Data Management & Data Mining through R / Python
Pick up cutting-edge skills to solve business problems using data mining algorithms

90Hours programme

Contact hours: 60 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
For Enrollment
Programme Objectives
The “Data Management & Data Mining through R / Python” programme is a specialized programme that intends to empower professionals across industries and business functions with cutting-edge skills in data analytics, particularly in Data Science.

The programme also offers a skill-building platform for all professionals interested in devising analytics-driven solutions to business challenges using R, the most popular open-source statistical analysis software.
Who should go for the Programme?
The “Data Management & Data Mining through R / Python” programme has been designed & developed primarily for professionals keen to work in the emerging & rapidly growing analytics industry.

The programme is of significant value to professionals across industries (banking, retail, technology, media, telecommunications, airlines, etc) as well as across business functions (marketing, finance, human resources, operations, etc), who wish to gain expertize in the extremely powerful & useful area of data science.

Professionals who wish to acquire proficiency in R / Python, the popular open-source statistical analysis software, would also benefit from the programme.

Key Takeaways

  • Envisage & articulate the principal phases of a Data Science centric solution to business challenges
  • Develop awareness of and competency in the major algorithms for data science
  • Acquire proficiency in applying a wide variety of statistical & mathematical functions in R
  • Develop R-based analytics-driven solutions to business problems
  • Design & implement end-to-end Data Science solutions in their businesses
  • Evaluate accuracy & effectiveness of the Data Science models developed by and/or deployed in their organizations

Learning Mode

Curriculum Overview

Data Consolidation
Variable Treatment
Treatment of Missing Values
Treatment of Outliers
Managing Special Values
Variable Binning
Information Value
Principal Components Analysis
Variable Classing
Variance Inflation Factor
Linear Regression
Logistic Regression
Decision Trees
Discriminant Analysis
Cluster Analysis
Association Rule Mining

Are there any Learning Pre-requisites?

The “Data Management & Data Mining through R / Python” programme is essentially of a relatively specialized nature, and hence there are certain learning pre-requisites for the programme.

In order to enhance the efficiency & effectiveness of participants’ learning, it is desirable that participants possess some basic knowledge of Statistics. In addition, prior awareness of and/or exposure to probability theory, linear algebra and calculus would facilitate participants’ learning efficiency.

Prior knowledge of computer programming is not necessary, though this will provide an added advantage.

Participants with no prior exposure to the learning pre-requisites (Statistics, probability theory, probability distributions, etc), as well as participants who wish to refresh their knowledge of these areas, can rapidly bring themselves up to speed through our specially-designed preparatory programme – the “Essentials of Business Analytics” programme.


Data Management & Data Mining through R / Python

MEET Our Consultants & Faculty

Dr. Goutam Das

Ph.D. (Economics) IIFT Delhi, M. Tech (Computer Engg) IIT Kharagpur
B.E. (Electronics & Comm) V-NIT Nagpur
30+ Years of experience in IT and Analytics [Business Analytics, Big Data Analytics, AI Machine Learning.
Ex-Cheif Data Scientist at Power Foundation of India...

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Dr. Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University.
B. Stats. & M. Stats., Indian Statistical Institute, Calcutta.
Ex-Chief Scientist & Founder, PlanetRisk Inc, Bethesda, US.
20+ years of industry exp. with Morgan Stanley, Barclays Capital etc.

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Mr. Aditya Biswas

B. Tech. (Mechanical) & M. Tech (Industrial Engg. & OR) IIT, Kharagpur.
Ex-Principal Consultant in TCS, Head of IT in Allahabad Bank.
Specialized in Process Optimization, R & D and Management Consulting.
30+ yrs of industry exp.

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Gautam Mukherjee

B.Tech (Electronics & Comm) IIT Kharagpur, M.Tech (Electrical Engg) IIT Madras.
30+ Years of experience in R&D in IT, Telecom. Ex Scientist at DRDO

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Somnath Sinha

B.Tech. (Electrical Engg), IIT Bombay.
PGDM, IIM Calcutta.
20+ yrs with IBM as IT Services Leader, CIO, HR Director &s Director, Integrated Operations.
Partnered with Accenture, IBM, PwC, KPMG, E&Y, etc.
30+ years of industry exp.

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Prof. B. B. Chakrabarti

Ph.D. in Economics, Gold Medalist PGDM, IIM Calcutta.
Gold Medalist - BE, Jadavpur Univ.
20+ yrs as a Renowned Prof of Finance at IIM Calcutta.
24+ years of Industry experience with United Nations, Deustche Bank etc.

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