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!
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.
Python Data Science Toolbox (Part 2)
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Data Types for Data Science in Python
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Writing Efficient Python Code
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Regular Expressions in Python
Learn about string manipulation and become a master at using regular expressions.
Web Scraping in Python
Learn to retrieve and parse information from the internet using the Python library scrapy.
Writing Functions in Python
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Data Structures and Algorithms in Python
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Introduction to Shell
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Introduction to Git
Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.
Software Engineering Principles in Python
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Developing Python Packages
Learn to create your own Python packages to make your code easier to use and share with others.
Unit Testing for Data Science in Python
Learn how to write unit tests for your Data Science projects in Python using pytest.