Course catalog

Creating Reports and Presentations with R Markdown and RStudio

Transform the findings from your data science projects into high-quality reports and presentations. Learn how to create interactive web experiences and printable PDFs.

Crossfilter for Data Science Essential Training

Need to slice up large and complex JavaScript data arrays with maximum speed and effectiveness? Learn how to use Crossfilter.js to group and filter data directly in a web browser.

Cryptocurrency Foundations

Learn the basics of bitcoin and other cryptocurrency, including how they are created and mined.

Data Analytics for Business Professionals

Learn how to use data analytics to make better business decisions and gain competitive advantage. This fast-paced introduction is ideal for managers and executives.

Data Analytics for Students

Analytics is such a broad topic that it's hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions.

Data Curation Foundations

Add data curation to your data science tool kit. Learn how to develop curation files to document information about datasets and related business processes.

Data Fluency: Exploring and Describing Data

Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.

Data Ingestion with Python

Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms.

Data Rights Foundations

Learn what rights you have to your own data—and what responsibilities businesses and institutions have to protect and respect those rights.

Data Science & Analytics Career Paths & Certifications: First Steps

Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.

Data Science Foundations: Choosing the Right Database

Discover how to select the right database for your data science project. Learn about the strengths and weaknesses of different database technologies and review specific use cases.

Data Science Foundations: Data Assessment for Predictive Modeling

Explore the data understanding phase of the CRISP-DM methodology for predictive modeling. Find out how to collect, describe, explore, and verify data.

Data Science Foundations: Data Engineering

Discover the basics of big data with a data science expert. Learn about how to perform core data engineering tasks including staging, profiling, cleansing, and migrating data.

Data Science Foundations: Fundamentals

Get a basic introduction to the careers, tools, and techniques of modern data science.

Data Science Foundations: Python Scientific Stack

Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more.