Introduction to Python Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy. 4 hours
Intermediate Python for Data Science Level up your data science skills by creating visualizations using matplotlib and manipulating data frames with Pandas. 4 hours
Python Data Science Toolbox (Part 1) Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling. 3 hours Play preview
Importing Data in Python (Part 1) Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web. 3 hours Play preview
Importing Data in Python (Part 2) Improve your Python data importing skills and learn to work with web and API data. 2 hours Play preview
Cleaning Data in Python This course will equip you with all the skills you need to clean your data in Python. 4 hours Play preview
pandas Foundations Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames. 4 hours Play preview
Manipulating DataFrames with pandas You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames. 4 hours Play preview
Merging DataFrames with pandas This course is all about the act of combining, or merging, DataFrames, an essential part your Data Scientist's toolbox. 4 hours Play preview
Introduction to Databases in Python In this course, you'll learn the basics of relational databases and how to interact with them. 4 hours Play preview
Introduction to Data Visualization with Python Learn more complex data visualization techniques using Matplotlib and Seaborn. 4 hours Play preview
Statistical Thinking in Python (Part 1) Build the foundation you need to think statistically and to speak the language of your data. 3 hours Play preview
Statistical Thinking in Python (Part 2) Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing. 4 hours Play preview