includes bibliography

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

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. 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