Data Analytics

  • by Charles Jensen
  • Narrated by Judy Rounda
  • 3 hrs and 33 mins
  • Unabridged Audiobook

Publisher's Summary

Three amazing books in one about analyzing and mining data!
Audiobook 1: Learn more about how to analyze data now! This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. You'll learn, among others:


What the big deal with big data is and what to do with them
Fundamentals, risks, and strategies to analyze data
Social network data analysis
Applications to health care, business, and industrial data
Tips on analyzing decision trees, regression, and sentiment
The most important basics each analytical geek wants to know before they take these practices to the next level

Audiobook 2: 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 thoughts
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

Audiobook 3: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement, in order to get results that are precise and beneficial. Learn about:


Modeling data and visualization
The three V's of big data and what to do with them
Software recommendations and applications
Machine algorithms and interesting side notes regarding them
Rules, infrastructure, adaptation, and other techniques
Perception and cognition basics that apply to data
Efficient uses of regression, database querying, machine learning, and data warehousing

More

See More Like This

Customer Reviews

Most Helpful

Best data mining book in business context

This is by far the best Data Mining book that has a business focus. There are 100 data mining books that will tell you how, for example, neural network works. But you will still be blank where and how to apply this.
In short, this is a book that tells you when to use data mining, how to use data mining and how to evaluate the models in a business context. It offers many real business examples. If you are truly interested in data mining solutions for business, this is the book to read.
Read full review

- muzainah

Great book for providing a high level summary

Great book for providing a high level summary of data science techniques to people that may not care about the mathematical details. I tend to recommend this to people more worried about building up a working knowledge of classic problems and approaches in data science rather than for those wanting to look at page after page of detailed math related to probability distributions. The authors took up the challenge of writing a timeless book in a field undergoing fast technological growth. If you want to manage successful teams in data science and data-analytic thinking this book is a must. I highly recommend it!
Read full review

- Olivia

Book Details

  • Release Date: 08-28-2017
  • Publisher: Charles Jensen