Python Functions
Python Functions Section Overview 00:03:00
Intro to Functions 00:02:00
Python help Function 00:03:00
Defining Functions 00:09:00
Variable Scope 00:08:00
Doc Strings 00:04:00
Section 09: User Input and Error Handling
User Input and Error Handling Section Overview 00:02:00
Introduction to error handling 00:03:00
User Input 00:04:00
Syntax Errors 00:04:00
Exceptions 00:11:00
Handling Exceptions Part 1 00:08:00
Handling Exceptions Part 2 00:08:00
Section 10: Python Advanced Functions
Python Advanced Functions Section Overview 00:05:00
Lambda Functions 00:05:00
Functions args and kwargs 00:10:00
Iterators 00:05:00
Generators and Yield 00:12:00
Map Function 00:14:00
Filter Function 00:08:00
Section 11: Python Scripting and Libraries
Python Scripting and Libraries Section Overview 00:05:00
What is a script 00:01:00
What is an IDE 00:17:00
What is a text editor? 00:12:00
From Jupyter Notebook to VScode Part 1 00:15:00
From Jupyter Notebook to VScode Part 2 00:05:00
Importing Scripts 00:03:00
Standard Libraries 00:04:00
Third Party Libraries 00:06:00
Section 12: NumPy
NumPy Section Overview 00:04:00
Intro to NumPy 00:04:00
Why use NumPy? 00:04:00
NumPy Arrays 00:10:00
Reshaping, Accessing, and Modifying 00:07:00
Slicing and Copying 00:06:00
Inserting, Appending, and Deleting 00:10:00
Array Logical Indexing 00:04:00
Broadcasting 00:08:00
Section 13: Pandas
Intro to Pandas 00:17:00
Pandas Series 00:17:00
Pandas Series Manipulation 00:17:00
Pandas DataFrame 00:17:00
Pandas DataFrame Manipulation 00:13:00
Dealing with Missing Values 00:10:00
Section 14: Introduction to OOP
Functional vs OOP 00:06:00
OOP Key Definitions 00:04:00
Create your First Class 00:12:00
How to Create and Use Objects 00:06:00
How to Modify Attributes 00:12:00
Section 15: Advanced OOP
Python Decorators 00:27:00
Property Decorator 00:09:00
Class Method Decorator 00:07:00
Static Methods 00:10:00
Inheritance from A to Z 00:21:00
Section 16: Starting a Career in Python
Python Career Section Overview 00:06:00
Getting Started with Freelancing 00:09:00
Building A Brand 00:12:00
Personal Branding 00:01:00
Importance of Having Website/Blog 00:04:00
Do’s and Don’ts of Networking 00:06:00
Top Freelance Websites 00:08:00
Creating A Python Developer Resume 00:06:00

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