Data Analytics For High Level Decision Making

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.