Data science courses

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

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

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

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

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

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

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

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

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

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

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

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

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