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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
  • July 03, 2023 to August 27, 2023
  • Delivery Mode: Online
  • Reg#: 00254
  • ID/Units: I&C SCI X427.18  (2.50)
    ( Section 1 )
  • Quarter: Summer 2023


Arup Basu, MBA, M. TECH, is the Data Analytics Sr. Specialist at Google. He has over 25 years of progressive experience through consulting and industry. Arup successfully led the Business Intelligence, Advanced Analytics, Machine Learning, Data Engineering, Data warehouse, Data Lake/Big Data, and Data Governance initiatives. He has extensive experience in strategy, roadmap, solution architecture with Cloud Platforms, building and deploying predictive models, data pipelines and data engineering/feature engineering, and management including leading diverse global development teams, and alliance partner relationship management. He has over 7 years of training experience to train clients and global team members. Basu’s career includes companies such as Google, Accenture, The Hackett Group, Symantec, Qualcomm, KPMG, and his consulting experience includes clients such as Google, P&G, Charles Schwab, GE, Starbucks, Mastercard, Pacific Life, Applied Materials, and other fortune 500 customers.

Textbook Information

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

Optional Textbook(s):

Hands-On Data Analysis with Pandas: A Python data science handbook for
Book - ISBN: 9781800563452
Molin, S. , 2nd ed, Packt Publishing

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START07/03/2023Monday------Online (Access Begins)---
END08/27/2023Sunday------Online (Access Ends)---