Data, AI, and Cloud Courses

Prepare for your next coding interviews in Python.

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

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

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

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

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

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

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

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

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.

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

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

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

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

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!

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

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

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

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

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

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

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

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

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

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Explore ways to work with date and time data in SQL Server for time series analysis

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.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.