Data science courses

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

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

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

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Leverage the power of Python and PuLP to optimize supply chains.

Create interactive data visualizations in Python using Plotly.

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

In this course you'll learn to use and present logistic regression models for making predictions.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

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!

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

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Learn how to efficiently collect and download data from any website using R.

Master the key concepts of data management, from life cycle stages to security and governance.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

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

Learn to streamline your machine learning workflows with tidymodels.

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

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

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

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

In this course you will learn to fit hierarchical models with random effects.

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

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

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

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

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.