Why Data Skills?
Increase efficiency and innovation
Build foundational data literacy for your workforce. Upskill data teams with expert-level training in ML, AI and other emergent fields.
Projects are a demonstration of competency, because they bring application to life… When you can apply it, it sticks better
In-demand Data Skills
Build a data-informed organization
Deliver results and stay competitive with beginner and advanced level content, including 30+ LevelSet assessments to measure baseline skills and 60+ SkillSets to drive data proficiency across the entire organization.
Data Analysis for Everyone
Skills Acquired
- Probability & Statistics
- Data Visualization
- Data Analysis
Grow employee skills with recommended courses
- Excel Basics for Everyone
- Statistics for Data Science with Python
- Introduction to Predictive Modeling
In Partnership With
AI Basics for Everyone
Skills Acquired
- Machine Learning
- Data Management
- General Statistics
Grow employee skills with recommended courses
- Tools for Data Science
- Accounting Data Analytics
- Predictive Modeling and Analytics
In Partnership With
Data Visualization for Everyone
Skills Acquired
- Data Visualization
- Data Visualization Software
- Storytelling
Grow employee skills with recommended courses
- Introduction to Data Analytics
- Data Visualization with Python
- Data Visualization with R
In Partnership With
Expert Instruction
Learn from top data professors and business leaders
Access world-class learning experiences delivered by leading instructors and industry experts.
Andrew Ng
Professor of Computer Science at Stanford University
Charles Severance
Clinical Associate Professor, University of Michigan School of Information
Jana Schaich Borg
Assistant Research Professor and Neuroscientists, Duke University
Scott Rixner
Professor of Computer Science, Rice University
Ilkay Altintas
Chief Data Science Officer, San Diego Supercomputer Center
Hands-On Learning
Engage learners with interactive data training
Help your workforce quickly learn new data skills with side-by-side, interactive tutorials covering highly relevant data skills and tools. Example tutorials include:
- Data Visualization in Google Slides
- Creating a Python Application using MySQL
- Intro to Time Series Analysis in R
