Perform and innovate more with data

Enable your employees to analyze and interpret data to drive faster, better business decisions and discover new ideas with the Data & Analytics Academy.

55%
of CEOs believe that a lack of key skills hinders the ability to innovate.
Source: PwC Global CEO Survey, 2020

Why Data Skills?

Increase efficiency and innovation

Build foundational data-literacy for all employees at every level. Upskill data teams with expert-level training in ML, AI and other emergent fields.

Why Data Skills?

In-demand Data Skills

Incorporate the most job-relevant, effective, and highest-rated content

60+ SkillSets to help power critical upskilling and reskilling in core finance, automation, and data analysis skills in order to drive sustained growth within your organization. 30+ LevelSets to help learners find the right starting point in their learning journey and assess key gaps in accounting, blockchain, business analysis, risk management and more

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

  • ashok-leyland-logo
  • University of Minnesota
  • Duke University
  • Google leader logo
  • Rutgers logo

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

  • ashok-leyland-logo
  • Rutgers logo
  • University of Colorado Boulder
  • University of Michigan
  • illinios

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

  • ashok-leyland-logo
  • Google leader logo
  • Duke University
  • University of California Irvine Course Logo

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 employees 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
Student taking course on laptop

Measurement and Benchmarking

Track the success of your learning investment

Understand how well employees are acquiring the data skills your business needs in statistics, machine learning, data analysis and more, and build stronger competitive intelligence by understanding how your talent’s skill profiles compare against your industry.

Two coworkers reviewing data reports

Enhance innovation and results with data

Let’s work together to build data proficiency across your organization

Upskilling a small team?

Check out Coursera for Teams