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BUS 36 — Connecting Data Analytics with Managerial Success

Quarter: Summer
Instructor(s): Jeremy Gu
Duration: 7 weeks
Format/Location: On-campus
Date(s): Jun 27—Aug 15
Class Recording Available: No
Class Meeting Day: Thursdays
 
Class Meeting Time: 7:00—8:30 pm (PT)
Please Note: No class on July 4
Tuition: $510
   
Refund Deadline: Jun 29
 
Unit(s): 1
   
Enrollment Limit: 40
  
Status: Registration opens May 20, 8:30 am (PT)
 
See syllabus for details (subject to change)
Quarter: Summer
Day: Thursdays
Duration: 7 weeks
Time: 7:00—8:30 pm (PT)
Date(s): Jun 27—Aug 15
Unit(s): 1
Format/Location: On-campus
 
Tuition: $510
 
Refund Deadline: Jun 29
 
Instructor(s): Jeremy Gu
 
Enrollment Limit: 40
 
Recording Available: No
 
Status: Registration opens May 20, 8:30 am (PT)
 
Please Note: No class on July 4
 
See syllabus for details (subject to change)
 
This transformative course is designed to bridge the gap between managerial roles and the ever-changing world of data analytics. Whether you're a marketing manager seeking to optimize campaigns, a finance controller aiming for precise forecasting, or a product leader building data-driven teams, this course will help you develop the skill set you need for career advancement.

The course combines guest speakers, managerial-level case studies from actual tech companies, and practical strategies for dealing with real-world analytics to illustrate how managers make effective decisions using data. Students will learn how to identify, select, and use metrics from massive data sets and see how different companies within the same sector optimize to different goals. Most importantly, students will learn to evaluate information critically, considering its source, credibility, and potential biases.

This is not a course about mathematics or coding but about applying analytical thinking to help level up the data skills required for managers.

JEREMY GU
Director of Data Science, Shipt; Adjunct Professor, University of San Francisco

Jeremy Gu is the director of data science at Shipt and has previously worked at Uber, Amazon, and Stitch Fix. He oversees teams in various domains, including risk assessment, supply chain optimization, logistics, personalized ads, financial modeling, sales operations, and online experimentation platforms. At Uber, he was part of the Strategic Finance team and participated in the company's pre-IPO. He was also one of the first data scientists at Amazon Web Services. At Stitch Fix, he oversaw online and offline marketing channels. Gu received an MS in statistics from the University of Washington and a BS in statistics from the University of Minnesota. He teaches "Data Stream Processing" at the University of San Francisco.