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Publisher's Summary

Learn how to mine data, and what to look for in statistics!

Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions. Data are facts you can rely on, if you draw the right conclusions. Drawing those conclusions requires certain skills and a background in knowledge that leads to the proper steps. This guide will help you along the way by addressing topics such as:

  • The what and why of data mining, and the different applications to business-related topics
  • Attributes, classifications, datasets, and types of learning you need to understand, to fully be aware of what you are dealing with
  • Data quality and data quantity thought
  • Data mining process steps, including CRISP-DM and SEMMA
  • Linear, probabilistic, and other models to use in the visualization and analysis of data you have found
  • Techniques such as clustering, viewing genetic algorithms, and neural networks
  • Evaluation analysis strategies, classification, and numeric predictions
  • And much more!

Curious yet? Then don't wait and start listening, so you don't have to remain in the dark. Save yourself the time and learn from what worked for me. I will see you in the first chapter!

©2017 Charles Jensen (P)2017 Charles Jensen

What members say

Average Customer Ratings

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  • 4.8 out of 5.0
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Improve your data science

What made the experience of listening to Data Mining the most enjoyable?

If you know what you're doing as a data scientist you will learn so many ideas that you'll for sure increase your models predictive power. a good overview for the semi-technical business reader. Explains the critical areas of Data Science with appropriate depth to understand concepts etc.

What about Judy Rounda’s performance did you like?

YES

Did you have an extreme reaction to this book? Did it make you laugh or cry?

NO

Any additional comments?

This book addresses the topic of Big Data in a practical, understandable manner. Some books are too technical or the authors seem to be learning as they go. These guys know what they are talking about well enough to really be able to explain it.

1 of 1 people found this review helpful

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Well-organized text

This is an excellent textbook on data science. The text itself explains concepts and theories well and provides definitions, examples, and formulas that help the reader understand and apply these concepts. The information presented is well-organized, and the visual aids include ample graphs and charts. The only exception our instructor took with the text during my course was their insistence that only the best data scientists should be considered. Removing this bias, the information provided was clear, concise, and helpful for anyone working with big data or in data analytics.

1 of 1 people found this review helpful

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Best book on this topic I've read

Best book on this topic I've read. Superior in all respects. Greatly reduces the learning curve, and demystifies the concepts. The book follows the standard business data science pipeline, from business problem definition to strategical data-driven decision-making, and highlights in the process the different caveats, in communication or methodology, displaying some tools or processes to avoid falling in these.

All-in-all a pretty good approach which comes out of the crowd both of the business and of the tech literature on big data.

1 of 1 people found this review helpful

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Great entry level book.

Great introduction to the role of Data Science in Business Analytics applications across any organisation. Avoids math complexities of the Data Science methods and techniques and always keep the focus on business value delivered by a data science solution! Excellent book with the right balance of technical information and business applications

1 of 1 people found this review helpful

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Data Mining Techniques

The techniques demostrated in this book will allow a novice to start extracting value from customer data within any enterprise.I was looking for a reference book that could bring me a clear picture of all data mining techniques for marketing and CRM, and there it was. But it goes beyond that, it brings many examples and tips that makes the life eaiser to the data miner. Highly recommended.

1 of 1 people found this review helpful

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Just what I needed

This book - has a lot of content - all with quite good relevant examples.
Where this book fails is - in its technical details. This is probably a good book for managers - who need to know the basics of what this whole thing is about.

1 of 1 people found this review helpful

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Solid introduction to data mining

I haven't made it through the entire book, but this serves as a solid reference for different topics in data mining. I used it in a graduate level course I took this spring and it was easy to read and understand. I was looking for a reference book that could bring me a clear picture of all data mining techniques for marketing and CRM, and there it was. But it goes beyond that, it brings many examples and tips that makes the life eaiser to the data miner. Highly recommended.

1 of 1 people found this review helpful

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The best chapters

Was there a moment in the book that particularly moved you?

Good stuff I likes this book

Any additional comments?

The book provides a very general overview of data mining concepts. It is primarily for non-technical audience. Its chapters on statistical methods are weak. The best chapters are on neural nets and clustering. Text mining is incredibly superficial.

1 of 1 people found this review helpful

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useful information

I have read a couple of books about data science. Reading this one is most enjoyable. I cannot put it down. I found a lot of useful information from examples in different industries. Highly recommend. I do have years of hands on experience on data mining.

1 of 1 people found this review helpful

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Comprehensive to say the least

Data Mining Techniques are the new required skill set for business professionals. Learning techniques from a professionals Charles Jensen provides an excellent foundation I am not only enjoying the book, but also finding good examples that I can apply in my business straightaway.

1 of 1 people found this review helpful