Business Analytics
Edition: 3
Copyright: 2023
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Introduction to Business Analytics is designed with two goals in mind, readability and affordability. All professors know how difficult it is to get students taking required courses to read the textbook. I assign a few topics at a time within each chapter for them to read. It helps to place those “Topics of the Day” on the board so students become accustomed to the vocabulary. It was written in such a fashion that even students with an aversion to mathematics can understand it. It doesn't require students to be completely proficient in JMP, but it does want them to work with the program enough to put it on their resumes. Each lecture then ties how companies are currently using analytics to their advantage. In addition, it includes problems for every type of business major throughout the text.
Acknowledgments
Chapter 1 Business Analytics
Chapter 2 Data Mining
Chapter 3 Correlation and Simple Linear Regression Analysis
Chapter 4 Multiple Regression
Chapter 5 Time Series Analysis and Forecasting
Chapter 6 Logistic Regression
Chapter 7 Tableau
Chapter 8 Linear Programming—Formulation and Solutions
Chapter 9 Analysis of Variance
Chapter 10 Decision Analysis
Carolyn Hulme Turner attended Baylor as an undergraduate and graduate student. Her mentors included Dr. Helen Ligon, her brother, Fred Hulme, and Dr. Don Edwards. She began her education as environmental studies major, switched to marketing, then found my true niche in marketing research. Just as she was about to take a job as a consultant with Arthur Andersen, a teaching position in QBA and Information Systems opened. By emulating her brother’s teaching techniques, she found success and has been teaching at Baylor thirty-six years. She has consulted with all types of businesses including the health field--showing a relationship between smoke and hearing damage and how the establishment of a clinic for babies born in the neonatal unit reduces emergency room visits, to bank auditors -determining if loan applicants were discriminated against based on gender, race, or ethnicity, and even our local zoo—analyzing orangutans’ blood pressure measurements.
She plans to update her Introduction to Business Analytics text and include new data and projects each year to keep it fresh. All proceeds go to a scholarship fund in Fred Hulme’s name for a business analytics student.
Introduction to Business Analytics is designed with two goals in mind, readability and affordability. All professors know how difficult it is to get students taking required courses to read the textbook. I assign a few topics at a time within each chapter for them to read. It helps to place those “Topics of the Day” on the board so students become accustomed to the vocabulary. It was written in such a fashion that even students with an aversion to mathematics can understand it. It doesn't require students to be completely proficient in JMP, but it does want them to work with the program enough to put it on their resumes. Each lecture then ties how companies are currently using analytics to their advantage. In addition, it includes problems for every type of business major throughout the text.
Acknowledgments
Chapter 1 Business Analytics
Chapter 2 Data Mining
Chapter 3 Correlation and Simple Linear Regression Analysis
Chapter 4 Multiple Regression
Chapter 5 Time Series Analysis and Forecasting
Chapter 6 Logistic Regression
Chapter 7 Tableau
Chapter 8 Linear Programming—Formulation and Solutions
Chapter 9 Analysis of Variance
Chapter 10 Decision Analysis
Carolyn Hulme Turner attended Baylor as an undergraduate and graduate student. Her mentors included Dr. Helen Ligon, her brother, Fred Hulme, and Dr. Don Edwards. She began her education as environmental studies major, switched to marketing, then found my true niche in marketing research. Just as she was about to take a job as a consultant with Arthur Andersen, a teaching position in QBA and Information Systems opened. By emulating her brother’s teaching techniques, she found success and has been teaching at Baylor thirty-six years. She has consulted with all types of businesses including the health field--showing a relationship between smoke and hearing damage and how the establishment of a clinic for babies born in the neonatal unit reduces emergency room visits, to bank auditors -determining if loan applicants were discriminated against based on gender, race, or ethnicity, and even our local zoo—analyzing orangutans’ blood pressure measurements.
She plans to update her Introduction to Business Analytics text and include new data and projects each year to keep it fresh. All proceeds go to a scholarship fund in Fred Hulme’s name for a business analytics student.