DATA ANALYSIS FOR BUSINESS
Instructional goals
Provide students with practical skills to work with and summarize datasets, aiming to provide business insights.
Intended learning outcomes
The students will have a great ability to use statistics to provide business insights. Also, the continuous assessment program will enhance the student's skills in Python.
Course Contents
Stats brief recap;
Inference brief recap;
Python brief recap;
Regression models recap;
Linear and Non Linear. regression models;
Cluster Analysis;
Principal Component Analysis;
Basic of Machine Learning.
Reference Books
Course material.
Teaching Methods
Theory + Practical classes.
Assessment Method
Group continuous assessments (fortnightly frequency) + In class Group Continuous Assessment + Final Theory Exam (written in class)
Thesis assignment criteria
TBD
Week 1
Statistics and Inference Recap;
Week 2
Python recap; first assessment.
Week 3
Linear Regression Models
Week 4
Linear Regression Models
Week 5
Generalized Linear Regression Model.
Week 6
Generalized Linear Regression Model.
Assessment
Week 7
Panel Regression
Week 8
Panel Regression
Assessment
Week 9
Intro to Time Series
Week 10
Intro to Time Series
Week 11
Intro to Machine Learning
Week 12
Course Recap, Assessment