Python Programming: Beginner To Expert

Overview

Our comprehensive program is meticulously crafted to equip you with the essential skills and knowledge required to thrive in your chosen field. Developed by seasoned professionals with years of industry experience, this course is ideal for those seeking to kickstart their careers or enhance their existing skill set.

Featuring an engaging audio-visual presentation and easily digestible modules, our program facilitates a self-paced learning experience. Our dedicated online support team is available on weekdays to provide assistance throughout your journey.

Key Learning Outcomes

Grasp the fundamentals and their practical applications.
Cultivate the necessary skills for success in your field.
Apply newfound knowledge to real-world scenarios.
Develop effective solutions for relevant topics.
Elevate your employability and career prospects.

Course Curriculum

Module 01: Intro To Python Section Overview
Module 02: What is Python Programming
Module 03: Who is This Course For
Module 04: Python Programming Marketplace
Module 05: Python Job Opportunities
Module 06: How To Land a Python Job Without a Degree
Module 07: Python Programmer Job Roles
Module 08: Python from A-Z Course Structure
Module 09: Getting Familiar with Python Section Overview
Module 10: Installing Python on Windows
Module 11: Anaconda and Jupyter Notebooks Part 1
Module 12: Anaconda and Jupyter Notebooks Part 2
Module 13: Comments
Module 14: Python Syntax
Module 15: Line Structure
Module 16: Line Structure Exercise
Module 17: Joining Lines
Module 18: Multiple Statements on a Single Line
Module 19: Indentation
Module 20: Basic Data Types Section Overview
Module 21: String Overview
Module 22: String Manipulation
Module 23: String Indexing
Module 24: String Slicing
Module 25: Printing
Module 26: Python Variables
Module 27: Integers and Floats
Module 28: Booleans
Module 29: Mini Project 1 : Letter Counter
Module 30: Python Operators Section Overview
Module 31: Comparison Operators
Module 32: Arithmetic Operators
Module 33: Assignment Operators
Module 34: Logical Operators
Module 35: Identity Operators
Module 36: Membership Operators
Module 37: Bitwise Operators
Module 38: Python Advanced Data Types Section Overview
Module 39: Sets
Module 40: List Overview
Module 41: List Slicing and Indexing
Module 42: Tuples
Module 43: Dictionaries
Module 44: When to use each one?
Module 45: Compound Data Types
Module 46: Control Flow Part 1 Section Overview
Module 47: Intro to Control Flow
Module 48: Basic Conditional Statements
Module 49: More Conditional Statements
Module 50: For Loops
Module 51: While Loops
Module 52: Control Flow Part 2 Section Overview
Module 53: Break Statements
Module 54: Continue Statements
Module 55: Zip Function
Module 56: Enumerate Function
Module 57: List Comprehension
Module 58: Python Functions Section Overview
Module 59: Intro to Functions
Module 60: Python help Function
Module 61: Defining Functions
Module 62: Variable Scope
Module 63: Doc Strings
Module 64: User Input and Error Handling Section Overview
Module 65: Introduction to error handling
Module 66: User Input
Module 67: Syntax Errors
Module 68: Exceptions
Module 69: Handling Exceptions Part 1
Module 70: Handling Exceptions Part 2
Module 71: Python Advanced Functions Section Overview
Module 72: Lambda Functions
Module 73: Functions args and kwargs
Module 74: Iterators
Module 75: Generators and Yield
Module 76: Map Function
Module 77: Filter Function
Module 78: Python Scripting and Libraries Section Overview
Module 79: What is a script
Module 80: What is an IDE
Module 81: What is a text editor?
Module 82: From Jupyter Notebook to VScode Part 1
Module 83: From Jupyter Notebook to VScode Part 2
Module 84: Importing Scripts
Module 85: Standard Libraries
Module 86: Third Party Libraries
Module 87: Accordion Content NumPy Section Overview
Module 88: Intro to NumPy
Module 89: Why use NumPy?
Module 90: NumPy Arrays
Module 91: Reshaping, Accessing, and Modifying
Module 92: Slicing and Copying
Module 93: Inserting, Appending, and Deleting
Module 94: Array Logical Indexing
Module 95: Broadcasting
Module 96: Intro to Pandas
Module 97: Pandas Series
Module 98: Pandas Series Manipulation
Module 99: Pandas DataFrame
Module 100: Pandas DataFrame Manipulation
Module 101: Dealing with Missing Values
Module 102: Functional vs OOP
Module 103: OOP Key Definitions
Module 104: Create your First Class
Module 105: How to Create and Use Objects
Module 106: How to Modify Attributes
Module 107: Python Decorators
Module 108: Property Decorator
Module 109: Class Method Decorator
Module 110: Static Methods
Module 111: Inheritance from A to Z
Module 112: Python Career Section Overview
Module 113: Getting Started with Freelancing
Module 114: Building A Brand
Module 115: Personal Branding
Module 116: Importance of Having Website/Blog
Module 117: Doâ€™s and Donâ€™ts of Networking
Module 118: Top Freelance Websites
Module 119: Creating A Python Developer Resume

Designed to give you a competitive edge in the job market, this course offers lifetime access to materials and the flexibility to learn at your own pace, from the comfort of your home.

Why Choose Us?

Learn at your own pace with 24/7 online access to course materials.
Benefit from full tutor support available Monday through Friday.
Acquire essential skills in the convenience of your home through informative video modules.
Enjoy 24/7 assistance and advice via email and live chat.
Study on your preferred device – computer, tablet, or mobile.
Gain a thorough understanding of the course content.
Improve professional skills and earning potential upon completion.
Access lifetime course materials and expert guidance.
Enjoy the convenience of online learning with flexible schedules.

Why Enroll in This Course?

Our program provides a comprehensive introduction to the subject matter, laying a solid foundation for further study. It empowers students to acquire knowledge and skills applicable to both their professional and personal lives.

Assessment

The course incorporates quizzes to evaluate your understanding and retention of the material. These quizzes pinpoint areas for further practice, allowing you to review course materials as needed. Successfully passing the final quiz qualifies you for a certificate of achievement.

Requirements

There are no formal requirements for this course, it is open to anyone who is interested in learning the material.

Career Path

Our course is meticulously designed to equip you for success in your chosen field. Upon completion, you’ll have the qualifications to pursue diverse career opportunities across various industries.