
Premium
Opening Credits
1/24/2026
Introduction
1/24/2026
Chapter 1 understanding big data
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Chapter 2 fundamentals of data analytics
1/24/2026
Chapter 3 data collection and storage
1/24/2026
Chapter 4 data analysis techniques
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Chapter 5 introduction to big data tools
1/24/2026
Chapter 6 data visualization
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Chapter 7 business intelligence and
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Chapter 8 ethics and privacy in big data
1/24/2026
Chapter 9 real world applications
1/24/2026
Chapter 10 getting started with big data
1/24/2026
Opening credits
1/24/2026
Chapter 1 introduction to machine
1/24/2026
Chapter 2 foundations of data science
1/24/2026
Chapter 3 types of machine learning
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Chapter 4 supervised learning
1/24/2026
Chapter 5 unsupervised learning
1/24/2026
Chapter 6 model evaluation and selection
1/24/2026
Chapter 7 feature selection and
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Chapter 8 advanced topics in machine
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Chapter 9 the predictive modeling
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Chapter 10 deploying models into
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Chapter 11 case studies
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Chapter 12 future trends in machine
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Chapter 13 challenges and ethical
1/24/2026
Chapter 14 resources and tools
1/24/2026
Chapter 15 conclusion
1/24/2026
Chapter 1 introduction
1/24/2026
Chapter 2
1/24/2026
Chapter 3
1/24/2026
Chapter 4
1/24/2026
Chapter 5
1/24/2026
Chapter 6
1/24/2026
Chapter 7
1/24/2026
Chapter 8
1/24/2026
Chapter 9
1/24/2026
Chapter 10 conclusion
1/24/2026
Ending Credits
1/24/2026