Data Science Primer

Data Science Primer Program for Executives

This program has been designed especially for executives and managers to create awareness on Data Science and expose them to various statistical methods, predictive modeling techniques and tools used for the same.



CLASS SCHEDULE

DAY I

SESSION TOPIC:
Statistics (Using R)

SESSION CONTENT:
R Variables

SESSION TOPIC:
Statistics

SESSION CONTENT:
R Data Structures

SESSION TOPIC:
Statistics

SESSION CONTENT:
Univariate / Bivariate statistics

SESSION TOPIC:
Statistics

SESSION CONTENT:
Multivariate statistics

DAY II

SESSION TOPIC:
Exploring Data I

SESSION CONTENT:
Data Description / Data Normalization /

SESSION TOPIC:
Exploring Data II

SESSION CONTENT:
Histograms / Normalized Histograms / 3-D Histograms / Scatter Plots / Box Plots

SESSION TOPIC:
Exploration III

SESSION CONTENT:
Principal Component Analysis

SESSION TOPIC:
Exploration IV

SESSION CONTENT:
Principal Component Analysis

DAY III

SESSION TOPIC:
Introduction to Python

SESSION CONTENT:
Interface / Variables /

SESSION TOPIC:
Introduction to Python

SESSION CONTENT:
Data Structures

SESSION TOPIC:
Introduction to Python

SESSION CONTENT:
Data Structures

SESSION TOPIC:
Estimation & Prediction I

SESSION CONTENT:
Simple Linear Regression Multiple Linear Regression

DAY IV

SESSION TOPIC:
Estimation & Prediction I (R)

SESSION CONTENT:
Simple Linear Regression Multiple Linear Regression

SESSION TOPIC:
Estimation & Prediction I (R)

SESSION CONTENT:
Simple Linear Regression Multiple Linear Regression

SESSION TOPIC:
Estimation & Prediction II

SESSION CONTENT:
Logistic Regression Graphs and Plots

SESSION TOPIC:
Estimation & Prediction II

SESSION CONTENT:
Logistic Regression Graphs and Plots