Essential Data Science for Business: Descriptive Analytics, Exploratory Data Analysis, and Data Visualization

October 21, 2020 1-4 pm

The tutorials in this NISS series involve the Top 10 analytics approaches of the key topics that are used in business today!  Students and faculty, these are perhaps the top ten most important and practical topics that may not be covered in your program of study.  (Review the Overview Presentation about all 10 Sessions).

Descriptive Analytics, Exploratory Data Analysis, and Data Visualization

Overview

Data analysis today involves more facets than the traditional statistics curriculum covered even a few decades ago. Even simple descriptive summaries now include methods beyond the scope of the classical statistical estimators. Exploratory data analysis now incorporates many new methods not seen in Tukey's pioneering book of that name. And visualization nowadays depends on algorithms that weren't practical or didn't exist on the computers of even a decade ago. Furthermore, big data sets (many rows, many columns, many items, ...) present special problems for analysis and visualization. This workshop covers strategies that help reduce data sets to manageable proportions and models that are interpretable when applied to massive problems. It also covers graphic representations most suitable for exploring multivariate data.

Instructor

Lee Wilkinson (Chief Scientist at H2O, and Adjunct Professor of Computer Science at the University of Illinois at Chicago)

Goals

NISS is interested in sharing knowledge.  To this end, these webinars 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.

Registration

Select a registration/payment option above the 'Register for this Event' button ($35/session, $250 for all 10 Essential Data Science for Business tutorial sessions.). NISS Affiliates, (https://www.niss.org/affiliates-list), please send an email to officeadmin@niss.org.).


Agenda

About the Instructor

Leland Wilkinson is Chief Scientist at H2O, and Adjunct Professor of Computer Science at the University of Illinois at Chicago (http://www.cs.uic.edu/~wilkinson/). He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson is a Fellow of the American Statistical Association, a Fellow of the American Association for the Advancement of Science, and an elected member of the International Statistical Institute. In addition to journal articles and the original SYSTAT computer program and manuals, Wilkinson is the author of The Grammar of Graphics, the foundation for a number of commercial and open-source visual analytic systems (IBM-RAVE, Tableau, R-ggplot2, and Python-Bokeh).

Event Type

Host

National Institute of Statistical Sciences

Sponsor

National Institute of Statistical Sciences

Cost

$35 for this session; $250 for all 10 Data Science Sessions

Location

Online Tutorial
Lee Wilkinson (H2O, and University of Illinois at Chicago), Instructor of the "Descriptive Analytics, Exploratory Data Analysis, and Data Visualization" tutorial.