Description: About this Item The item is a book Paperback The Author Name is Joanne Rodrigues The Title is Product Analytics : Applied Data Science Techniques for Actionable Consumer Insights Condition New Other Comments Pages Count - 448. Category - Computers Product Description - This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -- why customers buy more, or why they immediately leave your site -- so you can get more behaviors you want and less you don't. Drawing on extensive enterprise experience and deep knowledge of demographics and sociology, Rodrigues-Craig shows how to create better theories and metrics, so you can accelerate the process of gaining insight, altering behavior, and earning business value. You'll learn how to: Develop complex, testable theories for understanding individual and social behavior in web productsThink like a social scientist and contextualize individual behavior in today's social environmentsBuild more effective metrics and KPIs for any web product or systemConduct more informative and actionable A/B testsExplore causal effects, reflecting a deeper understanding of the differences between correlation and causationAlter user behavior in a complex web productUnderstand how relevant human behaviors develop, and the prerequisites for changing themChoose the right statistical techniques for common tasks such as multistate and uplift modelingUse advanced statistical techniques to model multidimensional systemsDo all of this in R with sample code available in a separate code manual We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167243845
Price: 70.43 USD
Location: US
End Time: 2024-11-21T08:40:18.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: Pearson Business Analytics Series
Weight: 0.7
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Title: Product Analytics Applied Data Science Techniques for Actionabl
Release Title: Product Analytics Applied Data Science Techniques for Actionabl
Record Grading: New
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Film/TV Title: Product Analytics Applied Data Science Techniques for Actionab
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Number of Pages: 448 Pages
Publication Name: Product Analytics : Applied Data Science Techniques for Actionable Consumer Insights
Language: English
Publisher: Addison Wesley Professional
Item Height: 1.1 in
Subject: Commerce, Programming Languages / Sql, Databases / Data Warehousing, Databases / Data Mining
Publication Year: 2020
Type: Textbook
Item Weight: 24.5 Oz
Item Length: 9.1 in
Subject Area: Computers, Business & Economics
Author: Joanne Rodrigues
Item Width: 7 in
Series: Pearson Business Analytics Ser.
Format: Trade Paperback