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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

Goutam Das

Ph.D. Scholar (Foreign Direct Investment), IIFT Delhi MTech (Computer Engg.), IIT Kharagpur Alumnus of IIM Calcutta & ISI Delhi 25+ yrs of industry exp. across industry verticals

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Dr Nidhan "Neal" Choudhuri

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

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Debjani Bhattacharya

M. Phil, Jadavpur University, B.E. (Electrical Engg.), MN-NIT Allahabad

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Dr. Mousumi Duttaray

Ph.D. (International Economics), Indiana University, USA 18+ years of teaching, research and industry experience in USA with global majors like Barclaycard, AMEX etc.

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Amrita Saha

M.Sc.(Economics) Calcutta University

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Somnath Sinha

B.Tech. (Electrical), IIT Bombay PGDM, IIM Calcutta 30+ yrs. of exp. in global delivery with 2 decades of service with IBM as Service Leader (IT) & CIO Ex-partner of Accenture, KPMG, E&Y, PWC

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Prof. B. B. Chakrabarti

Ph.D. in Economics Gold Medalist -PGDM, IIM Calcutta Gold Medalist - BE, Jadavpur Univ. Fellow Member of the Institute of Cost Accountants of India (ICAI) 40+ yrs of experience in industry/ academic

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Pravin Bhosale

B. E. (Mech. Engg), NIIT PG Certification on Business Analytics, Machine Learning Cert from Stanford Univ. LOMA ALMI Certified Professional 15+ years of experience in consulting on Financial Analytics, Credit Risk Analytics, Operations Research, Business Analytics,

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