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

# Data Science hype
When Harvard Business Review stated in 2012 that, "the shortage of data scientists is becoming a serious constraint in some sectors," they also said that the title had been around for only a few years. The term *Data Science* has been used interchangeably for statistics, analytics, business analytics, and business intelligence. We have heard differing views on it. So, what actually is Data Science?


**Data Science** is simply the study of data. It is a multi-disciplinary field that aims to extract knowledge and insights from structured and unstructured data. It makes use of statistical and mathematical methods, computer science tools, and knowledge from related fields in order to draw conclusions from the data and make decisions and predictions based on these conclusions.  

This lesson will demystify the term data science and explain what data science as a discipline aims to do.

The Buzzword "Data Science"

Data Science hype