Written by Matt Taddy, successful author of the McGraw Hill
Professional title, Business Data Science graduate of University of
Chicago and Amazon Chief Economist. This new higher-ed text takes a
practical, modern approach to data science and business analytics
for the graduate-level business analytics student or professional.
It takes a learn-by-doing approach, with real data analysis
examples that explain the "why", rather than the "what" in the
decision-making discussions. It uses R as the primary technology
throughout the text and includes an end-of-chapter reference to the
basic R recipes in each chapter. The text uses tools from economics
and statistics in combination with Machine Learning Techniques to
create a platform for using data to make decisions. The Connect
product that supports the text includes Interactive Activities that
have students explore content more deeply, Excel activities like
Integrated Excel & Applying Excel, and a Prep Course that helps
students refresh on fundamental pre-requisite knowledge they need
to know prior to this course.
General
Imprint: |
McGraw-Hill Education
|
Country of origin: |
United States |
Release date: |
May 2022 |
First published: |
2023 |
Authors: |
Matt Taddy
|
Dimensions: |
204 x 252 x 24mm (L x W x T) |
Format: |
Paperback
|
ISBN-13: |
978-1-266-10833-4 |
Categories: |
Books >
Business & Economics >
Business & management >
General
|
LSN: |
1-266-10833-5 |
Barcode: |
9781266108334 |
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