Local cover image
Local cover image
Image from Google Jackets

Data analytics : [become a master in data analytics] / written by Richard Dorsey.

By: Material type: TextPublication details: UK : [CreateSpace Independent Publishing Platform], 2017.Description: 67 p. ; 23 cmContent type:
  • text
ISBN:
  • 9781547089291
Subject(s): DDC classification:
  • 658.83
Contents:
Ch. 1. The basics of data analytics -- Ch. 2. Terms you want to know -- Ch. 3. Challenges for data analytics -- Ch. 4. Risks of data analytics -- Ch. 5. The different types of data analytics -- Ch. 6. Benefits of data analytics -- Ch. 7. Techniques to use with data analytics -- Ch. 8. The decision tree -- Ch. 9. Real world example of data analytics -- Ch. 10. Conducting data analytics for businesses.
Summary: Analyzing data is not easy, due to the fact that you have to figure out which type of data analytics you are going to use, as well as defeat the challenges that you will come up against when it comes to analyzing data. With this book, it is our goal to show you the easiest way to work with data analytics and how you are going to avoid some of the challenges and risks that you will be putting yourself up against when you are working with data. You will realize that analyzing data is not the easiest thing in the world. However, it is going to get easier the more that you practice. Just guarantee that you are taking the time to practice and do not put too much pressure on yourself. In this book, you are going to learn: - The risks of data analytics - The types of data analytics that are out there in the world - What the decision tree is - The benefits of using data analytics - Real world examples that will show you how you are going to be able to take this knowledge and apply it to your everyday life. Data analysis happens no matter what line of work you are in, and it is my hope that with this book, you are able to learn everything that pushes you further in your knowledge of data analysis!
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Barcode
Books Marbella International University Centre Library 658.83 DOR dat (Browse shelf(Opens below)) Available 11755

Ch. 1. The basics of data analytics --
Ch. 2. Terms you want to know --
Ch. 3. Challenges for data analytics --
Ch. 4. Risks of data analytics --
Ch. 5. The different types of data analytics --
Ch. 6. Benefits of data analytics --
Ch. 7. Techniques to use with data analytics --
Ch. 8. The decision tree --
Ch. 9. Real world example of data analytics --
Ch. 10. Conducting data analytics for businesses.

Analyzing data is not easy, due to the fact that you have to figure out which type of data analytics you are going to use, as well as defeat the challenges that you will come up against when it comes to analyzing data.

With this book, it is our goal to show you the easiest way to work with data analytics and how you are going to avoid some of the challenges and risks that you will be putting yourself up against when you are working with data.

You will realize that analyzing data is not the easiest thing in the world. However, it is going to get easier the more that you practice. Just guarantee that you are taking the time to practice and do not put too much pressure on yourself.

In this book, you are going to learn:
- The risks of data analytics
- The types of data analytics that are out there in the world
- What the decision tree is
- The benefits of using data analytics
- Real world examples that will show you how you are going to be able to take this knowledge and apply it to your everyday life.

Data analysis happens no matter what line of work you are in, and it is my hope that with this book, you are able to learn everything that pushes you further in your knowledge of data analysis!

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image


© Marbella International University Centre, 2024. All rights reserved.

(Koha-ILS, Implemented and customized by MIUC Library in 2015)