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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 to combine data from multiple tables by joining data together using pandas.
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
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 diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!
Master data modeling in Power BI.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
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 in R.