Python Training – Essential Foundations for Data Science

Module 1 – Introduction to Python

• Overview of Python and its key applications in analytics and scientific computing
• Installing Python and choosing a development environment (IDLE, VS Code, or Jupyter)
• Getting started with the Python console and running your first scripts

Module 2 – Core Programming Concepts

• Understanding variables, data types, and type conversion
• Working with strings, numbers, and booleans
• Essential arithmetic and logical operations

Module 3 – Control Flow Essentials

• Writing conditional statements (if, elif, else)
• Using loops effectively (for, while)
• Mastering indentation and clean coding practices

Module 4 – Functions and Script Structure

• Defining and calling functions
• Passing arguments and returning values
• Organizing your code into clear, reusable blocks

Module 5 – Introduction to Object-Oriented Programming (Optional)

• Understanding objects and their role in Python
• Creating simple classes and instances

Module 6 – Working with Files

• Reading and writing text files
• Processing data line by line for real-world tasks

Module 7 – Practical Workshop

• Building a small end-to-end program combining variables, loops, and functions
• Personalized feedback and improvement tips

Other course(s) in this category

→ Python Training – Essential Foundations for Data Science