AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
Singapore
Jun Yu is a data analyst for Wallex Technologies, a fintech company specializing in B2B payments between SME companies. He leads the company's data analytics efforts to uncover data-driven insights and collaborates closely with product, operations and engineering teams to optimize and automate work processes and report generation. He was previously from a banking and finance background, working at DBS Bank as a relationship manager. While this previous role was primarily sales, it was in this role that he got to experience, firsthand, the power of data in helping to gain a competitive edge - in this case, uncovering consumer insights and making appropriate product recommendations. Ultimately, this spurred his interest for data science and he has managed to successfully pivot to his current position.
He was a graduate from National University of Singapore, majoring in Economics, but also participated in General Assembly's 12-week Data Science Immersive course - first as a student, and thereafter as a teaching assistant. Away from work, he engages in his passion, which is sports (volleyball and football) and exercising.
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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