Victor Lo Sets the Stage for a New Series of Tutorials: Essentials of Data Science for Business

NISS unveils a new series of tutorials in Essential Data Science for BusinessVictor Lo (Fidelity Investments) makes a point during an overview of the top ten data science essentials for business.The first five Essential Data Science for Business tutorial instructors, James Harner (West Virginia University), Lee Wilkinson (H20), Yanling Zuo (Minitab), Victor Lo (Fidelity Investments), Ming Li (Amazon).

What do you think are the top ten, key and practical data analytics methods in that are in use in the business world today?

On Wednesday, July 29th Victor Lo (Fidelity Investments) provided a comprehensive overview of those topics that he feels are proving to be these essential methods. He organized his 'top ten' list into three major categories: descriptive, predictive and prescriptive analytics.  In addition, he contended that the topics in this list are those that might not necessarily be covered in many statistics programs.  He then provided an informed and authoritative presentation of the major features that describe the following approaches below. 

Each of these topics in turn will presented as individual 3 hour online tutorial sessions, (date and instructor noted below.)

Registrations options: $35 for single Data Science Essentials tutorial sessions, $250 for all 10 Essential Data Science for Business tutorial sessions.  Can't attend the live session? Post Session Access to tutorial materials and recording can be obtained for $35 after the event is over (click on Post-Session Access link). NISS Affiliates, (https://www.niss.org/affiliates-list), please send an email to officeadmin@niss.org.

  1. "Jim Harner Leads First Session Loaded with Methods and Examples Describing Data Science Workflows" - (October 7, 2020) [Post-Session Access]
  2. "Second Data Science Tutorial Focuses on Data Visualization Led by Lee Wilkinson" - (October 21, 2020) [Post-Session Access]
  3. "Predictive Analytic Tools Featured as Part of Third Data Science Tutorial" - (November 4, 2020) [Post-Session Access]
  4. "Causal Inference and Uplift Modeling Take Center Stage in Data Science Tutorial" - (November 18, 2020) [Post-Session Access]
  5. "Deep Learning & Neural Networks Highlight 5th Data Science Essentials Tutorial" - (December 2, 2020) [Post-Session Access]
  6. "Energy, Interaction and Examples Highpoint of Unstructured Data Analysis Tutorial - Text Mining" - (February 10, 2021) [Post-Session Access]
  7. "Implementation of Guidelines for Ethical Statistical Practice Illustrated" - (February 24, 2021) [Post-Session Access]
  8. "Three Data Scientists Provide An Insider’s Look into Critical Functions and Services" - (March 10, 2021) [Post-Session Access]
  9. "A Framework for Analytical Consulting in Business Contexts" - (March 24, 2021) [Post-Session Access]
  10. May 12, 2021: Victor Lo & Dessislava Pachamanova, "Prescriptive Analytics and Optimization" (see event page!)

Through various snippets and examples into the viability and practicality of these approaches during his presentation, Victor effectively paved the way for NISS to unveil a new series of tutorials that will tackle each of these approaches in turn.  Three hour tutorial type stand-alone sessions will delve deeper into each of these topics and provide practical and useful Information about each.

At the overview session, there were approximately 120 attendees who had plenty of questions regarding the use or the implications of one type of analysis or another.  Lingzhou Xue, Assistant Director of NISS served as moderator of this overview event.

Use the links above to access more information about each of the planned tutorials in this series.

Goals

NISS is interested in sharing knowledge.  To this end, these tutorials have been geared to provide practical information that you can use tomorrow. Examples, projects and code sharing are a part of these sessions wherever possible.

Series Prerequisites

Participants require a working knowledge of probability distributions, statistical inference, statistical modeling and time series analysis as a prerequisite. Students who do not have this foundation or have not reviewed this material within the past couple of years will struggle with the concepts and methods that build on this foundation.  Please Note: Each tutorial is presented as a stand-alone tutorial, in other words, you need not to have attended earlier sessions in order to attend later sessions.

Registration

Registrations options: $35 for single Data Science Essentials tutorial sessions, $250 for all 10 Essential Data Science for Business tutorial sessions.  Can attend the live session? Post Session Access to tutorial materials and recording can be obtained for $35 after the event is over. NISS Affiliates, (https://www.niss.org/affiliates-list), please send an email to officeadmin@niss.org.

Recording of the Overview Session

Slides Used by the Speaker 

Victor Lo, (Fidelity Investments)

"Essential Data Science for Business: Top 10 Analytics Topics"

Thursday, July 30, 2020 by Glenn Johnson