Data science courses

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

Data-driven organizations consistently rely on insights to inspire action and drive change.

Learn the key concepts of data modeling on Power BI.

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

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

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

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

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

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

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

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

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

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

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

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.

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

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.

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

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

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

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

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.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.