Completing the Berkeley Business Analytics for Leaders Program gave me a practical and in-depth understanding of how analytics techniques drive business impact. The program, offered by UC Berkeley Executive Education, helped me gain a competitive edge by capturing data-enabled business opportunities and creating data-based decision-making models.

Through hands-on activities, real-world case studies, and live sessions, the program covered the three pillars of business analytics: descriptive, predictive, and prescriptive analytics. I learned to access, transform and visualize data for descriptive analytics and use supervised and unsupervised learning techniques for predictive analytics. The program also covered reinforcement learning and experimentation for prescriptive analytics.

One of the key takeaways from the program was the importance of data-driven decisions, which enable stronger business cases and greater agility. The program also highlighted the potential of leveraging data and experimentation to drive innovation and better evaluate business analytics approaches and strategies.

The program helped me build my data fluency and understanding of how analytics and AI work together, underlining the need for credibility, support, and the right tools to implement data-based decision-making models in organizations. The hands-on experience working with real-world datasets from companies made the learning practical and insightful.

Completing the Berkeley Business Analytics for Leaders Program has given me the tools needed to drive business decisions through the practical application of an AI-centric operating model. I highly recommend this program to anyone who wants to understand the real-world applications of business analytics and learn how to drive business impact with data-driven decision-making models.