Data, AI, and Cloud Courses

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

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

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

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

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

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

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

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

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

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

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

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!

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

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

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

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

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

Learn efficient techniques in pandas to optimize your Python code.

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

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

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.

Learn to build pipelines that stand the test of time.

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

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

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

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

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