Data science courses

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.

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

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

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

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

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

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

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

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

Discover the fundamentals of Git for version control in your software and data projects.

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

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

Take your Tableau skills up a notch with advanced analytics and visualizations.

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

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

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

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

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

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

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

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

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

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

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

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.

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.