Data, AI, and Cloud Courses

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

Analyze text data in R using the tidy framework.

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Learn to design and run your own Monte Carlo simulations using Python!

Leverage the power of Python and PuLP to optimize supply chains.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Learn to build pipelines that stand the test of time.

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

Learn how to transform and analyze data within your Microsoft Fabric account

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

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

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

In this course youll learn about basic experimental design, a crucial part of any data analysis.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

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

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

Learn to build recommendation engines in Python using machine learning techniques.

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

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