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Data Science & Data Engineering

Regression Discontinuity: Understanding the Benefit of Subtitles on Coursera

Regression Discontinuity: Understanding the Benefit of Subtitles on Coursera

This is Part III of our Causal Impact @ Coursera series. (Part II is here)
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Instrumental Variables & Randomized Encouragement Trials: Driving Engagement of Learners

Instrumental Variables & Randomized Encouragement Trials: Driving Engagement of Learners

This is Part II of our Causal Impact @ Coursera series. (Part I is here)
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Order from Chaos: Understanding Search Queries through Vectors

Order from Chaos: Understanding Search Queries through Vectors

The Query2Vec pipeline and a foray into word embeddings
Go to the profile of Myra Cheng
Myra Cheng
An engineer’s perspective on engineering and data science collaboration for data products

An engineer’s perspective on engineering and data science collaboration for data products

Three themes that have worked well for us at Coursera for data product development— from the perspective of an engineer.
Go to the profile of Chris Liu
Chris Liu

How Online Education Is Increasing Gender Diversity in STEM

By Emily Glassberg Sands, Head of Data Science at Coursera in collaboration with Alan Hickey and Vinod Bakthavachalam, Senior Data…
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Controlled Regression: Quantifying the Impact of Course Quality on Learner Retention

Controlled Regression: Quantifying the Impact of Course Quality on Learner Retention

This is Part I of our Causal Impact @ Coursera series.
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Keeping students on-track

Keeping students on-track

How our algorithms identify at-risk students, powering automated and human interventions
Go to the profile of Alan Hickey
Alan Hickey
Data Driven Content Categorization

Data Driven Content Categorization

How Coursera generated course categories from thousands of courses using a data driven clustering approach.
Go to the profile of Chris Liu
Chris Liu
The Power of Goals

The Power of Goals

How setting — and being reminded of — goals are moving the needle for learners
Go to the profile of Marianne Sorba
Marianne Sorba
Deep learning to intervene where it counts

Deep learning to intervene where it counts

How we built a feedback loop to optimize learning nudges
Go to the profile of Marianne Sorba
Marianne Sorba
Skills benchmarking

Skills benchmarking

How ML-powered skills insights are guiding talent strategy and development
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Measuring outcomes of high schoolers taking Computer Science courses

Measuring outcomes of high schoolers taking Computer Science courses

A case study on using Coursera in the classroom
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Building data services to bring education to millions, Part III

Building data services to bring education to millions, Part III

Piloting Self-Serve Analytics as a Service
Go to the profile of Ronak Shah
Ronak Shah
How our Skills Graph is helping learners find the right content to reach their goals

How our Skills Graph is helping learners find the right content to reach their goals

At Coursera, we use data to power our product and better serve our learners. One example is our Skills Graph —a series of algorithms…
Go to the profile of Emily Glassberg Sands
Emily Glassberg Sands
Using technology to increase equality of opportunity

Using technology to increase equality of opportunity

How targeted review material is helping close the gender gap in STEM
Go to the profile of Vinod Bakthavachalam
Vinod Bakthavachalam
Building data services to bring education to millions, Part II

Building data services to bring education to millions, Part II

An embedded approach to in-platform analytics
Go to the profile of Ronak Shah
Ronak Shah
Building data services to bring education to millions, Part I

Building data services to bring education to millions, Part I

Data solutions empowering university and industry partners, and enterprise customers
Go to the profile of Ronak Shah
Ronak Shah
How A/B Testing Powers Pedagogy on Coursera

How A/B Testing Powers Pedagogy on Coursera

A/B testing is used throughout the tech world to build more engaging and valuable products. By randomizing users into either the current…
Go to the profile of Dan Saber
Dan Saber
Automated coaching

Automated coaching

Coursera’s algorithms guide and motivate to give learners a leg up — plus do what only machines can
Go to the profile of Alan Hickey
Alan Hickey
Join Us for an Evening of Data Science

Join Us for an Evening of Data Science

Lightning Talks @ Coursera
Go to the profile of Emily Glassberg Sands
Emily Glassberg Sands
Data Science Lightning Talks

Data Science Lightning Talks

An Evening with Coursera Data Science & Women Who Code
Go to the profile of Emily Glassberg Sands
Emily Glassberg Sands
Diversity in Data Science

Diversity in Data Science

Sourcing, hiring, and growing female talent
Go to the profile of Emily Glassberg Sands
Emily Glassberg Sands
Role models matter

Role models matter

How female instructors can help close the gender gap in STEM
Go to the profile of Emily Glassberg Sands
Emily Glassberg Sands
Call for Papers

Call for Papers

ICDM 2018 Workshop on Data Mining for eLearning Personalization
Go to the profile of Emily Glassberg Sands
Emily Glassberg Sands
What about the women?

What about the women?

“Education is one of the most important means of empowering women with the knowledge, skills and self-confidence necessary to participate…
Go to the profile of Coursera
Coursera
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