Data, AI, and Cloud Courses

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Learn how to efficiently collect and download data from any website using R.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Discover how to use the income statement and balance sheet in Power BI

Master Amazon Redshifts SQL, data management, optimization, and security.

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

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

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

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

This course covers everything you need to know to build a basic machine learning monitoring system in Python

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

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

In this course youll learn how to perform inference using linear models.

Learn how to write recursive queries and query hierarchical data structures.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Learn how to develop deep learning models with Keras.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

In this course youll learn how to leverage statistical techniques for working with categorical data.