Data, AI, and Cloud Courses

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

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

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

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

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

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.

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

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

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

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

Learn to build pipelines that stand the test of time.

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

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

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

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

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

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Learn efficient techniques in pandas to optimize your Python code.

Explore HR data analysis in Tableau with this case study.

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

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

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

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

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

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

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

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

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

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