Data Analytics for High Level Decision Making

The goal of this program is to equip participants with the essential tools and techniques needed for high-level decision-making. As technologies shift towards data lakes and multimedia data processing, solving real-time business problems requires formal knowledge of advanced problem-solving skills. Hence, the course is designed to expose participants to capture complex different functionality dealing with real-life problem. It provides good blend of Data Analytics, Business Analytics & problem-solving techniques in real time decision making.

After completion of the course, participants will be capable of:

* Understand the basic concept of data analytics

*Understand advance data analytics tools and techniques

*Developing basic models using real-time data to address complex business challenges in real-time decision-making scenarios.

1. Introduction to the Program and Statistics Primer

• Introduction to the Program
• Scales of Measurements, Data Visualization and Descriptive Data Analysis
• Concept of Probability and Random Variables
• Introduction to Common Probability Distributions
• Sampling, Sampling Distribution and Central Limit Theorem
• Hypothesis Testing and some common univariate and bivariate tests

2. Data Preparation and Model Building Basics

• Data Pre-processing
• Exploratory Data Analysis and Dimension Reduction Techniques
• Basics of Model Building (Supervised/Unsupervised, Cross Validation, Training and Testing Datasets, Baseline establishment)
• Simple and Multiple Linear Regression

3. Advanced Data Analytics Techniques

• Classification - Decision Trees
  • Logistics Regression
• Reinforcement Learning

Session Plan :

Day 1

• Probability and Probability Distribution, Sampling and Sampling Distribution, Hypothesis, Data Visualization with Excel/Python

Day 2 

• Descriptive Data Analysis with Excel/Python
• Data Pre-processing

Day 3 Simple and Multiple Linear Regression

Day 4 Clustering            

Day 5   Classification- Logistic Regression

              Classification- Decision Tree

Day 6   Reinforcement Learning 

• Middle and high-level Decision-makers who are responsible of business information/research are encouraged to participate and/or would like to develop business processes/function within their organization.
• For the sake of illustration, organization in the FMCG, consumer durables, consumer financial services, insurance, banking and retailing etc. will find this program very relevant
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1. Registration fees include the following:

For all the participants:

• • Online sessions
  • Online study material
  • Certificate for course completion

Registration Terms & Conditions:

C. IIM Mumbai is not responsible for any other expenses borne by the participants due to rescheduling/cancellation of its MDPs

2. Individual Registration

If you wish to register & make payment, please click here Register

3. Company-sponsored / Bulk Registration:

• • In the case of company-sponsored candidates, please share the nomination list and GST details to program@iimmumbai.ac.in for invoice generation.

    Download the INVOICE DETAILS FORM

  • Note: Discount is applicable for 5 or more participants from same organization against invoice.