Data Analytics For High Level Decision Making

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Data analytics is emerging as a field that is revolutionizing science and industries alike. The aim of this course is to help participants cut through the vast literature on data analytics, focusing on the most important and useful empirical concepts. This course is expected to develop a sound background in quantitative analysis of Supply Chain Management, Logistic Management, Forecasting and Financial Analysis.

The objective of the program is to give insights of the tools & techniques of high-level decision making. Considering the shift of technologies towards data lake, solving business problems on real time basis becomes impossible without formal knowledge of high-level problem solving skills. Hence, this course is designed to expose participants to capture complex different functionality dealing with real-life problem. After completion of the course, participants would be able to: • Understand the basic concept of data analytics • Understand advance data analytics tools and techniques • Develop basic model using real time data

Introduction to Statistics Primer 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 Data Preparation and Model Building Basics • Data Pre-processing • Exploratory Data Analysis and Dimension Reduction Techniques • Basics of Model Building • Simple and Multiple Linear Regression Advanced Data Analytics Techniques • Classification • Decision Trees • Logistics Regression • Clustering

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.

Course Details

Venue Online
Duration 18 Hrs.
Starts On Nov 20, 2023
Faculty Prof. Rakesh Verma

Fees Details

Duration Professional Fee*(Per participant) GST(18%) Total Fees(Per Participant) Programme Code
18 Hrs. 10,500.00 1,890.00 12,390.00 1 24 3 32
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