Python for Marketing Research and Analytics
Schwarz, Jason S., Chapman, Chris, Feit, Elea McDonnell
- 出版商: Springer
- 出版日期: 2021-11-03
- 售價: $2,800
- 貴賓價: 9.5 折 $2,660
- 語言: 英文
- 頁數: 286
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030497224
- ISBN-13: 9783030497224
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相關分類:
Python、程式語言、行銷/網路行銷 Marketing
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Part I: Basics of Python.- Chapter 1: Welcome to Python.- Chapter 2: The Python Language.- Part II Fundamentals of Data Analysis.- Chapter 3: Describing Data.- Chapter 4: Relationships Between Continuous Variables.- Chapter 5: Comparing Groups: Tables and Visualizations.- Chapter 6: Comparing Groups: Statistical Tests.- Chapter 7: Identifying Drivers of Outcomes: Linear Models.- Chapter 8: Additional Linear Modeling Topics.- Part III Advanced data analysis.- Chapter 9: Reducing Data Complexity.- Chapter 10: Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations.- Chapter 11: Classification: Assigning observations to known categories.- Chapter 12: Conclusion.- Index.