In 2021, we witnessed the impact of COVID-19 on accelerating digital transformation. This rapid digitization has led to an explosion in the amount of data organizations are generating. As organizations look to reap the value of this data in 2022, they will adopt new technologies, upskill their workforce, and embrace new ways of work.

DataCamp partnered with Tableau for Teaching to provide world-class courses on Tableau to teachers and students around the globe for free. Find out how you can help improve your students’ data literacy with DataCamp for Classrooms.

77% of learning professionals don’t know how to assess the impact of learning programs. That’s why, in 2022, DataCamp is making it easier for admins to report on the difference you’re making, using Custom Reports and our new Power BI and Tableau connector.

Learn in your native language! All DataCamp videos are now available in 16 languages, including Thai, Arabic, Turkish, Vietnamese, Polish, and Indonesian subtitles.

Examining the incredibly popular field that is data science

Learn how to apply for the jobs you desire and set your self apart. Learn what makes you stand out and what steps to take stand out from crowd.

Learn how to stand out with your resume and the dos and don'ts for an impressive resume. How to clear the ATS systems and get to interview. Learn how best to present your resume as a fresher, as an associate or a senior.

Effective data storytelling allows practitioners to drive action with their insights. In a recent webinar, Brent Dykes explored how data storytelling could have helped Ignaz Semmelweis, a pioneer of germ theory, gain adoption of his insights—and save lives in the process.

The insurance industry is rife with data and potential use cases. In a recent webinar, Allianz Benelux Regional Chief Data & Analytics Officer Sudaman T M outlined how in order to scale value from data, insurance organizations should look to move from “analytics garages”, to “analytics factories”.

Deloitte recognizes DataCamp for the third consecutive year on the Technology Fast 500™.

Developing and deploying robust data science projects requires strong project management practices specific to data science. On a recent webinar, Brian Campbell discussed his best practices for managing data science projects effectively. Find out what they are here.

Building trust in AI is key towards accelerating the adoption of data science and machine learning in financial services. Learn how to accelerate the development of trusted AI within the industry and beyond.