Python for Career Change: Core Skills in 7 Hours

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.

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