A paperback book titled 'Data Analytics Essentials' by Bianca Szasz stands open on a wooden desk in a bright, modern office setting.
What you’ll learn – data analytics basics, tools, techniques, ethics
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Author introduction video explaining data analytics concepts and book use
Back cover of Data Analytics Essentials You Always Wanted to Know
Data analytics beginner guide book cover – Vibrant Publishers
Data analytics beginner guide book cover – Vibrant Publishers
Back cover of Data Analytics Essentials You Always Wanted to Know
Data Analytics Essentials You Always Wanted To Know

Data Analytics Essentials You Always Wanted To Know

A Practical Guide to Data Analysis Tools and Techniques, Big Data, and Real-World Application for Beginners

★★★★★ (4.8/5) Rated by 1,200+ Readers
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Description

From raw data to actionable insights - journey through the essentials of data analytics.


Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understand the complicated world of data


Data analytics is becoming increasingly important in today's data-driven society, and so has the demand for data analysts. Data Analytics Essentials You Always Wanted to Know (Data Analytics Essentials) is a comprehensive yet succinct manual, perfect for you if you are trying to understand the fundamentals of data analytics. It gives a concise introduction to data
analytics and its current applicability.

Upon reading this book, you will get:

  •  A fundamental comprehension of data analytics, including its types
  • An understanding of data analytics processes, software tools, and a range of analytics methodologies
  • A comprehension of what daily tasks and procedures the data analysts follow
  • An investigation into the vast field of big data analytics, covering its possibilities and challenges
  • An understanding of the existing legal frameworks, as well as ethical and privacy issues in data analytics
  • Application-based learning using a variety of real-world case studies

This book is a great tool for professionals switching to a career in data analytics and for students who want to learn the basics of data analytics. It will give you a strong foundation by explaining everything in an easy-to-understand language.

Data Analytics Essentials goes beyond a theoretical manual and contains real-world case studies and fun facts to help you enhance your knowledge. The chapter summaries and self- assessment tests along with every chapter will help you test yourself as you move from one concept to the next.

Bibliographic Details

Paperback (ISBN): 9781636511184

eBook (ISBN): 9781636511191

Hardback (Color): 9781636511207

Trim Size: 5.5” x 8.5”

Category: Business & Economics

Author: Dr. Bianca Szasz, Vibrant Publishers

Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know
Data Analytics Essentials You Always Wanted To Know

Frequently Asked Questions

Everything you need to know before you buy this combo

Yes. The book introduces data analytics in a clear, beginner-friendly way and includes real-world case studies and supplementary online resources to support practical learning.
The book covers descriptive, inferential, predictive, and prescriptive analytics, helping you understand how different approaches are used to analyze data and support decisions.
Yes. The book walks you through the data analytics process—from defining questions and collecting and cleaning data to analyzing, visualizing, and communicating findings.
Yes. It is designed for students and professionals who want to build a strong foundation in data analytics or explore a transition into a data-related career.
Yes. It introduces Big Data Analytics along with key challenges, technologies, ethical considerations, privacy issues, and regulatory frameworks in data analytics.

Still have a question? Our team is here to help.

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Table of Contents

1. Introduction to Data Analytics

1.1 What is Data Analytics?

1.2 How is Data Analytics Different From Data Science?

1.3 The Importance of Data Analytics in Today's World

1.4 Brief History of Data Analytics

1.5 Key Concepts in Data Analytics

Quiz

Chapter Summary


2. Data Collection and Management

2.1 Planning for Data Collection

2.2 Sources of Data

2.3 Types of Data

2.4 Data Preprocessing

2.5 Data Storage and Retrieval

Quiz

Chapter Summary


3. Types of Data Analytics

3.1 Descriptive Analytics

3.2 Inferential Analytics

3.3 Predictive Analytics

3.4 Prescriptive Analytics

Quiz

Chapter Summary


4. Techniques and Tools for Data Analytics

4.1 Data Analytics Techniques

4.2 Data Analytics Tools

4.3 Best Practices

Quiz

Chapter Summary


5. What Does a Data Analyst Do?

5.1 The Data Analytics Process

5.2 Defining the Questions

5.3 Collecting Data

5.4 Cleaning the Data

5.5 Analyzing the Data

5.6 Visualizing and Sharing the Findings

Quiz

Chapter Summary


6. Big Data Analytics

6.1 What is Big Data?

6.2 Challenges of Big Data Analytics

6.3 Technologies for Big Data Analytics

6.4 Case Studies in Big Data Analytics

6.5 The Future of Big Data Analytics

Quiz

Chapter Summary


7. Ethics and Privacy in Data Analytics

7.1 Ethics in Data Analytics

7.2 Privacy in Data Analytics

7.3 Regulatory Frameworks for Data Analytics

7.4 Future of Ethics and Privacy in Data Analytics

Quiz

Chapter Summary


8. Real-World Case Studies on Data Analytics

8.1 Case Study 1: Walmart - Transforming Retail through Data Analytics

8.2 Case Study 2: Netflix Recommendation System

8.3 Case Study 3: Improving Healthcare Outcomes with Data

Analytics – the Oxford/AstraZeneca COVID-19 vaccine

Quiz

Chapter Summary


9. Glossary

 

10. Bibliography

Author

Dr. Bianca Szasz is a Ph.D. holder in Space Engineering. In over 14 years of experience in engineering and a dedicated focus of 4 years in data analytics, she has used data analytics in a variety of innovative projects, like post-processing of the wind tunnel test results and the analysis of high enthalpy heating test results. Her enthusiasm for data analytics eventually expanded beyond using it for work. Now she is passionate about educating the future generation of data analysts.

Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.

Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

Series

The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.

Editorial Reviews

It is an entry-level teaching textbook, easy to understand, suitable for the preliminary classes in a college course, or serves as a prerequisite reading for a data course.
-- Ting Zhang, Ph.D. Harry Y. Wright Chair, Associate Professor at Merrick School of Business


I think this text is a comprehensive yet succinct manual. It gives a usable introduction to data analytics and is easy to read and comprehend. An added benefit is that the book contains real-world case studies and interesting facts to help enhance existing knowledge. 

A key strength of this text is the option to choose the topics that you want to focus on and the resources that you want to use. This flexibility makes self-directed learning a great option for busy professionals who want to add data analytics skills to their repertoire. If you're interested in self-directed learning for data analytics, there are a few things you need to do to get started, and this text will help!
-- David E Reva Instructor - CIS, Kalamazoo Valley Community College

The book is written in a way that makes it easier for complete beginners like me to start to understand the world of data analytics. Every chapter has a helpful summary and a quiz to test your knowledge. Fascinating!
-- Chiara Colombo, Sr Contracts Analyst, Yahoo! Inc.

Absolutely valuable book that can help to structure your knowledge in data science and data analytics. If you are at advanced level, the book may be not for you however if you are looking to shape your experience or interested in switching career to date rekated, this book is a great help. It can provide an overview of the field, present a structured knowledge set and give a good understanding.
-- Darya Yegorina, DBA - Chief of Staff Strategy & Sales Ops, Verizon

Thanks for the opportunity to review this book. A really good introduction to data analytics, set out logically and sequentially building knowledge and understanding as I read. I was able to put into practice what I was learning and really appreciated the summary and quizzes.
Recommend.
-- Emma Dresser, Senior Project Manager

This book is a comprehensive and detailed "map" of Data Analytics subject, which a professional can use in its first years of career. The book covers everything you need to know at the beginning of the journey and will help you make wise decisions such as which software tool to use to solve a specific problem and what are its advantages and disadvantages. The book abounds with practical examples, quizzes and good practice tips.
-- Cătălin Neacșu, Doctor of Philosophy (Ph.D) in Physics

The book is an excellent resource for anyone interested in data analytics. Whether you're a student, professional, or simply a curious learner, this book provides the knowledge and tools needed to navigate and excel in the world of data analytics.
-- Tamer Abu Rouk, Space Engineer

Great book! It helped me understand all we can do with data analytics tools and, thanks to this book, I have started to implement some data analytics techniques at my own job!
-- Sara Szasz, Chief Economist

This book is excellent as it provides a versatile guide to data analytics for all levels, catering both to beginners as well as for those more experienced in the field. Beginners will appreciate how it simplifies complex concepts, offering clear, structured chapters that make learning the basics both manageable and engaging. For seasoned analysts, the book is a valuable reference, delving into advanced topics with clarity and offering practical, real-world applications of various analytics tools.
-- Dana Neacșu, Competitive Analyst

Supplemental Resources
  • 5 stars: 96 (72%)
  • 4 stars: 37 (28%)
  • 3 stars: 0 (0%)
  • 2 stars: 0 (0%)
  • 1 star: 0 (0%)
A
AmazonLover1996
Good Resource for the Basics

I got this book to brush up on my data analytics skills, and its been a great resource. It breaks down complex topics into really digestible pieces, which is perfect if youre new to the field or just want a refresher. The case studies and practical examples are a nice touchthey make everything feel more real and applicable. I also liked that there are self-assessment tests after each chapter, so you can really see what youve learned. Overall, its a solid guide if youre looking to get a strong foundation in data analytics without getting overwhelmed.

A
April
Great for beginners

I've been wanting to switch careers and get into data analytics so I picked up this book. So glad I read it! It's a solid entry point for anyone looking to understand the basics of data analytics. Its accessible writing style and practical focus make it an ideal resource.The book encourages independent study, with summaries, key takeaways, and review questions that reinforce learning and retention. There are answer keys right after the question portions make it easy to check yourself. I could definitely see teachers using this book in a high school setting to show teens a valid option for future job opportunities.

D
David Johnson

Data Analytics Essentials You Always Wanted to Know is a comprehensive guide that breaks down complex topics into easy-to-understand concepts. This book is perfect for beginners in the field of data analytics, offering step-by-step explanations and real-world examples.

P
Priya Sharma

This book is a must-have for anyone looking to enter the field of data analytics. The language is simple, and the examples used are very relatable. It covers all the essential topics in a concise and easy-to-follow manner. Highly recommended!

L
Leyla Huseynova

I appreciate how the book simplifies complex ideas in data analytics. It’s a valuable resource for students and professionals alike. The detailed chapters on predictive analytics and data visualization were particularly helpful.

A
Ahmet Yildiz

An excellent book for understanding the fundamentals of data analytics. It provides a structured approach to learning and includes practical examples to apply the concepts. I found it very helpful for building my knowledge from the ground up.

T
Thanawat Rungroj

This book is a great introduction to data analytics. It explains everything clearly and is packed with useful insights. The practical examples helped me understand how to apply data analytics in real-world scenarios. A solid resource for beginners.

C
Charlene Hernes
This a great read for beginners in Data Analysts

Data Analytics Essentials is a great read. It teaches you the importance of what Data is, and how it is used. It shows you how to comprehend it, and the different types there are. It gives you information of how it works, what kind of software tools to use. It also lets you understand what the task data analysts use.

Dr. Bianca Szasz the author did some great research to explain about data, and what data analysts use data for. The author made this book easy to understand, and explains why data is needed and how it is used. The author did a great job writing this book.
I hope to hear more from the author in other books.

This book can help businesses succeed. I give this a 50 star rating and will recommend it to others if given the chance.

A
Anna
Very interesting and worthwhile information

This book is great for beginners. Before reading it, I really did not know much about the subject. I found the books language and tone, however, to be instructional in a way that I could comprehend without getting bogged down in too many esoteric complexities. One of the things I found very helpful was how Dr. Bianca Szasz stated the learning objectives from the very beginning. I knew exactly what I was getting into and where I was going. Another beneficial feature of the book is the instruction on how to use the book to your best advantage. I felt that this was immensely helpful. Overall, I would recommend this to anyone who wants to start learning about data analytics, or is curious about this evolving subject.

C
Charlene Hernes
This a great read for beginners in Data Analysts

Data Analytics Essentials is a great read. It teaches you the importance of what Data is, and how it is used. It shows you how to comprehend it, and the different types there are. It gives you information of how it works, what kind of software tools to use. It also lets you understand what the task data analysts use.

Dr. Bianca Szasz the author did some great research to explain about data, and what data analysts use data for. The author made this book easy to understand, and explains why data is needed and how it is used. The author did a great job writing this book.
I hope to hear more from the author in other books.

This book can help businesses succeed. I give this a 50 star rating and will recommend it to others if given the chance.

V
Veronica "Waterfall" Adams
A New Concept To Me

Even though data analytics is new to me. I was surprised at how far its history goes. Professionals the IT industry have got to read this in order to brush up on data analytics. It was great that this book summarizes each chapter so I will be able to understand what data analysis truly is. The types of data analysis and structures were my favorite parts.

C
Charlene Hernes
This a great read for beginners in Data Analysts

Data Analytics Essentials is a great read. It teaches you the importance of what Data is, and how it is used. It shows you how to comprehend it, and the different types there are. It gives you information of how it works, what kind of software tools to use. It also lets you understand what the task data analysts use.

Dr. Bianca Szasz the author did some great research to explain about data, and what data analysts use data for. The author made this book easy to understand, and explains why data is needed and how it is used. The author did a great job writing this book.
I hope to hear more from the author in other books.

This book can help businesses succeed. I give this a 50 star rating and will recommend it to others if given the chance.

A
Anna
Very interesting and worthwhile information

This book is great for beginners. Before reading it, I really did not know much about the subject. I found the books language and tone, however, to be instructional in a way that I could comprehend without getting bogged down in too many esoteric complexities. One of the things I found very helpful was how Dr. Bianca Szasz stated the learning objectives from the very beginning. I knew exactly what I was getting into and where I was going. Another beneficial feature of the book is the instruction on how to use the book to your best advantage. I felt that this was immensely helpful. Overall, I would recommend this to anyone who wants to start learning about data analytics, or is curious about this evolving subject.

L
L.B.
Great Read

This is a great introduction to data analytics. It starts with the fundamentals, tools, best practices, and moves through to the more complex areas of data analytics. I think the real world examples and quizzes included really help the reader gain understanding of the complex areas of data analytics and helps the reader to also apply what they have learned. After reading this book and working through the examples, you know you are capable of implementing what you have been taught.

R
Rajesh Kumar

This book is a great resource for anyone looking to get started with data analytics. The author does a great job of simplifying complex topics and providing real-life examples. It's a must-have for any aspiring data analyst or business professional looking to make data-driven decisions.

E
Emily Thompson

Data Analytics Essentials You Always Wanted To Know is a fantastic introduction to the world of data analytics. It breaks down complex concepts into easy-to-understand language, making it perfect for beginners. I found the examples and case studies to be particularly helpful in understanding the practical applications of the theories discussed.

M
Mehmet Yilmaz

As someone who is relatively new to data analytics, I found this book extremely useful. The content is well-structured, and the explanations are clear and concise. The only downside is that it could include more advanced topics, but it's perfect for beginners.

N
Napat Suksri

This book provides a clear overview of data analytics, ideal for someone just starting out in this field. I liked how the author used everyday examples to explain complex ideas. However, I wish there were more interactive exercises to practice the concepts learned.

L
Leyla Mammadova

A very comprehensive guide for beginners in data analytics. The book provides a strong foundation in the basics and introduces more advanced concepts in an accessible way. I appreciated the practical examples that demonstrate the real-world applications of the techniques discussed.

D
Do Gia Han (Vietnam)
A great first book on data analytics

This gave me a clear, well organized introduction to analytics without drowning me in jargon. Working through data types, preprocessing, and case studies made the field feel approachable. It left me ready and motivated to keep learning.

T
Trinh Bao Ngoc (Vietnam)
A great first book on data analytics

This gave me a clear, well organized introduction to analytics without overwhelming me with jargon. Working through the data types, preprocessing, and case studies made the field feel approachable. It left me ready and motivated to keep learning.

R
Rashad Aliyev (Azerbaijan)
Invaluable Desk Reference for Business Analysts

Covers data wrangling, statistical sampling, data governance, and dashboard interpretation thoroughly without overwhelming readers with complex mathematical formulas.

S
Sneha Iyengar (India)
Clear Roadmap for Translating Raw Data into Business Value

The real-world examples illustrating descriptive, diagnostic, predictive, and prescriptive analytics provided immediate clarity on how companies make data-driven decisions.

N
Nattapong Suksom (Thailand)
Great Primer on Descriptive and Predictive Modeling

A thorough introductory overview that clearly explains how organizations turn raw data streams into predictive intelligence. Highly recommended for business analysts.

T
Thanakorn Charoen (Thailand)
Well Structured and Highly Engaging

The conceptual diagrams, tables, and self-assessment quizzes at the back of each chapter kept me engaged throughout. Excellent value for self-paced learning.

L
Le Hoang Nam (Vietnam)
Boosted Our Team's Data Visualization Efficiency

Our marketing and BI teams used this book as a practical standard for building executive dashboards and presenting data-driven stories effectively.

R
Rohan Deshmukh (India)
Perfect Resource for Self-Paced Learning in Analytics

If you want to understand how modern enterprises transform raw datasets into actionable strategy without getting stuck in academic jargon, start here.

K
Krit Passakorn (Thailand)
Great Primer for Professionals Transitioning into Tech

A very well-structured book. It provides clear guidance on hypothesis testing, data visualization best practices, and data modeling concepts for non-technical managers.

B
Bui Hoang Yen (Vietnam)
Smooth Reading with Clear Technical Definitions

Stripped of unnecessary technical jargon, this book offers a pristine explanation of metrics, KPIs, data governance, and analytics tools. A must-read.