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.

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

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

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

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.

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

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

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

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

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

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

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

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.

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

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

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

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

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.

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

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

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

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

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

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

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

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