Data Analysis with Python and SQL Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.
Project: Explore Weather Trends Estimated time: 7 days
Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
Project: Explore US Bikeshare Data Estimated time: 28 days
Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.
Project: Investigate a Dataset Estimated time: 30 days
Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.
Project: Analyze A/B Test Results Estimated time: 29 days
Project: Test a Perceptual Phenomenon Estimated time: 7 days
Learn to explore data at multiple levels using appropriate visualizations, acquire statistical knowledge for summarizing data, and develop intuition around a data set.
Project: Explore and Summarize Data Estimated time: 36 days
Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis.
Project: Wrangle and Analyze Data Estimated time: 28 days
Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.
Project: Create a Tableau Story Estimated time: 22 days