Data Is the Currency of Today
Looking to make impactful decisions in your day-to-day work? Then follow Divya Bhadouria’s advice: “Data analysis is a core skill to develop in the rapid evolution of AI today.
“Data is a critical currency of today's professional world,” Divya adds, “so being data savvy is so important for any role that you might be pursuing.”
Taking her own advice helped Divya transition from a strategy and operations consultant role at KPMG India into product management for an AI-based recommendation engine at health-tech company Castlight. She continued to expand her expertise as a product lead for the Patient Intelligence platform at Apree Health and now leads the development of AI classifiers to enhance content quality at Meta. In order to shine and excel in this career transition, Divya completed our comprehensive data analysis program and hasn’t looked back.
“Effective AI product managers need to collaborate closely with data analysts and engineers,” Divya explains. “Being able to engage in meaningful, technical conversations about data is crucial, especially when working on software and AI products. I wanted to deepen my understanding of data analysis so I could bridge the gap between business strategy and technical development, and ultimately help create AI products that truly make a difference.”
Divya looks back on her journey with us and offers insights into how she’s flexing those advanced data analysis skills.
On choosing our certificate:
This certificate is a thoughtfully curated mix of courses, which provided me with a comprehensive, end-to-end understanding of the data analysis process. I was particularly drawn to how the program covered everything from data warehousing and analytics using various programming languages to data visualization. This well-rounded approach not only built a strong technical foundation, but also equipped me with practical skills that were directly applicable to real-world scenarios. My goal was to gain a holistic perspective on data analysis, enabling me to confidently contribute to and lead data-driven projects in my future roles.
I wanted to deepen my understanding of data analysis so I could bridge the gap between business strategy and technical development, and ultimately help create AI products that truly make a difference.
On her favorite class:
I thoroughly enjoyed all the courses included in the certificate, but the SQL course, in particular, stood out thanks to an exceptional instructor who guided me from beginner to advanced levels efficiently. This rapid skill development proved invaluable during my AI product manager job search, as many roles required strong analytical thinking and SQL proficiency.
Beyond the curriculum, I appreciated the opportunity to connect with fellow students from diverse professional backgrounds. Engaging with them broadened my perspective and enriched my learning experience. The instructors were approachable and supportive, fostering an interactive environment that made complex concepts easier to grasp and apply.
The certificate's well-rounded approach not only built a strong technical foundation, but also equipped me with practical skills that were directly applicable to real-world scenarios.
On putting skills to work:
I began my career with a foundational set of data analytics skills, which were significantly strengthened through the UC Berkeley Extension program. As I continue to work on AI products, the knowledge and techniques I gained have given me a clear advantage in collaborating effectively with my technical counterparts. This deeper understanding enables me to engage in more meaningful, data-focused conversations and make informed decisions that drive product success.
This program not only validates my technical capabilities, but also boosts my confidence in navigating complex projects and collaborating with cross-functional teams.
On earning her certificate:
This represents a significant milestone both personally and professionally.
Personally, it reflects my commitment to continuous learning and growth, pushing myself to develop new skills and pursue new career directions.
Professionally, it has equipped me with a practical understanding of data analysis that enhances my ability to contribute meaningfully in product leadership roles, especially those focused on data-driven decision-making. This program not only validates my technical capabilities, but also boosts my confidence in navigating complex projects and collaborating with cross-functional teams.
On future goals:
In five to 10 years, I see myself continuing to grow as a leader building AI products, driving innovative data-driven products that make a real impact.