Introduction to Python
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Investigating Netflix Movies
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Data Manipulation with pandas
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Exploring NYC Public School Test Result Scores
Use data manipulation and summary statistics to analyze test scores across New York City's public schools!
Joining Data with pandas
Learn to combine data from multiple tables by joining data together using pandas.
Introduction to Statistics in Python
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Introduction to Data Visualization with Seaborn
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Visualizing the History of Nobel Prize Winners
Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Exploratory Data Analysis in Python
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Analyzing Crime in Los Angeles
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
Sampling in Python
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Hypothesis Testing in Python
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Prepare for certification by completing this track, or target the lessons you need with a personal learning plan.Learn More