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: Vibrant Publishers, Dr. Bianca Szasz
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
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.
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
Dr. Bianca Szasz's book "Data Analytics Essentials You Always Wanted To Know" provides an authoritative and approachable overview of the complex area of data analytics. The book is appropriate for readers of all experience levels since it skillfully explains important ideas. Dr. Szasz demystifies difficult subjects with clear explanations and real-world examples, giving users the tools to use data analytics in different situations. Even if the book's part on AI tools could use some updating, it's still a great reference for those just starting in data analytics or brushing up on their skills. A practical and useful book that is recommended.
This book exceeded my expectations! It’s well-written and provides a great foundation in data analytics. I appreciated the clear explanations and the focus on real-world applications. Perfect for anyone looking to build their knowledge in this area.
This book is a fantastic introduction to data analytics. It covers all the essential topics in a clear and concise manner. As someone new to the field, I found the examples very practical and easy to follow. I highly recommend this to anyone looking to get started with data analytics.
A good starting point for beginners. The book covers the basics thoroughly and is easy to understand. I found the case studies particularly helpful. However, more advanced readers might find it too basic.
A comprehensive guide for beginners! The concepts are explained well, and the book is structured in a way that makes it easy to learn. Some sections could use more detailed examples, but overall, it’s a solid resource for anyone new to data analytics.
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