How big data impacted social media and IoT Big data for business strategy Ethics in big data Data logistics Structured, semi-structured, and unstructured data Challenges with data preparation Visualizing big data Predictive analysis
- [Barton] 10 years ago, we were deep in the big data revolution when the volume, the velocity, and the variety of data completely overwhelmed the systems used to store, manipulate, and analyze that data. Now we're in the midst of an artificial intelligence revolution, but it's important to remember that big data hasn't gone away or become irrelevant. Rather, big data has become the new normal. It's everywhere and in fact, it's big data that makes artificial intelligence possible. I'm Barton Poulson and in this course we'll explore the ways that big data has developed in parallel with social media and the internet of things. We'll see how it's added unexpected value to enterprising analytics by improving business strategy and customer interactions. We'll introduce some of the common approaches to analyzing big data and evolving methods for implementing its insights. We'll see how big data relates to data science and machine learning and artificial intelligence. And we'll discuss important issues surrounding data governance and privacy, but this is not a technical discussion. We're not going to demonstrate code or walk through specific algorithms. Rather, this discussion focuses on the concepts that enliven big data. So, if you want to know how you can thrive in the world of big data, data science, machine learning, and artificial intelligence, then regardless of your technical background this course can give you a road map and a better understanding of how to draw on data to do the things that are important to you and to do them more effectively and more efficiently. And so with that in mind, let's get started with Big Data in the Age of AI.
- How does big data fit in the modern data universe? Explore big data’s impact on data science, artificial intelligence, and machine learning, and the methods used with big data.