Data Analytics for Beginners: Introduction to Data Analytics

By Anthony S. Williams

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!

• Language: English
• Publisher: Anthony S. Williams
• Release date: Nov 2, 2019
• ISBN: 9798201285128

Book preview

Data Analytics For Beginners

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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

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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

Reviews for Data Analytics for Beginners

[amnahamdan98 · Rating: 1 out of 5 stars]

Didn’t like it so repetitive quite wasteful and I don’t get why it is a book

[Jeffrey Hilaire · Rating: 5 out of 5 stars]

Awesome book I'm glad a gave it the time to read. Now I have a better understanding on data analysis.

[Victor Cordova · Rating: 5 out of 5 stars]

Nice easy digestable intro to data analytics for people curious on pursuing this career.

[Alexander Sjöstrand · Rating: 4 out of 5 stars]

Gives 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