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About Event
Business Analytics with R - 29-30 Sept 2018

Location : CSI Mumbai Chapter
From Date : 29-9-2018 To Date : 30-9-2018
Event Time 9:30:AM    



Computer Society of India, Mumbai Chapter


Two days hands on workshop

Business Analytics with R

Date: 29-30 Sept 2018, 9:30 am to 5:30 pm, Mumbai


In recent times, there has been a sudden rise in demand of business analytics. The prime reason behind this surge is the data driven and techno focused approaches that majority of organizations have willingly embraced. The Business Analytics Program is designed to impart an in-depth training in the concepts and techniques of data analytics. The module is designed to help participants learn advanced analytics techniques and algorithms which can be applied using R. The training program will be entirely based on used cases which will give a hands-on learning experiment.

Course Contents

  1. Basics of R
    1. R Objects
    2. Working with different objects
  2. Data Import
  3. Exploratory analysis in R
  4. Data Cleaning with R
  5. Data Visualization
    1. Introduction
    2. Types of plots
    3. GGPlot2 package
  6. Functions
    1. Introduction
    2. Objectives
    3. Creating functions
  7. Introduction to Analytics
    1. Analytics Industry Overview
    2. Application of Analytics & Challenges to Analytics
  8. Data Understanding
    1. Data Types
    2. Summarizing Techniques
    3. Five Number Summary
    4. Histograms, Ogives, Box Plots etc.
    5. Frequency Tables and Distribution
    6. Cumulative Distributions
  9. Measure of Central Tendency & Dispersion
    1. Understanding Range
    2. Inter Quartile Range
    3. Variance & Standard Deviation
  1. Probability and Probability Distribution
    1. Introduction to Probability
    2. Probability Distribution
    3. Random Variables:  Discrete & Continuous
    4. Discrete Distributions

                                                              i.       Binomial Distribution

                                                            ii.       Negative Binomial

                                                          iii.       Poisson Distribution

    1. Continuous Distribution

                                          i.     Normal Distribution

  1. Sampling and Sampling Distribution
    1. Introduction to Sampling
    2. Random & Non Random Sampling
    3. Sampling Distribution & Central Limit Theorem
  2. Statistical Inference
    1. Estimation
    2. Hypotheses Testing
  3. Hypotheses Testing
    1. Introduction
    2. Testing Procedure
    3. One Sample Test & Two Sample Tests
    4. ANOVA
    5. CHISQ Test
    6. Non Parametric Tests
  4. Regression & Correlation
    1. Introduction
    2. Correlation Analysis
    3. Estimation in Regression
    4. Hypotheses Testing for estimates
    5. Multiple Regression analysis
    6. Multicollinearity
    7. Fitting the model
    8. Regression Assumptions
    9. Transformation Of Variables
  5. Logistic Regression
    1. Understanding Logistics Regression
    2. Building Models
    3. Model Fitting & Evaluation of goodness of fit
  6. Cluster Analysis
    1. Introduction to Cluster Analysis
    2. Clustering Algorithm
    3. Hierarchical Procedure: Agglomerative Clustering
    4. Non Hierarchical Procedure: K-means
  7. Factor  Analysis
    1. Definition and examples
    2. Factor Analysis
    3. Evaluation


Packed with advanced analytics techniques and used cases, this course provides an in-depth knowledge of business analytics using R. After the program, you will be:

  • Have thorough knowledge on R
  • Implement business analytics techniques on real life business problems
  • Build predictive models like Regression and Logistic Regression
  • Will be able to apply segmentation algorithms


Who Should Attend

There is no pre-requisite for the programs but knowledge of R could be beneficial.


We would recommend this path strongly for professionals in the following roles:

  • IT professionals
  • Banking and Finance professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Beginners in in data analytics domain
  • Students in UG/ PG Analytics Programs
  • Professors

Faculty Profile

Mr. Amitendra Kumar



Amitendra holds an MBA degree from ISCS, Pune. He has 10 years of rich corporate experience in training delivery and analytics product development. He has worked with HDFC bank, Redwood Associates and Analytics Training Institute. He is extremely passionate about analytics and statistical concepts. He has experience of more than 3000 Hrs in training corporate organisations and individuals on different analytical tools such as SAS, Hadoop, R etc. He has also delivered training on Analytics concepts such as forecasting methodologies and segmentation techniques.


He has significant experience in developing cutting edge analytics solutions using statistical/ quantitative tools and techniques. The major clientele includes Standard Chartered Bank, MindTree, Genpact, HP, Creamline Dairy Pvt Ltd (Jersey), Jasper Technologies, ACT TV, Beam Tele, Orient Cements, Yash Technologies, GDF SUEZ, TATA Beverages, Doodla Dairy, Meenakshi Energies Pvt Ltd, NIT Warangal, Amex



Major clients include:


HDFC Bank, HP, Standard Chartered Bank, ACT TV, Beam, IBM, Genpact, Holy Merry Business School, Creamline Dairy Products Pvt Ltd, Dialuz Online Ad Services Private Limited, Orient Cements, HP, Mind Tree, GDF Suez, WaterHealth, Yash Technologies, Tata Beverages, Doodla Dairy, Cognizant


As part of Redwood Associates, He has conducted workshops at Redwood’s training lab for senior level management and personnel from different organisations like Genpact, Wipro, HP etc.



MBA (IT & Marketing): Has completed MBA in IT and Marketing from Indira School Of Career Studies, Pune. Has dual specialization in IT and Marketing.

BSC (Mathematics): Has done graduation from St Andrews College, Gorakhpur with 100% marks in Mathematics.



Statistical Modeling


Machine Learning


R Programming



System Thinking

Problem Solving

Analytical Skills

Contact for Registration

Registration Fees /Terms and Conditions

Harsh Mane @

CSI Mumbai Chapter

E-217, 2nd Floor, Floral Deck Plaza, MIDC, Near Sunrise Tower, Andheri East, Mumbai – 400093

Tel:022 28235476 / 28235548 / 28235546

Mobile  9819089527,

Email: /



-          CSI Member Rs. 10620/-Per Participant  including GST

-          Non CSI Member Rs. 12980/- Per Participant including GST

-          Group discount is available for minimum 5 number of registration.

-          The cheque / DD in favour of "CSI Mumbai Chapter" Payable at Mumbai.

-          The mentioned fees are inclusive of all taxes and charges.

-          Registration fees covers courseware, lunch, Tea/Coffee and CSI Certificate.

-          Non CSI Member can avail discount in fees by becoming member of the society for details visit

-          Payment is to be made in favour of “CSI Mumbai Chapter”, A/c No. 10606576641 payable at State Bank of India, MIDC, Andheri East, Branch, Mumbai-400 093, RTGS/NEFT Code: SBIN0007074, (All Major VISA / Master  Credit / Debit   cards will be accepted.

Participation only through advance registration, (Batch size 20 participants only)

Note - Out station participants need to confirm at least 5 days prior to the commencement of the training


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Normal Event Charge : 12980 Rs/-
Event Charge For Early Bird : 12980 Rs/-
Event Charge for Student Member : 10620 Rs/-
Event Charge for CSI Member : 10620 Rs/-
Event Early Bird Days Date : 28-9-2018
Open For : All
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