Data, AI, and Cloud Courses

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

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

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

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

Learn how to load, transform, and transcribe speech from raw audio files in Python.

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

Learn the bag of words technique for text mining with R.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn to build pipelines that stand the test of time.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

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

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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

In this course youll learn how to leverage statistical techniques for working with categorical data.

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

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

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

Learn efficient techniques in pandas to optimize your Python code.

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

In this course youll learn techniques for performing statistical inference on numerical data.

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

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 how to access financial data from local files as well as from internet sources.

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!