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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 :Shipping Notes
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4.5 ★★★★★
Based on 2155 reviews
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Product Reviews
★★★★★ 4
Portable format
Format: Paperback
It is a good book , the only inconvenient some links provided did not work and it doesn’t have a portable format available online
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Reviewed in the United States on April 9, 2025
★★★★★ 4
Good book that will help with your RHCSA, But...
Format: Kindle
...watch out for typos and problems with some of the explanations in some parts of the book.
I bought this book (kindle version) and used it to pass the RHCSA. The book is clearly tailored for the RHCSA and to be fair does live up to that reputation. There are a lot of exercises and examples that clearly outline what the author is trying to convey. Examples are clear to understand and if you do the exercises yourself, then you are well on your way to passing the RHCSA.
However, there are a lot of typos big and small and I did send them to the author with the assumption that it would benefit others with the corrections (especially the kindle version). The author was responsive at the beginning acknowledging the errors. I did not check whether they have been fixed or not. I just went through the content after making note of the typos and with the understanding that he would fix it.
The topics are well covered and explained. Three topics that could have been better covered are SELinux, AutoFS and Containers. The explanation uses excessive word-o-logy that leaves somebody new to SELinux with tons of confusion and more questions. I used youtube resources to prep myself on the how and why (Ed Walsh on a youtube channel clearly explains the need for SELinux - I have not seen a better explanation than Ed's anywhere else). The author's coverage of AutoFS is again excessive word-o-logy that is a confusing mess. The examples are fine, but the explanation uses confusing rhetoric that can leave you messed up with NFS and AutoFS setup. I read explanations on direct and indirect mappings and watched a couple of youtube videos before I understood what the author was trying to convey. I pointed out both of these to the author.
The container chapter is missing explanations or examples that the reader is well advised to take note. DIY labs 22-3 and 22-4 relate to rootless containers and therefore has to be launched as a regular user. Both labs require that you launch rootless, persistent data containers with folders under /. However, the author does not mention in any of his examples that this type of container requires you to "chown" the folders under root to belong to the user. If you launch a rootless container with this setup as a regular user without "chown"ing, (even with full DAC permissions for everybody) then SELinux does not want to apply the correct context type (container_t to the shared folder). For both these DIYs, if you make a folder anywhere other than areas that a regular user can write or has access, then you will need to "chown" it to the user before launching the rootless container, otherwise this has to be launched as a root container not rootless. I pointed this out to the author. I did not hear from him. Further, container questions (20,21,22) in mock exam #3 has user60 with a NFS mounted home folder. The questions relate to launching rootless containers as user60 with a NFS mounted home folder. SELinux barfs when it encounters the home folder with a type context as "nfs_t" for user60. It suggests workarounds that did not work for me. I googled it and the latest versions of podman seem to have some fix for the errors associated with a home folder on a NFS server. I tried to research this issue further but had an exam scheduled within days. Therefore, I requested the author for clarification/help. Here again, I did not hear from him. Luckily, I did not have to work on any such scenarios on the real test.
Still, the book is a good reference to the topics on the test and is pretty useful. Although I had to refer to other resources for some chapters, the examples and mock exams are very good.
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Reviewed in the United States on June 12, 2023
★★★★★ 5
Excellent Study Bundle! Don't Let Negative Reviews Fool You!
Format: Paperback
I received the four books in a box, and they arrived brand new and exactly as described. These books are truly great for learning and easy to follow.
I was almost discouraged from ordering because of some of the negative reviews, but I'm so glad I decided to see for myself and ordered this bundle deal.
While the internal pictures and screenshots are not high definition or in color, they are perfectly easy to view and follow along. The author does an excellent job of guiding you, telling you exactly what to look at within the picture to follow along and understand the concepts. All the screenshots are spot-on and very readable.
This is my first set of A+ books from Sybex, and I have the two main study books, the review guide, and the practice questions book. Wow! What else can I ask for?
I used to rely on the big books with the golden covers, but they didn't have the latest editions. Too bad for them—this is a huge gain for me! Thank you, Sybex and Authors!
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Reviewed in the United States on November 12, 2025
★★★★★ 5
Great fully encompassing training
Format: Paperback
Covers all the questions , scenarios for multiple A+ exam options
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Reviewed in the United States on March 23, 2026
★★★★★ 5
I recommend
Format: Paperback
Good condition
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Reviewed in the United States on March 22, 2026
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