Python for Data Science: From the Basics to Advanced
This free data science and programming course breaks down the fundamentals of Python and its two key libraries, NumPy and Pandas. No subscriptions fees.
Python is one of the best and fastest-growing programming languages used in data analysis worldwide. This free online course shows you how to apply the fundamental programming concepts of Python such as looping, variables, data types and data structures to data science. It also explores the NumPy and Pandas libraries that will help you further manipulate, analyze and visualize data in Python.
What You Will Learn In This Free Course
Python Fundamentals
In this module, you will be introduced to the Python programming language and the Jupyter Notebook interface. You will gain an understanding of how and when to use the inline and block comments on your codes. Furthermore, you will learn about variables and data types in Python as well as how to create and work with functions.
Python Libraries
In this module, you will learn about the NumPy and Pandas Python libraries. You will be taught how to create and shape arrays as well as how to select items from an array using NumPy indexing and NumPy slicing. This module will explore the various functions in NumPy such as the reshape function, append function, insert function and more.
Course assessment