Learn concepts and tools you will need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.
Designed to ensure you learn the fundamental skills to embark on a career as a Data Scientist.
A stellar team of academics at Harvard and Columbia, and industry practitioners at Cisco, Nokia Labs and Pitney Bowes.
Industry recognized certification enables you to add this credential to your resume upon completion of all courses.
Learn application of data science for Sports
Learn how data science applies to sports injuries and sports outcomes.
Instructor has worked with Tottenham Hotspur FC, of British Premiere League and teaches how data science applies to sports.
Certificate of completion can be added as credential to your resume or profile.
Kaitlin Hagan, Michael Parzen
From Basic to Advanced Applied Statistics using R
Kirill Eremenko, Leonid G, JP Labuschagne
10 Real-World Case-Studies to Master Data Visualization and Tableau
Learn the core topics of Machine Learning for Data Science and AI.
Using Non-Linear Models to Understand Data
Dr. Yogesh Kulkarni
Overcoming the Curse of Dimensionality
Ermin Dedic, Ermin Dedic
Prepare for SAS Base certification, or employment, as a SAS programmer.
Learn how to use SAS logistic regression for your predictive modeling needs.
Learn the art and science of telling compelling visual communications with data.
How to leverage spark for streaming and machine learning use cases.
Curriculum designed for enterprise-level clients with teams of up to 20. $12,000 for 20 people + $500 for each additional person.