Data, AI, and Cloud Courses

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

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

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

Analyze text data in R using the tidy framework.

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

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

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

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

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

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.

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 how to transform and analyze data within your Microsoft Fabric account

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.

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

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

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

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

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

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

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

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.

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

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.

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