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Data Mining

Beginners' Analytics Guide for Business and Science
Narrated by: Judy Rounda
Length: 1 hr and 5 mins
Categories: Business, Career Skills

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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

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  • muzainah
  • 16-09-17

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

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  • jency
  • 15-09-17

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.

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  • mashaziya
  • 14-09-17

Most practical data mining book!

Really interesting read. As an experienced data miner, I still learned a lot from reading this book, mainly because of its fascinating state of the art applications (for example I really like the advertising examples) which are tied up nicely with the theory. It provides a unique comprehensible overview of techniques and applications of data science. I started recommending my business partners who work on (any kind of) data to read this book. Also makes for a great textbook for business schools

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  • patrick
  • 13-09-17

The perfect balance

I needed this book for a class, but I would tell you that it is one of the most valuable that I have purchased. A must have if you are thinking about a data analytics or data science career.

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