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Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts
- Narrated by: Sam Slydell, Dryw McArthur
- Length: 5 hrs and 1 min
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Summary
If you want to learn about data analytics and data mining then keep reading....
This is a collection of two comprehensive books in one.
Here are just some of the topics that are discussed in the first part of this audiobook:
- Overview of data analytics - what data analytics is (and big data analytics)
- Further pattern discovery in advanced analytics - machine learning
- And much, much more
In part two of this audiobook, you will learn the following:
- Model creation
- How to prepare your data
- How to clean your data
- Data mining
- Similarity and distances of data
- The effect of data distribution
- Association pattern mining
- What cluster analysis is
- What an outlier in data mining is
- How to deal with outliers in data mining
- Methods of identifying outliers in data
- Applications of data mining in the business industry
So if you are serious about becoming an expert in data analytics and data mining, start with this audiobook!
What listeners say about Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts
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- Fredrik Eklund
- 24-10-18
a well-designed Data Analytics looks like
In this book, Herbert Jones shows us what a well-designed Data Analytics looks like, and teach us how to do it. If you are a data analyst (Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts) or a BI developer, or anyone who is using data to influence business decisions, this book is for you!
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- Leonidas
- 02-02-19
Very well explained!
Very good experience and excellent explanation that meets high standards!
Strongly recommend this analytics book
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- Philip
- 24-05-23
Nice as a theory, lacking practical examples
Perfect book to get enough terms to impress you bosses and nice as a handbook to build analytics from scratch. Unfortunately not that many practical examples.
Sad thing that in Audible chapters are not sorted in a right way so chapter 18 in the app could be chapter 6 in the book.
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