Data, AI, and Cloud Courses

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

In this course, youll learn the basics of relational databases and how to interact with them.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.