Honours Programme

Statistics

Name of the Program and Guiding Prof.No. of CreditsAbstract
Data analysis using R
Rohit Bhattacharjee
Quant Fund Manager, Annet Fund Management
1i) Import and manage high dimension datasets.
ii) Exploratory DataAnalysis (EDA) and data wrangling.iii)  data visualization techniquesiv)  clean and pre process data in order to get theresults( For TYBA – students)
Course Fee: Rs. 800/-
Duration: 8 weeks
Deadline for application: Not applicable(Completed)
1st May to 4th AugustEnrolled for activity at: Statistics department
Contact: Prof. Piyali Unnikrishnan piyali.unnikrishnan@xaviers.edu
Market Research Programme
Batch 1 – Resource Person
Tushar Paharia
Sr Consumer Insight Manager
Firmenich Aromatics Pvt Ltd
Batch 2 – Resource Person
Jiggar Rambhia
Associate Director
Consumer Insight – Retail & Shopper Nielsen India, Mumbai
2This programme is designed to enable students to carry out a market research programme. They will be given a hand on experience on designing a questionnaire, collecting data, analyzing data and drawing inferences.(For FYBA and FYBSc students)Course Fee: Rs. 800/-
Duration: Four Sundays during the year
Deadline for application:
Will be put up on website
Enrolled for activity at: Statistics department
Contact: Prof. Piyali Unnikrishnan piyali.unnikrishnan@xaviers.edu
Machine Learning in R
Rohit Bhattacharjee
Quant Fund Manager, Annet Fund Management
1The course is divided into 3 parts: Regression Models (ex: linear, lasso, ridge etc)
– Classification Models (ex: logistic regression, decision trees, random forests)
– Clustering Models (dimension reduction and Principal Component Analysis)
(For TYBA – students)
Course Fee: Rs. 500/-
Duration: 8 weeks
Deadline for application: Not applicable (ongoing)
5 August onwards
Enrolled for activity at: Statistics department
Contact: Prof. Piyali Unnikrishnan piyali.unnikrishnan@xaviers.edu
Introduction to Advertisement
Risabh Kapoor
MONDELEZ INDIA FOOD PVT LTD Chocolate Insights Manager – India
1The course will introduce the students to the basics of advertisements and teach them how to create an advertisement from the concept.(TYBA and TYBSc students)Course Fee: Rs. 600/-
Duration: Sunday(8 hours)+Non contact hours
Deadline for application: Enrolled for activity at: Statistics department
Contact: Prof. Piyali Unnikrishnan piyali.unnikrishnan@xaviers.edu
Machine learning
Rahul Mishra
Senior data scientist
Reliance Industries Ltd
1Introduction to Machine Learning, Bias-Variance Trade Off, Supervised and Unsupervised Learning (Classification, Regression and Clustering), Data Selection, Processing and Interpretation Decision Tree and Random
Forest Imputation and Encoding Feature Engineering ,Precision, Recall and Accuracy, Introduction to Reinforcement learning, Introduction to deep neural network (TYBSC Statistics students)
Course Fee: Rs.1000/-
Duration: Every Wednesday
Deadline for application: Not applicable
Enrolled for activity at: Statistics department
Contact: Prof. Piyali Unnikrishnan
piyali.unnikrishnan@xaviers.edu
Quantitative and Logical Preparations for Entrance Exams and Interviews
SHAILESH GOREGAOKA R INDEPENDENT TUTOR VISITING FACULTY AT ST. XAVIER’S COLLEGE. (NOV 2014 –PRESENT) ADJUNCT FACULTY AT MEGHNAD DESAI ACADEMY OF ECONOMICS (MAY 2017 – PRESENT)
1The objective of this course is to develop basic thinking skills in analysing various problems (mostly of a mathematical or logical nature). The main mode of instruction will be self- discovery where the students will be engaged in groups to come up with various strategies for different problems. We will also discuss a few problems typically asked in placement interviews. It will be a fun-filled 2 day course with lots of puzzles, new ways of looking at problems, and learning some tricks on increasing speed for solving problems.The topics includeMixtures and alligations,speed, time and work, HCF/LCM and remainder problems,.Fermi problemsMathematical puzzles (With and without use of traditional algebra and geometry).Tricks for Speed Solving (SYBSc)Course Fee: Not applicable Duration: Two Sundays
Deadline for application: Not applicable
Enrolled for activity at: Statistics department
Contact: Prof. Piyali Unnikrishnan
piyali.unnikrishnan@xaviers.edu

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