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.
Adel is a Data Science educator, speaker, and Evangelist at DataCamp, where he has released various courses and live training on data analysis, machine learning, and data engineering. Adel is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.
Pieter is a Data Scientist at DataCamp, where he focuses on driving innovation and ensuring the psychometric quality of skill assessments. He has a background in experimental psychology and visual perception and holds a Ph.D. in psychology from KU Leuven. In his free time, you can find him enjoying a nice craft beer after a good run.