
DataFramed #108 The Hallmarks of Successful Data Training Programs
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Oct 10, 2022 Sharon Castillo, VP of Global Education at DataRobot, brings over 30 years of expertise in data training and upskilling. She discusses the importance of well-designed data training programs that align with employees' needs and business goals. Sharon shares insights on effective retention strategies, the hybrid training approach, and the role of management in enhancing participation. She also highlights the value of tailoring educational paths and fostering employee passion through personalized learning. Tune in for essential tips on empowering your organization with data skills!
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Universal Data Training Need
- Everyone needs data training because people tend to rely on anecdotal evidence.
- The type of training needed varies depending on the role and level.
Training Alignment with Business Goals
- Align training with business goals and KPIs.
- Senior roles need training to analyze data for strategic decision-making.
Data-Driven Training Adjustments
- DataRobot used a tool to analyze user behavior after training.
- This analysis revealed training needs and informed course adjustments.

