Company-Wide Data Skills Courses

Airbnb's 'Data University' Was Designed by the Company Itself

Data University is the hospitality brand Airbnb's own initiative which seeks to train its employees on the basics, as well as the more technical data-related skills that they require from them.

Since there exists a high demand for trained data scientists among companies in various industries that is not currently being met, those companies are taking matters into their own hands. As an example, Airbnb recently announced its Data University initiative, which will ensure that "its entire workforce [becomes] more data literate." The company designed its own set of courses at three levels of instruction to suit the needs of different teams and employees.

Data University's courses include 100-level ones for teams like HR and business development, and more advanced courses for non-technical employees to become more efficient in project management roles, and understand the company's internal tools and data.

Company-wide Data Skills Courses
Opportunity for companies to develop internal data training programs to meet the demand for skilled data scientists.
Data Literacy in the Workplace
Increasing focus on data literacy across industries as companies recognize the importance of employees having data-related skills.
Customized Data Training
Trend of companies designing their own data training courses tailored to the specific needs of different teams and employees.

Where This Applies

Hospitality
Hospitality companies can develop data training programs to improve operational efficiency and gain insights from customer data.
Technology
Technology companies can invest in data literacy programs to ensure all employees can effectively leverage data in their roles.
HR and Business Development
Opportunity for HR and Business Development teams in various industries to improve their data skills and make data-driven decisions.
SCORE
2.9 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, Europe, Asia
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 29%
Activity 49%
Freshness 8%