Data science courses

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.

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

Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.

This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.

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

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

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

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

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

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

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

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

Learn about data science for managers and businesses and how to use data to strengthen your organization.

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

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

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

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

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

Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.

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

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.

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

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

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

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

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

Learn how to implement and schedule data engineering workflows.