000			03185nam a22002057a 4500
020			_a9781636511184
041			_aENG
082			_a005.74 _bSZA
100			_aSzasz, Bianca
245			_aData analytics essentials you always wanted to know: _bfrom raw data to actionable insights - journey through the essentials of data analytics/ _cBianca Szasz
260			_aUSA: _bVibrant Publishers, _c2024.
300			_a198 Pg.: _billustrations: _c18 cm.
440			_aSelf-learning management series
504			_aincludes bibliography
505			_a1. 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
520			_aData 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
650			_aData analytics
650			_aInformation visualization
942			_2ddc _cBK
999			_c23745 _d23745