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Descriptive Analytics: Visualization & Storytelling w/Data

A required course in the Data Analytics for Business Certificate Program. A required course in the Data Analytics for Business Certificate Program.

Course Description

This course covers the foundations of descriptive analytics in the context of business and financial data analysis. Through the application of interactive visual analytics, students will learn how to extract structure from historical data and present key points through graphical storytelling. Additional topics include data manipulation, visualization foundations, audience identification, ethical considerations, dashboard creation, and report generation. A survey of available visualization tools will be included with a hands-on project. Prerequisite(s): I&C SCI X425.90 Introduction to Analyzing Data for Business Goals

Prerequisite(s): I&C SCI X425.90 Introduction to Analyzing Data for Business Goals.

NOTE: This course may have live sessions via Zoom. 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.

NOTE: This course requires Microsoft Excel and Tableau. Additional information will be provided on the course page once the course begins. Prerequisite(s): I&C SCI X425.90 Introduction to Analyzing Data for Business Goals.

NOTE: This course may have live sessions via Zoom. 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.

NOTE: This course requires Microsoft Excel and Tableau. Additional information will be provided on the course page once the course begins.

  • Details
  • $820
  • January 17, 2022 to March 13, 2022
  • Delivery Mode: Online
  • Reg#: 00230
  • ID/Units: I&C SCI X425.91  (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 textbooks are required for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START01/17/2022Monday------Online (Access Begins)---
END03/13/2022Sunday------Online (Access Ends)---