Data, AI, and Cloud Courses

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

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

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn essential finance math skills with practical Excel exercises and real-world examples.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Learn how to work with streaming data using serverless technologies on AWS.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

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!

In this course, students will learn to write queries that are both efficient and easy to read and understand.

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

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

In this course you will learn to fit hierarchical models with random effects.

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

Learn how to detect fraud using Python.

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

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Analyze text data in R using the tidy framework.

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

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

Explore ways to work with date and time data in SQL Server for time series analysis

Visualize seasonality, trends and other patterns in your time series data.

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

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