Applications and Implications of Analytics and Big Data

If you are interested in big data and data science, this is the course for you. Explore why and how the Era of Big Data has come to be and understand technology transitions in today's new trust economy. This is a great first step if you are starting to think about how big data might be useful in your life or business. This course specifically discusses the applications and implications of big data in today's data driven world.

After this course, you will have a better understanding of:

  1. The history of technology transitions and how a data-driven distributed-trust economy came to be.
  2. What lies beneath these technological trends, including Moore's law, Nielsen's law and other exponential technological trends.
  3. The ethical and economic implications of narrow artificial intelligence and big data.
  4. The different types of machine learning and resources to start a career in data analytics.
  5. The moral and ethical implications of a general artificial intelligence.

 

Instructor

Avinash Nayak

Dr. Avinash Nayak received his Ph.D. in Electrical Engineering from UT Austin. While working as a senior data analyst in leading technology companies he has provided data-driven solutions through advanced analytics techniques to a broad spectrum of operations and functions.

Course Outline

After this course, students will gain understanding in:

  1. The history of technology transitions and how a data-driven distributed-trust economy came to be.
  2. What lies beneath these technological trends, including Moore's law, Nielsen's law and other exponential technological trends.
  3. The ethical and economic implications of narrow artificial intelligence and big data.
  4. The different types of machine learning and resources to start a career in data analytics.
  5. The moral and ethical implications of a general artificial intelligence.
Word cloud with big data and other associated terms
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