Data Analytics Essentials You Always Wanted To Know

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

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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

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3. Types of Data Analytics

3.1 Descriptive Analytics

3.2 Inferential Analytics

3.3 Predictive Analytics

3.4 Prescriptive Analytics

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4. Techniques and Tools for Data Analytics

4.1 Data Analytics Techniques

4.2 Data Analytics Tools

4.3 Best Practices

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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

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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

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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

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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

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9. Glossary

10. Bibliography

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.

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.

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

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