Essential Data Science for Business: Non-Analytic Skills for Analytic Consulting Success

[Please Note: The Essential Data Science for Business: Non-Analytic Skills for Analytic Consulting Success has already occurred.  

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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).

Non-Analytic Skills for Analytic Consulting Success

Overview

The vast majority of academic programs in applied statistics and data science focus on the technical skills and methodologies that provide their graduates with tools necessary to address the most common types of analyses that they may encounter in a career in business. While this background provides graduates with the skills to perform specific types of analysis, it may not provide the skills necessary to tackle the complex, often poorly defined and multidisciplinary problems typically encountered in business. In particular, these programs do not expose students to the non-technical skills that are often critical for successful analytical consulting in a business environment. 

This webinar will use an actual case study to demonstrate the rationale for and the application of many non-technical skills that, while not taught in academic programs, are often critical for analytical consultants in business to provide actionable solutions to business problems. While there are many technical components to the case study, the focus will be on the non-technical tools that help the analytical consultant make appropriate decisions throughout the problem.

Instructor

Sam Woolford (Bentley University)

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

Select a registration/payment option above the 'Register for this Event' button ($35 for this Data Science Essentials tutorial session, $250 for all 10 Essential Data Science for Business tutorial sessions. 

Can't attend this session or any of the previous sessions? Post Session Access to tutorial materials and recording can be obtained for $35 after the event is over.  Purchasing all 10 Sessions also will provide you access to all previous session recordings and materials.) NISS Affiliates, (https://www.niss.org/affiliates-list), please send an email to officeadmin@niss.org.).  Notifications: You will recieve an email that comes immediately to let you know you paid.  Links to the event will come via email the day before and one hour prior to the actual session.