In a survey of more than 4,500 organizations, UiPath found that more than 83% of workers across industries that training in data science, analytics, and machine learning would help them become more effective in their role.

Now more than ever, the L&D function has never been more important for driving organizational change and driving business impact.

However, how do you go about measuring this impact and proving the ROI of learning and development programs for data skills?

In this webinar, we’ll uncover the importance of L&D programs on data science and analytics in an increasingly digitized world, discuss practical steps and frameworks L&D teams can adopt today to measure the ROI of L&D programs on data science and analytics, and present how to leverage assessments and data to measure skill progression on L&D programs.

Finally, we’ll cap it off with a spotlight on how DataCamp’s data science team designed Signal Skill Assessments and Skill Matrices to measure data skill progression within teams and organizations.

Main Takeaways:

Understand the importance of data training in an increasingly digitized world

Practical steps and frameworks for measuring ROI on L&D programs for data skills

How to leverage assessments and data to measure skill progression on L&D programs for data skills