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Data Science Academy from Coursera

Fast track digital transformation with data literacy for everyone and advanced learning for data-first teams.
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AXA
P&G
Exelon
Signify
L'OREAL
Danone
Tata

The Data Science Academy is the complete skill development solution for data-driven organizations. Upskill your teams with beginner, intermediate, and advanced learning from top universities and industry leaders.

Implement world-class data learning that delivers results for learners at all levels

Right skills for every role

Right skills for every role

Match your employees with most relevant data skills they need to excel

Ready-made learning design

Ready-made learning design

Pre-designed collections create turnkey learning plans for a variety of teams

Unmatched teaching quality

Unmatched teaching quality

Guided projects and instruction by top companies and universities

Real-time skill measurement

Real-time skill measurement

Track the skill mastery of learners across core data concepts like statistics & ML

Taught by industry leaders in data science

Andrew Ng

Andrew Ng

Professor of Computer Science, Stanford University

Charles Severance

Charles Severance

Professor, Computer Science
University of Michigan

Jana Schaich Borg

Jana Schaich Borg

Assistant Research Professor & Neuroscientist, Duke University

Scott Rixner

Scott Rixner

Professor of Computer Science, Rice University

Ilkay Altintas

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

Goal-based data learning with Target SkillSets

Data-Driven Decision Maker

  • Duke University
  • University of Illinois at Urbana-Champaign
  • University of Michigan
  • Johns Hopkins University
  • UC Davis

Sample Courses:

  • Business Metrics for Data-Driven Companies
  • Business Analytics Executive Overview
  • Model Thinking
  • A Crash Course in Data Science
Beginners

AI-Aware Professional

  • Yonsei University
  • deeplearning.ai
  • IBM
  • Google Cloud
  • Johns Hopkins University

Sample Courses:

  • Big Data Emerging Technologies
  • AI for Everyone
  • Introduction to Artificial Intelligence (AI)
  • Machine Learning for Business Professionals
Beginners

SQL-Proficient Data Analyst

  • Duke University
  • University of California, Davis
  • IBM
  • Cloudera

Sample courses:

  • Managing Big Data with MySQL
  • Foundations for Big Data Analysis with SQL
  • Managing Big Data in Clusters and Cloud Storage
  • Data Wrangling, Analysis and AB Testing with SQL
Intermediate

Python-Proficient Data Analyst

  • University of Michigan
  • IBM

Sample courses:

  • Applied Machine Learning in Python
  • Inferential Statistical Analysis with Python
  • Introduction to Data Science in Python
  • Project: Image Compression with K-Means Clustering
Advanced

NLP Specialized Data Scientist

  • National Research University Higher School of Economics (HEC)
  • Google Cloud
  • IBM
  • University of Colorado System
  • University of Illinois at Urbana-Champaign

Sample courses:

  • Introduction to Deep Learning
  • Natural Language Processing
  • Getting Started with AI using IBM Watson
  • Building AI Powered Chatbots Without Programming
Intermediate

TensorFlow-Proficient ML Engineer

  • National Research University Higher School of Economics (HEC)
  • Google Cloud
  • University of Michigan
  • Alberta Machine Intelligence Institute
  • Duke University

Sample courses:

  • Introduction to Applied Machine Learning
  • How Google does Machine Learning
  • Natural Language Processing in TensorFlow
  • Project: Basic Image Classification with TensorFlow
Intermediate

AWS-Proficient ML Engineer

  • Amazon Web Services

Sample courses:

  • AWS Computer Vision: Getting Started with GluonCV
  • Getting Started with AWS Machine Learning
Intermediate

Big Data Specialized Data Engineer

  • University of California San Diego (UCSD)
  • Cloudera
  •  Relational Database Support for Data Warehouses University of Colorado System

Sample courses:

  • Big Data Modeling and Management Systems
  • Graph Analytics for Big Data
  • Relational Database Support for Data Warehouses
  • Managing Big Data in Clusters and Cloud Storage
Advanced

Business Intelligence Specialized Data Engineer

  • University of Colorado System

Sample courses:

  • Relational Database Support for Data Warehouses
  • Business Intelligence Concepts, Tools, and Applications
Advanced

Data-Driven Marketer

  • University of California, Davis (UC Davis)
  • University of Illinois at Urbana-Champaign
  • Duke University
  • IBM

Sample courses:

  • Fundamentals of Visualization with Tableau
  • Digital Analytics for Marketing Professionals
  • Business Metrics for Data-Driven Companies
  • Marketing Analytics
Beginners

Data-Driven Product Manager

  • University of Illinois at Urbana-Champaign
  • Duke University
  • IBM
  • University of California, Davis (UC Davis)

Sample courses:

  • Data Visualization
  • Business Metrics for Data-Driven Companies
  • Open Source tools for Data Science
  • SQL for Data Science
Intermediate

Data Analyst

  • University of Colorado System
  • University of California San Diego (UCSD)

Sample courses:

  • Basic Data Processing and Visualization
  • Predictive Modeling and Analytics
  • Business Analytics for Decision Making
  • Advanced Business Analytics Capstone
Beginners

Data Scientist

  • University of Michigan
  • University of Illinois
  • University of Colorado Boulder
  • IBM

Sample degrees and courses:

  • Master of Applied Data Science
  • Master of Science in Data Science
  • Applied Data Science Capstone
Intermediate

Data Engineer

  • École Polytechnique Fédérale de Lausanne
  • University of Michigan
  • University of California San Diego (UCSD)
  • University of Colorado System

Sample courses:

  • Big Data Analysis with Scala and Spark
  • Python Functions, Files, and Dictionaries
  • Machine Learning With Big Data
  • Relational Database Support for Data Warehouses
Intermediate

ML Engineer

  • National Research University Higher School of Economics (HSE)
  • University of Washington (UW)
  • Alberta Machine Intelligence Institute (AMII)
  • Google CLoud

Sample courses:

  • Master of Machine Learning & Data Science
  • Introduction to Applied Machine Learning
  • Data for Machine Learning
  • Optimizing Machine Learning Performance
Intermediate

Guided data science projects, in-browser

Learners can get hands-on and apply new data concepts using the latest technologies. With side-by-side interactive tutorials, learners can easily follow along with instructors. It’s all powered by cloud desktops—so no software installation is needed. 

Guided data science projects, in-browser

Measure skills developed by all your learners

Show impact and ROI by tracking your organization’s mastery of data skills from machine learning to statistical programming and data visualization. Rich dashboards provide insights about each learner’s skill proficiency over time.

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“Our partnership with Coursera gave our Analytics Academy instant scalability, credibility, and was a wow moment when we shared the perks we made available to participants of our program. Coursera offers the best and most relevant advanced analytics courses in the market.”

Coursera

Ankush Agarwal

Director, Advanced Analytics at Exelon

Learn how to build data mastery for your organization

Download the Guide to Target SkillSets for Data-Driven Organizations to learn about the skills key roles need to thrive—and how the Data Science Academy can get them there.