About The Workshop
Department of Computer Science and Engineering, IIT (BHU) is going to organise one-day workshop on “A Foundation program on Data Science”. It is designed to provide participants with the concepts and experience necessary to begin with solving data exploration, data preparation, analysis, predictive modelling & deployment problems using Data Science software Statistica. The course will focus on providing hands-on experience with the different ways in which each of these data driven problems can be solved using Data science. For each topic, step-by-step examples will be presented. Research scholars and postgraduate students of the Institute can enroll for the workshop free-of-cost on first-come-first-serve basis.
There are limited seats for the workshop, hence do the registration now.
Workshop Schedule
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9.30 AM - 10.00 AM
Registration
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10.00 AM - 11.00 AM
Statistica Data Science platform Overview.
Data Connectivity & Integration.
Data Preparation, Graphs, Charts & Visualization.
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12.00 AM - 1.00 PM
Simple & Multiple Regression Analysis Case Study & Example – Identification & Eradication of Poverty. Logistic Regression Case Study & Example – Heart Disease Prediction.
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2.00 PM - 5.00 PM
Time Series Regression using AI. Case Study & Example – Air Travellers Prediction. Heart Disease status Prediction using ML (Support Vetor Machine). Case Study & Example – Heart Disease status Prediction. R, Python, H2O Sparkling water, SPARK Scala.
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5.00 PM - 5.30 PM
Q&A Session
Our Speakers
VENUE
Department of Computer Science and Engineering
Indian Institute of Technology (BHU), Varanasi
221005, Uttar Pradesh, India
Registration Form
Contact
*SUPRIYA CHANDA
Research Scholar
Dept. of Computer Science and Engineering. IIT (BHU)
supriyachanda.rs.cse18@itbhu.ac.in
9488205994
*AKANKSHA MISHRA
Research Scholar
Dept. of Computer Science and Engineering. IIT (BHU)
akanksham.rs.cse17@itbhu.ac.in
9911864548
Co-ordinator
Dr. SUKOMAL PAL
Assistant Professor
Dept. of Computer Science and Engineering. IIT (BHU)
spal.cse@iitbhu.ac.in