Academics & Research

International Seminar on ‘Analytics and Data Learning’

“The goal is to turn data into information, and information into insight.” -Carly Fiorina

The main purpose of learning Data analysis is to find meaning in data so that the derived knowledge can be used to make informed decisions Learn how to visualize your data with Tableau for statistical analysis and identify unique relationships between variables via hypothesis testing and modeling Evaluate the output captured in statistical analyses and translate them into insights to inform product decisions.

Thus this seminar focused on data analytics, analyzing raw data to find trends and answer questions, the definition of data analytics captures its broad scope of the field. However, it includes many techniques with many different goals. The programme started at 9:00 am. The welcome address was given by Dr. Shish Ahmad Associate Professor, Opening remarks and introduction of the programme were given by Dr. Sheeba Parveen and Mohd Usman Khan Assistant Professor, Department of Computer Science & Engineering. Later in the program speakers were introduced and they presented their topics. The first Speaker Md Abdul Gafur, Data Engineering Manager at Accenture Kolkata , talked about Big Data Analytics use Cases & job research opportunities in online mode. The next speaker Mr. Azhaan Zahabee, SDE Amazon web services silicon valley, Talked about Building Large Scale Microservice Driven Applications in online mode. Mr. Lau Sian Lun, Dean, Sunway University, Malasiya, talked about solving real world problems with Big Data Analytics and Cloud in online mode. The offline speaker Anurag Banoudha, director e-brains, Techno solution, IISC, Bangalore talked about Data Learning Challenges and Tradeoffs in the modern world in offline mode. The next offline expert Speaker, Mr. Akash Agrawal, Technical Project Leader at Oracle, Calcutta. He has 8+ years of industry experience in product and application development, He talked about analytics as well as a few other topics related to business and marketing. He explained how data is examined and applied in the business world. All of the information was included in his presentation.