Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.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 how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Learn to combine data from multiple tables by joining data together using pandas.
Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
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!
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Master data modeling in Power BI.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.