Hands-on Data Analytics for Business
Autor Monica W. M. Tangen Limba Engleză Paperback – 16 feb 2026
Hands-on Data Analytics for Business is a concise all-in-one analytics textbook for business professionals and university students who want to:
- Understand the essential theories and concepts of data analytics
- Grasp hands-on practical statistical and analytics skills step-by-step using SPSS and Excel
- Appreciate real-world well-known case studies in human resources, marketing and supply chain on how data analytics is applied in business.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 397.55 lei Precomandă | |
| CRC Press – 16 feb 2026 | 397.55 lei Precomandă | |
| Hardback (1) | 1004.65 lei Precomandă | |
| CRC Press – 16 feb 2026 | 1004.65 lei Precomandă |
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Specificații
ISBN-13: 9781032619996
ISBN-10: 1032619996
Pagini: 178
Ilustrații: 182
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
ISBN-10: 1032619996
Pagini: 178
Ilustrații: 182
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Public țintă
Undergraduate CoreCuprins
1. Introduction to Data Analytics 2. The Data Analytics Process 3. Data Analytics in Human Resources 4. Data Analytics in Marketing 5. Data Analytics in Supply Chain 6. Building Analytics Capabilities, Running Projects and Future Trends
Notă biografică
Dr. Monica W.M. Tang is Adjunct Associate Professor in Hong Kong Baptist University School of Business. She also teaches in The University of Hong Kong and other universities. She has been teaching different courses in the topic of Data Analytics for Business after she earned her Doctor of Business Administration in City University of Hong Kong in 2019. She received the “Outstanding Teacher Award” from The University of Hong Kong School of Professional and Continuing Education in 2024.
Dr. Tang is also a seasoned information technology (IT) management professional. She has more than 25 years’ working experience with a demonstrated history of successful IT projects in public sectors, universities and consulting companies. She is now Senior IT Manager in The University of Hong Kong. Her expertise areas include data analytics, digital transformation and project management in different business areas including human resources, finance and manufacturing.
Dr. Tang has a vision of bringing measurable benefits using data analytics from IT to organizations and employees. She wants to make a positive impact to the professional society by sharing the knowledge and skills in data analytics through different publications. She is a frequent speaker in seminars on analytics, artificial intelligence, management and leadership. She is also the awardee of “Contribution to the Society Award” by City University of Hong Kong in 2017.
Dr. Tang is also a seasoned information technology (IT) management professional. She has more than 25 years’ working experience with a demonstrated history of successful IT projects in public sectors, universities and consulting companies. She is now Senior IT Manager in The University of Hong Kong. Her expertise areas include data analytics, digital transformation and project management in different business areas including human resources, finance and manufacturing.
Dr. Tang has a vision of bringing measurable benefits using data analytics from IT to organizations and employees. She wants to make a positive impact to the professional society by sharing the knowledge and skills in data analytics through different publications. She is a frequent speaker in seminars on analytics, artificial intelligence, management and leadership. She is also the awardee of “Contribution to the Society Award” by City University of Hong Kong in 2017.
Descriere
This is a concise all-in-one analytics book for business professionals or university students who want to understand the concepts of analytics, grasp hands-on statistical and analytics skills step-by-step using Excel and SPSS and, understand real-world case studies on how data analytics is applied in business.