Data science courses

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

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

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

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

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.

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

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

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

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

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

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

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

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

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn efficient techniques in pandas to optimize your Python code.

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

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

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

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

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

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

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

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.

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

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

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

Learn to build pipelines that stand the test of time.