Data, AI, and Cloud Courses

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

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn how to pull character strings apart, put them back together and use the stringr package.

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

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

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

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

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

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

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

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Get to grips with the foundational components of LangChain agents and build custom chat agents

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

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

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

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

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

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

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.

Learn to build pipelines that stand the test of time.

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

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

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

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

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

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

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Learn how to prepare and organize your data for predictive analytics.