Utility Analytics 101
Utility Analytics 101 is creating better citizen data scientists. This training is an introduction to utility analytics. You will learn about utility analytics terms and relationships, and about the world of data, including big data, databases, data structures, and data types. You will benefit from learning about utility analytics uses cases in various focus areas like asset health analytics, customer analytics, grid analytics, and safety analytics. You will explore data analysis and data prep with SQL. There is an introduction to and demonstrations of the fundamental concepts and best practices of data visualizations and you will learn how best to communicate results from your data analysis. Lastly, you will get time for application work and you will put it all together with Python.
Speaker
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Sridhar RadhakrishnanCo-Director, Data Science and Analytics Institute Interim Associate Dean for Partnerships, Gallogly College of EngineeringSridhar Radhakrishnan has been a faculty member at OU since the fall of 1990. He completed his Ph.D. in computer science from Louisiana State University and earned an MS in Systems Science and an M.L.I.S degree. He completed his B.Sc in Physics from Vivekananda College, University of Madras, India, and a B.S. in Computer Information Systems from the University of South Alabama, Mobile, Alabama. His research areas include graph algorithms, high performance computing, computer networks, and computational finance. He has published numerous research monographs and a textbook on Data Structures. He has been a PI and a co-PI on many research grants from state and federal agencies, and industry. He is a member of the ACM and a senior member of the IEEE. He currently serves as one of the commissioners for the computing accreditation commission of ABET.