Course Highlights
Are you looking to develop a solid foundation in Python Programming and take your career to the next level? Our comprehensive Python Programming Complete Training course is the perfect solution. Designed by industry experts, this course provides a step-by-step approach to mastering the essential skills and knowledge needed to excel in Python Programming Complete Training. Whether you’re a beginner or an experienced professional, this course will help you understand the key concepts, tools, and techniques used in the field.
Throughout the Python Programming Complete Training course, you’ll gain valuable experience with exercises that will reinforce your learning. Our course module will help you better understand Python Programming Complete Training, ensuring you grasp the fundamental principles and advanced strategies. You’ll also have the opportunity to network with fellow learners and industry professionals, enhancing your learning experience and career prospects.
By the end of the course, you’ll be well-equipped to take on professional roles in Python Programming. You’ll have a solid foundation of knowledge that will make you a valuable asset to any organisation. Plus, you’ll be able to showcase your skills and achievements on your resume, giving you a competitive edge in the job market. Join us today and start your journey to consistent profits and career success with our Python Programming Complete Training course.
Learning outcome
- - Develop a strong understanding of the core concepts in Python Programming.
- - Gain valuable learning experience with exercises.
- - Understand relevant job roles and their responsibilities in Python Programming.
- - Enhance your resume with valuable skills and knowledge.
- - Improve your problem-solving and critical-thinking abilities.
- - Prepare for a successful career in Python Programming.
- - Achieve consistent profits and professional growth.
Why should I take this course?
- - Learn from seasoned industry experts with deep experience in Python Programming.
- - Boost your resume and differentiate yourself in the competitive job market.
- - Develop a comprehensive understanding and solid foundation in Python Programming.
- - Equip yourself for a variety of professional roles in the field.
- - Achieve steady profits and significant career growth.
- - Upon completing this Python Programming Complete Training, you'll receive a CPD QS Accredited certificate of completion (additional certificate fees apply).
Requirements
- - No prior experience in Python Programming is required.
- - Basic computer skills and internet access.
- - A willingness to learn and apply new concepts.
Course Curriculum
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Intro To Python Section Overview
00:06:00 -
What is Python Programming?
00:10:00
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Who is This Course For?
00:05:00
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Python Programming Marketplace
00:06:00
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Python Job Opportunities
00:05:00
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How To Land a Python Job Without a Degree
00:08:00
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Python Programmer Job Roles
00:09:00
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Python from A-Z Course Structure
00:04:00
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Getting Familiar with Python Section Overview
00:06:00
-
Installing Python on Windows
00:10:00
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Anaconda and Jupyter Notebooks Part 1
00:08:00
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Anaconda and Jupyter Notebooks Part 2
00:16:00
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Python Syntax
00:02:00
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Line Structure
00:03:00
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Line Structure Exercise
00:07:00
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Comments
00:05:00
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Joining Lines
00:05:00
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Multiple Statements on a Single Line
00:05:00
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Indentation
00:08:00
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Basic Data Types Section Overview
00:08:00
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Python Variables
00:08:00
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Integers and Floats
00:08:00
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String Overview
00:10:00
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String Manipulation
00:07:00
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String Indexing
00:04:00
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String Slicing
00:08:00
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Boolean
00:05:00
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Printing
00:10:00
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Mini Project 1 : Letter Counter
00:20:00
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Python Operators Section Overview
00:04:00
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Arithmetic Operators
00:08:00
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Comparison Operators
00:09:00
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Logical Operators
00:13:00
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Identity Operators
00:05:00
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Membership Operators
00:02:00
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Bitwise Operators
00:08:00
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Python Advanced Data Types Section Overview
00:11:00
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List Overview
00:05:00
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List Slicing and Indexing
00:04:00
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Tuples
00:02:00
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Sets
00:06:00
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Dictionaries
00:11:00
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When to use each one?
00:05:00
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Compound Data Types
00:03:00
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Control Flow Part 1 Section Overview
00:15:00
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Intro to Control Flow
00:01:00
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Basic Conditional Statements
00:14:00
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More Conditional Statements
00:05:00
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For Loops
00:10:00
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While Loops
00:12:00
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Control Flow Part 2 Section Overview
00:02:00
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Break Statements
00:08:00
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Continue Statements
00:05:00
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Zip Function
00:07:00
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Enumerate Function
00:04:00
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List Comprehension
00:04:00
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Python Functions Section Overview
00:03:00
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Intro to Functions
00:02:00
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Python help Function
00:03:00
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Defining Functions
00:09:00
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Variable Scope
00:08:00
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Doc Strings
00:04:00
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User Input and Error Handling Section Overview
00:02:00
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Introduction to error handling
00:03:00
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User Input
00:04:00
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Syntax Errors
00:04:00
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Exceptions
00:11:00
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Handling Exceptions Part 1
00:08:00
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Python Advanced Functions Section Overview
00:05:00
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Lambda Functions
00:05:00
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Functions args and kwargs
00:10:00
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Iterators
00:08:00
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Generators and Yield
00:12:00
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Map Function
00:14:00
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Python Scripting and Libraries Section Overview
00:05:00
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What is a script?
00:01:00
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What is an IDE?
00:17:00
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What is a text editor?
00:12:00
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From Jupyter Notebook to VScode Part 1
00:15:00
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Importing Scripts
00:03:00
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Standard Libraries
00:04:00
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Third Party Libraries
00:06:00
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NumPy Section Overview
00:04:00
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Why use NumPy?
00:04:00
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NumPy Arrays
00:10:00
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Reshaping, Accessing, and Modifying
00:07:00
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Slicing and Copying
00:06:00
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Inserting, Appending, and Deleting
00:10:00
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Array Logical Indexing
00:04:00
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Broadcasting
00:08:00
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Intro to Pandas
00:17:00
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Pandas DataFrame
00:17:00
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Pandas DataFrame Manipulation
00:13:00
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Dealing with Missing Values
00:10:00
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Functional vs OOP
00:06:00
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OOP Key Definitions
00:04:00
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Create your First Class
00:12:00
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How to Create and Use Objects
00:06:00
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How to Modify Attributes
00:12:00
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Python Decorators
00:27:00
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Class Method Decorator
00:07:00
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Static Methods
00:10:00
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Inheritance from A to Z
00:21:00
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Getting Started with Freelancing
00:09:00
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Building A Brand
00:12:00
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Personal Branding
00:13:00
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Importance of Having Website/Blog
00:04:00
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Do’s and Don’ts of Networking
00:06:00
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Creating A Python Developer Resume
00:06:00
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Duration:14 hours, 2 minutes
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Access:1 Year
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Units:109
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