Introduction to Python Programming
A beginner-friendly guide to getting started with Python programming, covering how Python works, basic syntax, variables, and input/output.
Data Types and Structures in Python
Learn about Python's core data structures like lists, tuples, dictionaries, sets, and pandas DataFrames, and how to use them effectively for data manipulation.
Dates and Times in Python
Handling and manipulating date and time data for time-series analysis using Python's built-in datetime module and libraries.
Control Flow in Python
Learn about conditionals, loops, and exception handling to control the flow of execution in Python programs.
Writing Functions and Modules in Python
Best practices for creating reusable code in Python for data science projects.
List and Dictionary Comprehensions
Writing efficient code using comprehensions to manipulate data collections in Python.
File Handling in Python
Learn how to read from and write to common file formats such as CSV, Excel, and JSON in Python, which are crucial for data ingestion and storage in data science.
Object-Oriented Programming in Python
Understanding OOP principles and how to apply them in Python for structured data science projects.