Learn to design, develop, and execute basic programs in Python.

Zero to Hero in Python for Data Science

This module provides a comprehensive introduction to the tools that help create various programs, such as documents, movies, and games. We'll start with a brief introduction to data science, followed by simple math, real-world problem solving, and precise writing solutions. Next, we'll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, we'll learn to translate our solutions into Python programs using variables, conditional statements, loops, strings, lists, and built-in functions. We'll also learn to create our custom functions in Python. After completing this module, we will have acquired the skills to write basic programs in Python.

Understanding Data Science with a focus on Python

# The process of problem solving
The four stages of problem solving are listed below:
1. **Analyze:** Understand the available resources and constraints of a problem.
2. **Plan:** Write the steps that solve the problem in the form of a program. This is the plan of action that will solve the problem.
3. **Implement:** Execute a computer program to obtain the results.
4. **Evaluate:** Match the results of the program with the desired output to determine success.
 



Learn to create a simple sequential program and execute it.


Simple Program and Execution Sheet

Learn to create a simple sequential program and execute it.

What is Data Science

Problem Solving with Simple Programs

Decisions and Branching

Python Basics

Repetition with Loops

Strings and Lists

Functions

Complex Programs

Conclusion

Simple Program and Execution Sheet

The process of problem solving