Data Analytics Essentials You Always Wanted To Know
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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
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.
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
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
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Customer Reviews
This is a beginner-friendly guide that explains the basics of data analytics. Its part of the Self-Learning Management Series, which aims to make complex topics easy to understand. Overall, this book is a great starting point for anyone looking to learn about data analytics. Its clear explanations and practical examples make it a valuable resource for beginners.
This is a decently legit intro to the basics of data analytics and other data-related concerns. It's mostly intended for private businesses (as demonstrated by the case studies being private businesses) and the people who work in them, but since AI and big data are two of the big current conceptual fads in technology, this would be a worthwhile read for people working in the public sector, the military, or pretty much anywhere else that's concerned with big data, data science, ethical/legal/privacy concerns arising from big data, and other similar issues.
It doesn't give a lot of math problems or equations, but that's ok - this isn't intended to be a technical manual for coders or computer science people, but rather a conceptual overview for everyone else. It succeeds very well in that sense.
This book is a good introduction to concepts of data analytics. Topics are well-organized and covered at a beginning level in clear language. The numerous references provide opportunities for further examination of particular subjects. The chapter questions are helpful for review. I would have enjoyed more detail in the case studies. This volume is very definitely an introduction to the subject, but should prepare the reader to more confidently move on to other sources with more detail and hands-on material.
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.
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.
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