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

Congratulations! You have successfully completed the “Getting Started with Python” module.

## Summary

In this module, we learned how to write simple programs without prior programming knowledge. We started with a brief introduction to data science, followed by getting hands-on experience writing basic programs (simple math, real-world problem solving, and writing solutions). Next, we covered decision-based solutions demonstrated via flowcharts and explained with execution sheets. We also covered the core programming components in Python and learned to translate our solutions into Python programs using variables, conditional statements, loops, strings, lists, and functions. Ultimately, we have the skills to design and execute our customized functions in Python.

## What's next?

Now that we have started to write programs and solve real-world problems in Python, we will cover Python essentials for data science in greater detail in the next module, “ Python Fundamentals.”


Congratulations! You have successfully completed the “Getting Started with Python” module.

# Summary

In this module, we learned how to write simple programs without prior programming knowledge. We started with a brief introduction to data science, followed by getting hands-on experience writing basic programs (simple math, real-world problem solving, and writing solutions). Next, we covered decision-based solutions demonstrated via flowcharts and explained with execution sheets. We also covered the core programming components in Python and learned to translate our solutions into Python programs using variables, conditional statements, loops, strings, lists, and functions. Ultimately, we have the skills to design and execute our customized functions in Python.

# What's next?

Now that we have started to write programs and solve real-world problems in Python, we will cover Python essentials for data science in greater detail in the next module, “ Python Fundamentals.”


Here's a quick summary of what we learned from the "Getting Started with Python" module.

What is Data Science

Problem Solving with Simple Programs

Decisions and Branching

Python Basics

Repetition with Loops

Strings and Lists

Functions

Complex Programs

Conclusion

Final Remarks

Summary