Data, AI, and Cloud Courses

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

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

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

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

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

Azure Security

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

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

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

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

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

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

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

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

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.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

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

Learn to streamline your machine learning workflows with tidymodels.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

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