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BUS 48 — Practical Analytics: Transforming Data into Decisions

Quarter: Spring
Day(s): Tuesdays
Course Format: On-campus (About Formats)
Duration: 10 weeks
Date(s): Apr 2—Jun 4
Time: 5:30—7:20 pm (PT)
Refund Deadline: Apr 4
Units: 2
Grade Restriction: No letter grade
Tuition: $715
Instructor(s): Moe Lotfy
Limit: 40
Class Recording Available: No
Status: Open
ACCESS THE SYLLABUS » (subject to change)
5:30—7:20 pm (PT)
Apr 2—Jun 4
10 weeks
Refund Date
Apr 4
2 Units
Grade Restriction
No letter grade
Moe Lotfy
ACCESS THE SYLLABUS » (subject to change)
Whether you are new to the job market or an established leader, converting data into actionable insights is a crucial business skill and the cornerstone of informed decision-making. This course will equip students with the knowledge and practical skills to navigate complex analytical challenges by teaching them how to interpret data and turn numbers into compelling narratives that inspire action and drive innovation.

The course is organized into two main sections. Section one focuses on analytics project scoping, data preparation, exploratory analyses, and conveying data findings through compelling visualizations. Students will learn to collect, clean, prepare, and visualize data for analysis while ensuring its quality. In section two, students will learn AB testing frameworks used in practice, gain practical experience with statistical/machine learning techniques to extract complex patterns hidden in data and explore two aspects of responsible AI: data bias and privacy by design. The two sections will position students to become influential leaders capable of making decisions that foster innovation and help companies gain and maintain a competitive edge.

Analytics Leader

Moe Lotfy is an analytics leader with over a decade of experience in data science and engineering, spanning research, academia, and industry. He has held senior analytics positions at companies such as Hulu/Disney and KPMG, where he built and led functions in experimentation, marketing, and financial services. He received a PhD in mechanical and nuclear fusion engineering from UCLA and a BSc in mechanical engineering from the University of Illinois Urbana-Champaign. Lotfy is equally passionate about education, having developed and taught data science and AI courses on leading platforms with more than 10 million learners.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.