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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

Curriculum Overview

What is Business Analytics?
Business Intelligence versus Business Analytics
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
[Implementation through Excel, R and Python]
Central Tendency & Dispersion
Measures of Shape Parameters
[Implementation through Excel, R and Python]
Sampling & Estimation
Testing of Hypotheses
Analysis of Variance (ANOVA)
[Implementation through Excel, R and Python]
Correlation Analysis
Linear Regression
[Implementation through R and Python]

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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Debjani Bhattacharya

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

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Ankhi Mukhopadhyay

MBA, IBS, Mumbai, B. Tech. (Chemical Engg.), Univ. of Calcutta

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Amrita Saha

M.Sc.(Economics) Calcutta University

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Manodip Das Sarma

M.Tech (Intelligent Automation and Robotics) from Jadavpur University, Kolkata.

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