{"product_id":"python-for-marketing-research-and-analytics-9783030497224","title":"Python for Marketing Research and Analytics","description":"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.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-13834751\"\u003eJason S. Schwarz\u003c\/a\u003e, \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-12126737\"\u003eChris Chapman\u003c\/a\u003e, \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-10985853\"\u003eElea McDonnell Feit\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/03\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 272\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.43lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.25w x 0.60d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9783030497224\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 3030497224\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM077000\"\u003eMathematical \u0026amp; Statistical Software\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-BUS\"\u003eBusiness \u0026amp; Economics\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-BUS061000\"\u003eStatistics\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-SOC\"\u003eSocial Science\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-SOC027000\"\u003eStatistics\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJason Schwarz PhD\u003c\/b\u003e is a Quantitative Researcher at Google and a former systems neurobiologist. His areas of research include perception, attention, motivation, behavioral pattern formation, and data visualization which he studies at scale at Google. Prior to joining Google, he was a data scientist at a startup where he ran analytics and developed and deployed production machine learning models on a Python stack. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eChris Chapman PhD\u003c\/b\u003e is a Quantitative Researcher at Google, and an author of Chapman \u0026amp; Feit, \u003ci\u003eR for Marketing Research and Analytics\u003c\/i\u003e (Springer, 2015). In the broader industry, he has served as President of the American Marketing Association's Practitioner Council, chaired the AMA Advanced Research Techniques Forum in 2012 and 2017, and is a member of several conference and industry committees. Chris regularly presents research innovations and teaches workshops on R, conjoint analysis, strategic modeling, and other analytics topics.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eElea McDonnell Feit\u003c\/b\u003e is an Assistant Professor of Marketing at Drexel University and a Senior Fellow of Marketing at The Wharton School. She enjoys making quantitative methods accessible to a broad audience and teaches workshops and courses on advertising measurement, marketing experiments, marketing analytics in R, discrete choice modeling and hierarchical Bayes methods. She is an author of Chapman \u0026amp; Feit, \u003ci\u003eR for Marketing Research and Analytics\u003c\/i\u003e (Springer, 2015).\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":44578482225389,"sku":"9783030497224","price":97.48,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/products\/img_ab9de3f5-f24d-40ff-93e3-5e9fdc04fbe4.jpg?v=1702048011","url":"https:\/\/sureshotbooks.com\/es\/products\/python-for-marketing-research-and-analytics-9783030497224","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}