CEO BigDataTrunk&Certify360.ai | Author

This is live session we do for Stanford but have opportunity to include public audience.
Build a strong AI and Data Science foundation so you can evaluate use cases, work with data, and apply AI responsibly.
Break down key AI, ML, data, and analytics terms to build a practical technical foundation.
Classify structured, semi-structured, and unstructured data for analysis and decision-making workflows.
Analyze real-world use cases across healthcare, finance, retail, education, and manufacturing.
Explore the fundamentals of Artificial Intelligence and Data Science, including how data is collected, analyzed, and used to build intelligent systems. Learn how AI and data-driven technologies solve
Learn the essential concepts and terminology used in AI and Data Science, including data, algorithms, machine learning, models, and analytics. Build a strong foundation for understanding how intellige
Understand the different types of data used in AI and Data Science, including structured, unstructured, and semi-structured data. Learn how various data formats are collected, stored, and analyzed for
Explore how AI and Data Science are transforming industries such as healthcare, finance, education, retail, and manufacturing. Learn how organizations use data-driven insights and intelligent systems
Understand the ethical considerations and limitations of AI and Data Science, including privacy, bias, transparency, and responsible use of data. Learn the importance of building fair, secure, and tru
Learn how to make informed decisions when applying AI and Data Science solutions to real-world problems. Understand how to evaluate data, select suitable approaches, and use AI responsibly for effecti

CEO BigDataTrunk.com , Academy360.ai &Certify360.ai | Author
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Business Analyst
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