Certification Program on Business
Analytics, Data Mining and Operations Research 24-25 (Off Line)
Venue:
Indian Statistical Institute Delhi Centre
Results for
Certification Program on Business Analytics, Data Mining and Operations
Research Examination 2019
Results for
Certification Program on Business Analytics, Data Mining and Operations
Research Examination 2020
Results for
Certification Program on Business Analytics, Data Mining and Operations
Research Examination 2021
Results for
Certification Program on Business Analytics, Data Mining and Operations
Research Examination 2022
Results for
Certification Program on Business Analytics, Data Mining and Operations
Research Examination 2023
Results
for Certification Program on Business Analytics, Data Mining and
Operations Research Examination 2024
Business
analytics is a discipline that focuses on understanding business
performance and developing new strategies based on data and statistics.
It uses specialized techniques and tools to gather information, organize data
and interpret it to support business decision making. Business
intelligence professionals make use of programming software like Minitab,
Matlab, SPSS & R and management skills to improve efficiency,
financial performance and implement strategic solutions.
Objective: The program offers
rigorous training that will prepare you to use data and analytics to
identify business opportunities, generate business insights and create
business solutions.
Course fee: Rs. 45,000/- + (GST
18%)=Total Rs 53100/- per participant(Course fee once deposited is
non-refundable/non-transferable)..
Participants Profile: Bachelor's degree with
Mathematics/Statistics/ Physics or Bachelor's degree in Economics with
Statistics as subject or BE/B Tech degree or MBA, or Six Sigma black belt
Venue: Indian Statistical Institute Delhi Centre
(Off Line Mode)
Dates: 1st module: 6 - 9 August 2024
2nd module: 10 - 13 September 2024
3rd module: 22 - 25 October 2024
4th module from 11 - 14 Nov. 2024
(Total 16 days)
Examination 18th November 2024
Note: All payments regarding the programs need to be
done electronically i.e.by NEFT/RTGS/etc. by the participants.
You may pay the registration fee either by scanning the
QR code or Bank transfer
 
Please ensure that you satisfy the eligibility
criteria. If you do not satisfy eligibility criteria/ qualification
criteria, then your application will be rejected and draft will be sent
back to your address.
For further details on the programme contents/ eligibility
criteria visit http://www.isid.ac.in/~sqc/badmor.html
or write to
Prof. S. K. Neogy
Room no. 318 Faculty Block
Indian Statistical Institute,
7, S. J. S. Sansanwal Marg,
New Delhi: 110016, India
Ph. No: 41493966, 41493968,
WhatsApp: 8800170139 (For message only. Don’t make
any calls in WhatsApp)
(e.mail: skn@isid.ac.in, sknisid@gmail.com).
For
Certification Program on Business Analytics, Data Mining and Operations
Research please send your participant details along with bio-data,
payment receipt and Registration form Registration form
(download the form as pdf
file) on or before July
29, 2024 to the Coordinator (Admin) in the mailing address given below.
For further details on visit
http://www.isid.ac.in/~sqc/ or write to
Mr. Praveen Pandey
Coordinator (Admin)
Room no. 320 Faculty Block
SQC & OR unit, Indian Statistical
Institute,
7, S. J. S. Sansanwal Marg,
New Delhi: 110016,
India
Ph. No: 41493968
WhatsApp: 9910669575
(For message only.
Don’t make any calls in WhatsApp)
E.mail: sqc@isid.ac.in
Syllabus
Module 1: Introduction, Basic Concepts and Visual
Analytics using R
-Introduction to Analytics and concepts of
statistical / machine learning / analytics problems, Developing a
Predictive Business Analytics Function
-Introduction to random experiments and random
variable, concepts of parameters, concepts of visual analytics using
random variables and their parameters, different summary measures and
presentations, examples and exercises
-Graphs and Charts for data visualization
-Sampling Concept and Methods
Module 2: Probability distributions, Estimation and
Hypothesis Testing
-Distribution as a model of a business process;
usage of distribution for decision making.
-Probability and Distributions, understanding
normal distribution, brief introduction to some useful distributions,
probability computations
-Estimation and hypothesis Testing
-Estimation of parameters like means, variances,
proportions and model parameters in different circumstances and their
usages in analytics;
-Concepts of standard errors and confidence
intervals
-Theory of estimates; concept of likelihood,
sufficiency and information criteria.
-Formulating hypotheses in real life scenarios
-Test for means, variances, proportions, odds
ratios and relative risks
Module 3: Prediction Modeling through Regression
-Simple and multiple linear regressions.
-Concepts of cross validation, usage of validation
set, k fold cross validation and concepts of bootstrap.
-Logistic regression
-Multivariate data analysis
Module 4a: Tree based Method, Forecasting and
Segmentation
-Classification and Regression Tree including
concepts of bagging, random forests and boosting, fitting and validating
tree based models
-Forecasting by using AR, MA and ARMA models.
Moving average and Exponential smoothing for forecasting, Measure of
forecasting accuracy.
-Cluster analysis, carrying out non-hierarchical
clustering, choosing the right solution for non-hierarchical clustering
Module 4b: Operations Research, Neural Network and
Game Theory
-
Text as Data: Text
Mining and Sentiment Analysis, Market Basket Analysis: Association
Rules and Lift
-Introduction to deep learning including project
and presentation
-Wrap up and examination
After each module assignments will be given.
Participants need to carry out the assignments in team and present the
finding in first day of next module.
Last Modified: May 27, 2024
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