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Essential skills for Data Science teams

Empower teams with expertise in Python, cloud computing, and problem-solving.
Download the Collection

 

Smart skills solutions for smart teams

Taught by experts

Taught by experts

Instructed by leading experts in mathematics, computer science, artificial intelligence, and big data

 

Curated with data

Curated with data

Collections are informed by insights from 60M+ learners and mapped to competitive data science skills

 

Improved performance

Improved performance

Over 75% of data scientists
applied the skills they learned on Coursera at work

 

Taught by renowned faculty and experts

Andrew Ng

Andrew Ng

Professor of Computer Science, Stanford University

 

Ilkay Altintas

Ilkay Altintas

Chief Data Science Officer, San Diego Supercomputer Center

 

Robert D. Peng

Robert D. Peng

Professor of Bioinformatics, John Hopkins University

 

Jana Schaich Borg

Jana Schaich Borg

Assistant Research Professor and Neuroscientist, Duke University

 

H.V. Jagadish

H.V. Jagadish

Professor, Electrical Engineering, University of Michigan

 

Content from leading institutions and tech companies

Business skills for Data Science Teams

 

  • Johns Hopkins University (JSU)
  • Rice University
  • Yonsei University
  • ESSEC Business School

Courses include

  • AI For Everyone
  • Managing Data Analysis
  • Foundations of Marketing Analytics
  • Executive Data Science Capstone
  • Forecasting Models for Marketing Decisions
  • Financial Engineering and Risk Management

 

Tech skills for Data Science Teams

 

  • Google Cloud
  • University of Michigan
  • Yandex
  • deep;earning.ai

Courses include

  • Programming for Everybody (Getting Started with Python)
  • Functional Program Design in Scala
  • Deep Learning in Computer Vision
  • Big Data Essentials: HDFS, MapReduce and Spark RDD
  • Introduction to TensorFlow

 

Data Science skills for Data Science Teams

 

  • National Research University Higher School of Economics
  • Imperial College London
  • Google Cloud
  • Macquarie University

Courses include

  • Sequence Models
  • Neural Networks and Deep Learning
  • Natural Language Processing
  • Google Cloud Platform Big Data and Machine Learning Fundamentals
  • Bayesian Methods for ML
  • Mathematics for ML: Linear Algebra

 

Skills that build real-world value

75%

of data scientists applied skills they learned on Coursera at work

 

“I am using the knowledge gained here to build some of the recommended system for application or workload optimization—recommending best configuration and tuning parameters for optimal performance of key performance indicators in the benchmarking world. I am almost halfway through the process and confident to be successful in my endeavor.”

 

Shree G., Data Scientist
Big Data Applications: Machine Learning at Scale, Yandex

 

Trusted by data-driven companies

“Our employees were excited about the opportunity to learn from top universities. Driving a complex program like this at scale, Coursera’s backend reporting, analytics, and insights were very useful. Overall, this partnership is successfully equipping our employees to take their analytics journey to the next level.”

 

Coursera

Senior Manager
Exelon Utilities

 

Download the Essential Skills Collection for
Data Science teams