Description: Further DetailsTitle: Data Science for Marketing AnalyticsCondition: NewSubtitle: Achieve your marketing goals with the data analytics power of PythonEAN: 9781789959413ISBN: 9781789959413Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 03/30/2019Description: Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise resultsKey FeaturesStudy new techniques for marketing analyticsExplore uses of machine learning to power your marketing analysesWork through each stage of data analytics with the help of multiple examples and exercisesBook Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions.What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value using linear regressionUse classification algorithms to understand customer choiceOptimize classification algorithms to extract maximal informationWho this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Tommy Blanchard, Pranshu Bhatnagar, Debasish BeheraGenre: Computing & InternetISBN-10: 1789959411Topic: Business & FinanceRelease Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 62.95 USD
Location: 60502
End Time: 2024-11-25T10:53:41.000Z
Shipping Cost: N/A USD
Product Images
Item Specifics
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 or replacement (buyer's choice)
Return policy details:
Book Title: Data Science for Marketing Analytics
Title: Data Science for Marketing Analytics
Subtitle: Achieve your marketing goals with the data analytics power of Pyt
EAN: 9781789959413
ISBN: 9781789959413
Release Date: 03/30/2019
Release Year: 2019
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1789959411
Topic: Business & Finance
Number of Pages: 420 Pages
Language: English
Publication Name: Data Science for Marketing Analytics : Achieve Your Marketing Goals with the Data Analytics Power of Python
Publisher: Packt Publishing, The Limited
Subject: General, Data Processing, Programming Languages / Python, Marketing / Research
Publication Year: 2019
Type: Textbook
Item Length: 3.6 in
Subject Area: Computers, Business & Economics
Author: Tommy Blanchard, Pranshu Bhatnagar, Debasish Behera
Item Width: 3 in
Format: Trade Paperback