Big Data Analytics for Beginners
Chuck Sherman
In our increasingly data-driven world, understanding the fundamentals of big data analytics is essential for both professionals and beginners. "Big Data Analytics for Beginners" is your comprehensive guide to unravel the mysteries of data analysis and...
Location:
United States
Description:
In our increasingly data-driven world, understanding the fundamentals of big data analytics is essential for both professionals and beginners. "Big Data Analytics for Beginners" is your comprehensive guide to unravel the mysteries of data analysis and tap into the transformative power of big data. This book takes you on a journey through the fascinating realm of data analytics, catering to readers with little to no prior experience in the field. Whether you're an aspiring data scientist, business professional, student, or simply curious about the world of data, this book provides a solid foundation for your data analytics journey. "Big Data Analytics for Beginners" is your roadmap to mastering the world of data analytics. With its clear explanations, practical examples, and valuable insights, this book empowers you to leverage data for informed decision-making, problem-solving, and innovation. Take your first steps into the world of big data analytics and unlock the potential of data in today's data-rich environment. Duration - 11h 30m. Author - Chuck Sherman. Narrator - Ray Collins. Published Date - Sunday, 25 January 2026. Copyright - © 2025 Khin Soe ©.
Language:
English
Opening Credits
Duration:00:00:07
Introduction
Duration:00:00:42
Chapter 1 understanding big data
Duration:00:17:32
Chapter 2 fundamentals of data analytics
Duration:00:23:08
Chapter 3 data collection and storage
Duration:00:18:48
Chapter 4 data analysis techniques
Duration:00:10:53
Chapter 5 introduction to big data tools
Duration:00:44:30
Chapter 6 data visualization
Duration:00:32:34
Chapter 7 business intelligence and
Duration:00:26:55
Chapter 8 ethics and privacy in big data
Duration:00:08:53
Chapter 9 real world applications
Duration:00:34:19
Chapter 10 getting started with big data
Duration:00:32:53
Opening credits
Duration:00:00:10
Chapter 1 introduction to machine
Duration:00:16:30
Chapter 2 foundations of data science
Duration:00:12:25
Chapter 3 types of machine learning
Duration:00:10:34
Chapter 4 supervised learning
Duration:00:13:59
Chapter 5 unsupervised learning
Duration:00:09:43
Chapter 6 model evaluation and selection
Duration:00:16:06
Chapter 7 feature selection and
Duration:00:45:01
Chapter 8 advanced topics in machine
Duration:00:26:05
Chapter 9 the predictive modeling
Duration:00:13:17
Chapter 10 deploying models into
Duration:00:13:43
Chapter 11 case studies
Duration:00:18:21
Chapter 12 future trends in machine
Duration:00:12:20
Chapter 13 challenges and ethical
Duration:00:33:33
Chapter 14 resources and tools
Duration:00:20:00
Chapter 15 conclusion
Duration:00:05:20
Chapter 1 introduction
Duration:00:45:00
Chapter 2
Duration:00:12:28
Chapter 3
Duration:00:13:38
Chapter 4
Duration:00:13:12
Chapter 5
Duration:00:10:52
Chapter 6
Duration:00:17:59
Chapter 7
Duration:00:16:00
Chapter 8
Duration:00:16:37
Chapter 9
Duration:00:14:51
Chapter 10 conclusion
Duration:00:11:21
Ending Credits
Duration:00:00:08