Data, AI, and Cloud Courses

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

Build AI teams that work together, automate workflows, and generate content with CrewAI.

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

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

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

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

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

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

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

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

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

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

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

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

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

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

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

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

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

Azure Security

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

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

Learn to process sensitive information with privacy-preserving techniques.

Learn to easily summarize and manipulate lists using the purrr package.

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

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

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