Data Science & Data Engineering

This is Part II of our Causal Impact @ Coursera series. (Part I is here)

The Query2Vec pipeline and a foray into word embeddings

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

This is Part I of our Causal Impact @ Coursera series.

How our algorithms identify at-risk students, powering automated and human interventions

How Coursera generated course categories from thousands of courses using a data driven clustering approach.

How setting — and being reminded of — goals are moving the needle for learners

How we built a feedback loop to optimize learning nudges

How ML-powered skills insights are guiding talent strategy and development

A case study on using Coursera in the classroom

Piloting Self-Serve Analytics as a Service

At Coursera, we use data to power our product and better serve our learners. One example is our Skills Graph —a series of algorithms…

How targeted review material is helping close the gender gap in STEM

An embedded approach to in-platform analytics

Data solutions empowering university and industry partners, and enterprise customers

A/B testing is used throughout the tech world to build more engaging and valuable products. By randomizing users into either the current…

Coursera’s algorithms guide and motivate to give learners a leg up — plus do what only machines can

Lightning Talks @ Coursera

An Evening with Coursera Data Science & Women Who Code

Sourcing, hiring, and growing female talent

How female instructors can help close the gender gap in STEM

ICDM 2018 Workshop on Data Mining for eLearning Personalization

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