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Advanced Visualization

An elective course in the Data Science Certificate Program

Course Description

Visualization plays a fundamental role in understanding properties and relationships in data to extract insights and communicate results. Whether the analytics is descriptive, diagnostic, prescriptive, or proscriptive, visualization is essential throughout any analytics cycle. This course will focus on applying various methods and techniques to different stages of the analytics cycle such as during data preparation, modeling, and reporting. Students will learn techniques for visualizing univariate, multivariate, temporal, text-based, hierarchical, and network/graph-based data both in ad hoc analysis as well as in automated generation.

Required prerequisites: I&C SCI X427.05 Fundamentals of Data Science.

NOTE: This course may use live sessions via Zoom. While students are highly encouraged to attend, all sessions are optional and will be recorded. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

  • Details
  • $820
  • January 24, 2022 to March 20, 2022
  • Delivery Mode: Online
  • Reg#: 00193
  • ID/Units: I&C SCI X427.18  (2.50)
    ( Section 1 )
  • Quarter: WINTER 2022

Instructor


James Yang, M.S., is currently Vice Chairman of Palazzo Tokyo Plaza and advisor to several startup companies. He has close to two decades of experience in applying statistical and machine learning methods to problems in engineering, finance, and business operations. His area of specialization is in quantitative finance particularly with respect to strategic investment and business decisions. Outside of his professional interests, he also dabbles in computational photogrammetry, robotics, and race bike engineering which require surprisingly similar analytical and computational skill sets.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbook information is available for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START01/24/2022Monday------Online (Access Begins)---
END03/20/2022Sunday------Online (Access Ends)---