A fast-paced, hands-on course designed to equip career changers with essential Python skills for data analysis, automation, and web development in just 7 hours.
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Python Fundamentals: Syntax, Data Types, and Operators
Unit 1: Introduction to Python Syntax and Variables
Unit 2: Python's Data Types
Unit 3: Operators in Python
Data Structures: Lists, Tuples, Sets, and Dictionaries
Unit 1: Lists: The Versatile Container
Unit 2: Tuples: Immutable Sequences
Unit 3: Sets: Unique and Unordered Collections
Unit 4: Dictionaries: Key-Value Pairs
Control Flow: Conditional Statements and Loops
Unit 1: Conditional Statements: Making Decisions
Unit 2: For Loops: Iterating Over Sequences
Unit 3: While Loops: Repeating Until a Condition is Met
Functions and Modules: Code Reusability
Unit 1: Defining and Calling Functions
Unit 2: Function Scope and Advanced Arguments
Unit 3: Modules and Packages
Introduction to NumPy: Numerical Computing
Unit 1: NumPy Fundamentals
Unit 2: Array Creation and Manipulation
Unit 3: Array Operations and Functions
Introduction to pandas: Data Analysis
Unit 1: Pandas Fundamentals: Series and DataFrames
Unit 2: Loading Data and Basic DataFrame Operations
Unit 3: Data Manipulation: Filtering, Sorting, and Grouping
Object-Oriented Programming (OOP): Classes and Objects
Unit 1: Introduction to Object-Oriented Programming
Unit 2: Working with Classes and Objects
Unit 3: Advanced OOP Concepts
Error Handling: Try-Except Blocks
Unit 1: Introduction to Error Handling
Unit 2: Advanced Error Handling Techniques
Unit 3: Best Practices and Practical Applications
Version Control with Git: Collaboration and Tracking
Unit 1: Introduction to Version Control and Git
Unit 2: Basic Git Commands
Unit 3: Collaboration with Remote Repositories
Putting It All Together: A Practical Project
Unit 1: Project Setup and Planning
Unit 2: Core Project Implementation
Unit 3: Enhancements, Documentation, and Version Control