Match your employees with most relevant data skills they need to excel
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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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
Ready-made learning design
Pre-designed collections create turnkey learning plans for a variety of teams
Unmatched teaching quality
Guided projects and instruction by top companies and universities
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
Professor of Computer Science, Stanford University
Charles Severance
Professor, Computer Science
University of Michigan
Jana Schaich Borg
Assistant Research Professor & Neuroscientist, Duke University
Scott Rixner
Professor of Computer Science, Rice University
Ilkay Altintas
Chief Data Science Officer
San Diego Supercomputer Center
Goal-based data learning with Target SkillSets
Data-Driven Decision Maker
Sample Courses:
- Business Metrics for Data-Driven Companies
- Business Analytics Executive Overview
- Model Thinking
- A Crash Course in Data Science
Beginners
AI-Aware Professional
Sample Courses:
- Big Data Emerging Technologies
- AI for Everyone
- Introduction to Artificial Intelligence (AI)
- Machine Learning for Business Professionals
Beginners
SQL-Proficient Data Analyst
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
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
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
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
Sample courses:
- AWS Computer Vision: Getting Started with GluonCV
- Getting Started with AWS Machine Learning
Intermediate
Big Data Specialized Data Engineer
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
Sample courses:
- Relational Database Support for Data Warehouses
- Business Intelligence Concepts, Tools, and Applications
Advanced
Data-Driven Marketer
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
Sample courses:
- Data Visualization
- Business Metrics for Data-Driven Companies
- Open Source tools for Data Science
- SQL for Data Science
Intermediate
Data Analyst
Sample courses:
- Basic Data Processing and Visualization
- Predictive Modeling and Analytics
- Business Analytics for Decision Making
- Advanced Business Analytics Capstone
Beginners
Data Scientist
Sample degrees and courses:
- Master of Applied Data Science
- Master of Science in Data Science
- Applied Data Science Capstone
Intermediate
Data Engineer
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
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.
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.
“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.”
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.
