Data science courses

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Learn to combine data from multiple tables by joining data together using pandas.

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

Improve your Python data importing skills and learn to work with web and API data.

This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Learn how to analyze a SQL table and report insights to management.

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.