Data, AI, and Cloud Courses

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Using Python and NumPy, learn the most fundamental financial concepts.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

In this course, youll learn the basics of relational databases and how to interact with them.

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.