Hands-On Data Science for Marketing
SKU: 74688677129

Hands-On Data Science for Marketing

Sale price$1414.87 Regular price$1572.08
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Description

Hands-On Data Science for MarketingLearn : Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A B testing for better marketing decision making Implement machine learning to understand different customer segments About : Regardless of company size, the

Learn : Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments About :Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.Features : Understand how data science drives successful marketing campaigns Use machine learning for better customer engagement, retention, and product recommendations Extract insights from your data to optimize marketing strategies and increase profitability About The Author : 
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SKU: 74688677129

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Reinhard Boyd
San Leandro, US
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Most Unique Movado Watch
The most unique Movado Bold watch. You cannot find another watch like this. It's both elegant and sporty.
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Reviewed in the United States on September 23, 2025
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Tech Junkie
Alexandria, US
★★★★★ 5
Well worth the price!
Very good looking watch. Well made and comes neatly packaged inside a nice box. Looks even better in person. You’ll love this watch.
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Reviewed in the United States on June 12, 2025
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Whiting, US
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Great watch!
Style: Dress, Color: Gold Tone Stainless Steel
BEAUTIFUL WATCH and excellent horology you would expect from Citizen.
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Nicole Palochik
New York, US
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Great Buy
Style: Dress, Color: Two-Tone Gold/ Blue Dial, Style: Dress, Color: Two-Tone Gold/ Blue Dial
Stunning watch!! Purchased for my boyfriend for his birthday. He is a bigger guy with a larger arm/wrist so the size of this watch looks great on him. He receives a ton of compliments on it, and it still catches my eye every time he wears it. Decent weight without being too heavy (he reports). Perfect to wear as a daily watch or dress up with
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Patrick Caputo
Houston, US
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Quality and “Executive” Look
Style: Dress, Color: Two-Tone Gold/ Blue Dial
Quality you come to expect from Citizen. Looks and feels like a more expensive watch without busting your wallet. I get the most compliments on this watch over any other I own!
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Reviewed in the United States on April 18, 2025

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