WEBINAR: How To Use Data Science Tools And Techniques Like A Pro
Data Science has become a crucial part of most organisations by now. Companies are dealing with a lot of data and handling it can be a huge challenge. The Data Science field strives to extract knowledge and insights from data in various forms, either structured or unstructured. It draws techniques and theories from mathematics, statistics, and others to help in manage, analyse and interpret data. The Indian Institute of Management, Calcutta (IIMC) will be conducting a webinar with its expert faculty — Prof Preetam Basu and Prof Indranil Bose — to help Data Science professionals achieve expertise in using different Data Science tools and techniques. In the one-hour webinar session, attendees will be exposed to IIMC’s advanced program in Data Science and how it can add value to working professionals who like to have hands-on experience with data. As Analytics has become an indispensable part of organisations, it is important to understand how to use it to make efficient strategies and tactical decisions. Register for the webinar here. Webinar Details Topic: Analyze, discover & innovate in a data-rich world: An insight to IIM Calcutta’s Advanced Programme in Data Sciences Synopsis: Handling, managing, analysing and interpreting data using different Data Science tools and techniques Date: 10 August 2019, Saturday Time: 12:00 pm to 01:00 pm Register here. Speakers Prof Preetam Basu PhD, University of Connecticut; MS (Applied Mathematics), University of Minnesota Dr Preetam Basu is an Associate Professor at IIM Calcutta and teaches operations management. He has a PhD from the University of Connecticut and an MS in Applied Mathematics from the University of Minnesota. With a research interest in supply chain management, working capital management, modelling financial services, revenue management and others, he has many peer-reviewed publications under his credit. He has presented many international papers and conferences throughout his career. Prof Indranil Bose PhD (Management), Purdue University; MS (Industrial Engineering), Purdue University Dr Indranil Bose is the Professor of MIS and co-ordinator IIMC Case Research Center at IIM Calcutta. He has a PhD in management and an MS in Industrial Engineering from Purdue University. He currently teaches courses on business risk management, creating and managing innovative ICT startups, green business environment, and more. He has also taught at the University of Hong Kong, the University of Florida and the University of Texas. He has several research papers, conferences and awards under his name. Register for the webinar here. Who Should Attend The Webinar The webinar will add value to working professionals who like to have a hands-on experience while working with data and making sense of it Those who are looking to implement Data Science as an essential part of their tools and techniques in their organisation will find this session stimulating and challenging as it gives insight on handling, managing and analysing data using different tools What Will You Learn From The Webinar Attendees will get an exposure to hands-on implementable tools and techniques for handling, managing, analysing and interpreting data along with Analytical Skills. Register here.
Data Science has become a crucial part of most organisations by now. Companies are dealing with a lot of data and handling it can be a huge challenge. The Data Science field strives to extract knowledge and insights from data in various forms, either structured or unstructured. It draws techniques and theories from mathematics, statistics, […]
IIMC will be conducting a webinar with its expert faculty to help Data Science professionals achieve expertise in using different Data Science tools.
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["data science", "API", "AWS", "AI", "cloud_platforms:AWS", "programming_languages:R", "analytics", "GAN", "R", "startup"]
["AI", "data science", "analytics", "AWS", "R", "API", "GAN", "startup", "cloud_platforms:AWS", "programming_languages:R"]
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.