Data, AI, and Cloud Courses

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

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

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

Learn to use the Census API to work with demographic and socioeconomic data.

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

Learn how to produce interactive web maps with ease using leaflet.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

Learn efficient techniques in pandas to optimize your Python code.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

This course is for R users who want to get up to speed with Python!

Learn to use the Bioconductor package limma for differential gene expression analysis.

Learn to build pipelines that stand the test of time.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Use survival analysis to work with time-to-event data and predict survival time.

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

In this course youll learn how to use data science for several common marketing tasks.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.