Industry Skills Report

Methodology

Industry Skills Report

Skills Graph

The Coursera Skills Graph connects skills, content, careers, and learners together through machine learning algorithms.

We use the text data from course materials to identify what skills each course teaches and what skills each assessment measures. Then, we benchmark the skills proficiency of learners using their assessment performance data and skills tagging.

Skills Graph

Skills Taxonomy

Containing over 38,000 skills in business, technology, and data science, the Coursera Skills Taxonomy combines data from open-source taxonomies, like Wikipedia, and subject matter experts, such as Coursera educators and learners.

The top layer of the skill classification structure is a domain, followed by a competency, then skill, and subskill.

In the Industry Skills Report, we measure proficiency at the competency level.

Skills Taxonomy

Benchmarking

To benchmark skills proficiency at the industry level, we first benchmark the skill proficiency of each learner in each skill. Then, we aggregate those proficiencies to compute statistics like the industry skills proficiency and the company skills proficiency in a particular skill.

Benchmarking

Industry Skill Scores

With skill scores computed at the individual level, and linkages between users and companies (as well as between companies and industries), we compute company and industry proficiency skill level by taking a weighted average of individual skill scores. This means that learners in whose scores we are more confident count for more in their industry’s skill proficiency score than learners in whose scores we are less confident.

To compute aggregate scores in business, technology, and data science, we take the industry or company score average in each domain’s competency. Similarly, to get the overall industry or company score for use in correlations with third-party data, we take the average of that industry or company’s business, technology, and data science scores. This leads to industries and companies making balanced progress across all business, technology, and data skills that have higher overall scores versus those which have high proficiency in a couple skills and low proficiency in all others.

Note that the Industry Skills Report estimate may not reflect the average skill proficiency of all members within a company or industry because Coursera learners are not necessarily representative of all learners in a company or industry.

Industry Skill Scores

Over-Indexing Skills

To determine which skills learners are most interested in within a particular industry, we look for skills that have a greater share of enrollments in a particular industry than they do in the overall population of learners on Coursera. While trending skills reveal what is generally popular, over-indexing skills reveal what is disproportionately popular within a particular group. Whether or not a course teaches a skill is determined using the Coursera Skills Graph.

Over-Indexing Skills

Coursera Skills Reports

Get data-driven insights into the world’s top skills trends.

  • Global Skills Report

    Explore workforce reskilling trends. Get report
  • Industry Skills Report

    Get skills insights across 10 industries. Get report
  • Campus Skills Report

    Discover skills students need to succeed. Get notified