Data, AI, and Cloud Courses

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

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

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

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

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

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

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

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

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

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

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

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Master data modeling in Power BI.

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

Discover branches and remote repos for version control in collaborative software and data projects using Git!

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 how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

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

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.

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

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