Big Data in the Age of AI [Released: 1/13/2025]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 29m | 318 MB
Instructor: Barton Poulson
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 29m | 318 MB
Instructor: Barton Poulson
Explore the integral relationship between big data and artificial intelligence in this comprehensive course. In this course, Barton Poulson—a professor, consultant, entrepreneur, and data expert—delves into the three Vs of big data: volume, velocity, and variety.
Find out how they drive AI advancements. Learn how to handle enormous datasets, use machine learning algorithms, and employ predictive analytics to discover valuable insights. Discover techniques for anomaly detection, text analysis, and sentiment analysis. Understand the ethical considerations, legal implications, and environmental impacts associated with big data usage. Engage with real-world applications and see how big data translates into actionable small data for end-users. By the end of this course, you will be equipped with the skills to transform raw data into powerful, insightful, and practical solutions for your professional needs.
Learning objectives
- Identify the components that make up big data.
- Examine how big data has grown over the last few years.
- Explain the importance of using big data in business organizations.
- Distinguish between knowledge requirements for using big data and for understanding data science.
- Justify the need for training on big data within an organization.
- Analyze the factors that go into utilizing big data on a project.
- Differentiate outcomes that are derived from big data from outcomes that are derived from observing behaviors.