Data Analytics for Beginners: Introduction to Data Analytics
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About this ebook
Data Analytics For Beginners
Knowing the data generated by your business every day is a key to success in the Data Analytic World that you are competing in. As there is so much data so, the organizations need to collect and store them. The data becomes valuable to businesses when it is analyzed.
Prior to the recent rise in analytics, businesses and organizations did not have the capacity to analyze a great deal of data, so a relatively small amount was maintained. In today's data-driven world, anything and everything may have significance, so there has been an attempt to record and keep virtually any data that we have the capacity to collect; and we have a great deal of capacity.
There is so much to learn in this book about data analytics and I do invite you to grab your copy today and get started!
By downloading this book you will discover...
- Putting Data Analytics to Work
- The Rise of Data Analytics
- Big Data Defined
- Cluster Analysis
- Applications of Cluster Analysis
- Commonly Graphed Information
- Data Visualization
- Four Important Features of Data Visualization Software
- Big Data Impact Envisaged by 2020
- Pros and Cons of Big Data Analytics
- And of course much more!
Get this book today and learn more about Data Analytics!
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Reviews for Data Analytics for Beginners
15 ratings5 reviews
What our readers think
Readers find this title to be an awesome book that provides a good starting point for understanding data analysis. Although it is repetitive in the beginning, it later picks up a good pace. The book is a quick and easy read, making it a great introduction to data analytics for those interested in pursuing this career.
- Rating: 5 out of 5 stars5/5Well, I agree that the book was somewhat repetitive. It is a very good book for a beginner or somebody just exploring the field. This really is an introductory book and doesn’t dive into any one subject or specifics.
- Rating: 1 out of 5 stars1/5Didn’t like it so repetitive quite wasteful and I don’t get why it is a book
- Rating: 5 out of 5 stars5/5Awesome book I'm glad a gave it the time to read. Now I have a better understanding on data analysis.
- Rating: 5 out of 5 stars5/5Nice easy digestable intro to data analytics for people curious on pursuing this career.
- Rating: 4 out of 5 stars4/5Gives you a good starting point I would imagine. Extremely repetitive in the beginning but later had a good pace. The book Is a quick read and if you're starting out, this is not a loss at all
Book preview
Data Analytics for Beginners - Anthony S. Williams
Data Analytics For Beginners
––––––––
Introduction To Data Analytics
By Anthony S. Williams
Table Of Contents
Introduction
Chapter 1: Becoming a Data Analyst
What Do Data Analysts Do?
Data Analytics Sector and Qualifications
Choose Your Career Path
Chapter 2: What is Data Analytics?
Chapter 3: Types of Data Analytics
Descriptive Analytics
Predictive Analytics
Diagnostic Analytics
Prescriptive Analytics
Cognitive Analytics
Chapter 4: The Evolution of Data Analytics
Data Analytics Then
Data Analytics Now
Data Processing
Predictive Modeling
Visualization Technologies
Data Analytics in the Future
Chapter 5: What is Big Data?
Big Data Volume, Velocity, and Variety
Big Data Variability, Value, and Veracity
Why Big Data Matters?
How Does Big Data Work?
Chapter 6: Data Mining
The Process of Data Mining
Data Mining Requirements and Techniques
Data Cleaning
Data Visualization Tools
Cluster Analysis
Conclusion
Copyright © 2021 By Anthony Williams - All Rights Reserved.
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From a Declaration of Principles which was accepted and approved equally by a Committee of the American Bar Association and a Committee of Publishers and Associations.
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Introduction
Even if you know nothing about data analytics, you have probably heard of these two words, especially if you are interested in any computer science field. So, what is data analytics? And is there any difference between data analysis and data analytics?
Data analytics, especially big data analytics, has been and will continue to change and modify the world we live in.
More specifically, data analytics is transforming the ways companies and businesses use the raw data they gather to make valuable conclusions about their products and services.
In this digital world, making the right decisions makes a huge difference between succeeding and failing, and this is why data analytics is necessary.
At a basic level, data analytics is a computer science that involves gathering various kinds of raw data in order to detect and analyze different trends and draw valuable conclusions based on massive data batches collected.
Data analytics involves numerous techniques, and many of these techniques revolve around transforming raw data collected into other forms, which make it possible for businesses and companies to detect and analyze those important business metrics.
If no data analytics techniques are used, all of those important metrics and information that raw data has will