Skip to main content

Humanities, Social Science and Language


Digital Products


Connect®
Course managementreporting, and student learning tools backed by great support.

Connect® Master
Next Level Learning for Today's Generation

McGraw Hill GO
Greenlight learning with the new eBook+

ALEKS®
Personalize learning and assessment

ALEKS® Placement, Preparation, and Learning
Achieve accurate math placement

SIMnet
Ignite mastery of MS Office and IT skills

McGraw-Hill eBook & ReadAnywhere App
Get learning that fits anytime, anywhere

Sharpen: Study App
A reliable study app for students

Services


Inclusive Access
Reduce costs and increase success

LMS Integration
Log in and sync up

Math Placement
Achieve accurate math placement

Content Collections powered by Create®
Curate and deliver your ideal content

Custom Courseware Solutions
Teach your course your way

Professional Services
Collaborate to optimize outcomes

Lecture Capture
Capture lectures for anytime access

Remote Proctoring
Validate online exams even offsite

Institutional Solutions
Increase engagement, lower costs, and improve access for your students

Support


General Help & Support Info
Customer Service & Tech Support contact information

Online Technical Support Center
FAQs, articles, chat, email or phone support

Support At Every Step
Instructor tools, training and resources for ALEKS, Connect & SIMnet

Instructor Sample Requests
Get step by step instructions for requesting an evaluation, exam, or desk copy

Platform System Check
System status in real time

Modern Business Analytics https://www.mheducation.com/cover-images/Jpeg_400-high/1264071671.jpeg 1 2023 9781264071678 This higher-ed text takes a practical, modern approach to data science and business analytics for the analytics student or professional. It helps them learn by doing, with real data analysis examples that explain the "why", rather than the "what" in 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. It is written by Matt Taddy, successful author of the McGraw Hill Professional title, <i>Business Data Science</i>, former professor at the University of Chicago (‘08–‘18), and Vice President at Amazon, alongside his esteemed colleagues, Dr. Leslie Hendrix, associate professor at the Darla Moore School of Business at the University of South Carolina, and Dr. Matthew C. Harding, professor of economics and statistics at the University of California, Irvine. With their collective authorship, <i>Modern Business Analytics: Practical Data Science for Decision Making</i> has crossed the boundaries and created something truly interdisciplinary.
09781264071678
Modern Business Analytics
Modern Business Analytics

Modern Business Analytics, 1st Edition

ISBN10: 1264071671 | ISBN13: 9781264071678
By Matt Taddy, Leslie Hendrix and Matthew Harding
© 2023

Purchase Options:

* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Instructor Details

This higher-ed text takes a practical, modern approach to data science and business analytics for the analytics student or professional. It helps them learn by doing, with real data analysis examples that explain the "why", rather than the "what" in 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. It is written by Matt Taddy, successful author of the McGraw Hill Professional title, Business Data Science, former professor at the University of Chicago (‘08–‘18), and Vice President at Amazon, alongside his esteemed colleagues, Dr. Leslie Hendrix, associate professor at the Darla Moore School of Business at the University of South Carolina, and Dr. Matthew C. Harding, professor of economics and statistics at the University of California, Irvine. With their collective authorship, Modern Business Analytics: Practical Data Science for Decision Making has crossed the boundaries and created something truly interdisciplinary.

Chapter 1: Regression 
Chapter 2: Uncertainty Quantification 
Chapter 3: Regularization and Selection 
Chapter 4: Classification 
Chapter 5: Causal Inference with Experiments 
Chapter 6: Causal Inference with Controls 
Chapter 7: Trees and Forests 
Chapter 8: Factor Models 
Chapter 9: Text as Data 
Chapter 10: Deep Learning 
Appendix: R Primer 

Main Features

  • LMS Integration
  • Print/Loose-Leaf Book Add-On Availability
  • Presentation Slides & Instructor Resources
  • Question & Test Banks
  • Adaptive Assignments
  • Student Progress Reporting & Analytics
  • Essay Prompts
  • Polling
  • Prebuilt Courses
  • Interactive Exercises
  • eBook Access (ReadAnywhere App)
  • Remote Proctoring (Proctorio)
  • Subject-Specific Tools

About the Author

Matt Taddy

Leslie Hendrix

Matthew Harding

affordability icon

Affordability

Reduce course material costs for your students while still providing full access to everything they need to be successful. It isn't too good to be true - it's Inclusive Access.

Accessibility

Creating accessible products is a priority for McGraw Hill. We make accessibility and adhering to WCAG AA guidelines a part of our day-to-day development efforts and product roadmaps.

For more information, visit our accessibility page, or contact us at accessibility@mheducation.com

Need support?   We're here to help - Get real-world support and resources every step of the way.


AICPA SOC Logo
AICPA SOC Logo
AICPA SOC Logo