Data Science / Machine Learning through 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 Science through 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 Python, the vastly popular open-source statistical analysis software.
Who should go for the Programme?
The “Data Science through 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 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 Python
  • Develop Python-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
SupervizedModels
Linear Regression
Logistic Regression
Decision Trees
Discriminant Analysis
UnsupervizedModels
Cluster Analysis
Association Rule Mining

Are there any Learning Pre-requisites?

The “Data Science through 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.

Enrollment

Data Science / Machine Learning through Python

MEET Our Consultants & Faculty

Mr. Goutam Das

Ph.D. in Foreign Direct Investment (submitted), IIFT Delhi.
M.Tech. (Computer Engg), IIT Kharagpur.
Alumnus of IIM Calcutta and ISI Delhi.
Ex-Global Analytics Head of TCS.
25+ years of experience across industry verticals.

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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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Dr. Saswati Bhattacharyya

Ph.D. and M. Stat. from ISI Calcutta.
22 + years of exp. in IT, Statistical Analysis and Data Science.
Specialized in Image Processing, Logistic optimization of Vehicle using GPS data tracking.
Expertise in Optimal Media (TV Ad) assignment.

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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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Amrita Saha

M.Sc. Economics, Calcutta Univ.
8+ yrs of research and industrial exp. in Business Analysis, Business Forecasting, Statistical & adv. Econometrics.
Extensive hands-on exp. in Python, R, Rattle, WEKA, Tableau, QlikView, Power BI etc.

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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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Dr. Sunanda Roy

Ph.D. (Materials Science & Engg), Singapore- MIT.
M. Tech. Materials Science & Engg, IIT Kharagpur.
International Research Reviewer of Royal Society of London, Elsevier Amsterdam.
12+ yrs of exp. in Research & Academics.

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