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Fundamentals of Data Analytics
Structured learning environment for participants interested in carving out a career for themselves in the emergent field of business & data analytics.

72 Hours programme

Contact hours: 48 hours
  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
For Enrollment
Programme Objectives
The “Essentials of Business Analytics” programme offers a structured learning environment to participants interested in carving out a career for themselves in the emergent field of business & data analytics. The programme also serves to plug in the learning pre-requisites for advanced/ specialized insAnalytics training programmes, such as (i) Data Mining, (ii) Business Forecasting, and (iii) Artificial Intelligence & Machine Learning.
Who should go for the Programme?
The “Essentials of Business Analytics” programme offers substantial value to all participants who wish to enter the rapidly-growing analytics industry.

Key Takeaways

  • Articulate the fundamental concepts of Mathematics/ Statistics that form the core building blocks of most Analytics learning programmes
  • Appreciate the role played by Mathematics/ Statistics in the design, structure and operations of most frameworks & algorithms applied in Analytics
  • Fulfil the learning pre-requisites for advanced/ specialized insAnalytics training programmes
  • Effectively leverage their learnings in all insAnalytics training programmes
  • Conveniently reuse their learnings across Analytics training programmes across the globe

Learning Mode

Are there any Learning Pre-requisites?

Participants must have studied, at the 10+2 level (or later), either of Mathematics, Statistics, Engineering Mathematics, Business Mathematics, or Mathematical Economics.

Enrollment

Fundamentals of Data Analytics

MEET Our Consultants & Faculty

Goutam Das

M. Tech. (Computer Engineering), IIT Kharagpur

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Dr Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University

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Dr Chiranjit Acharya

B.E., M.E., & Ph.D. (Computer Science), Jadavpur University

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Sangeet Pal

PGDM (MBA), IIM Ahmedabad

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Pravin Bhosale

B.E. (Mechanical Engineering), Shivaji University, Maharashtra

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Anirban Bhaduri

B.E. (Computer Science), IIEST Calcutta (e.k.a. Bengal Engineering & Science University)

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Shyam Karmakar

Chartered Statistician at The Royal Statistical Society, London

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Shamik Choudhury

M. Tech. (Computer Science), Indian Statistical Institute, Calcutta

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