CGPA: 3.58 out of 4

• Algebra, Linear Algebra and Geometry

• Advanced Calculus & Differential Equation

• Numerical Analysis and Simulation

• Computer Programming

• Principles of Economics & Economic Statistics

• Social & Mathematical Demography

• Sampling Distribution

• Sampling Technique-I & II

• Regression Analysis-I & II

• Statistical Inference-I, II & III

• Analysis of Variance

• Multivariate Analysis-I & II

• Time Series Analysis-I & II

• Non-parametric Test

• Experimental Design

• Stochastic Process-I, II

• Statistical Data Mining

• Bio-Statistics

• Robust Statistics

• Meta Analysis

• Econometrics

• Actuarial Statistics

• Operations Research

• Advance Probability & Measure Theory

CGPA: 5 out of 5

• Statistical Analysis with R for Public Health (4 course specialization)

1. Introduction to Statistics and Data Analysis in Public Health

2. Linear Regression in R for Public Health

3. Logistic Regression in R for Public Health

4. Survival Analysis in R for Public Health

• Business Statistics and Analysis Specialization (5 Course Specialization)

1. Introduction to Data Analysis Using Excel

2. Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

3. Business Applications of Hypothesis Testing and Confidence Interval Estimation

4. Linear Regression for Business Statistics

5. Business Statistics and Analysis Capstone

• Leading Teams

• How to Write and Publish a Scientific Paper

• Data Visualization with Tableau

1. Fundamentals of Visualization with Tableau

2. Essential Design Principles for Tableau

3. Visual Analytics with Tableau

• Python for Everybody (5 Course Specialization)

1. Programming for Everybody (Getting Started with Python)

2. Python Data Structure

3. Using Python to Access Web Data

4. Using Database with Python

5. Capstone: Retrieving, Processing, and Visualizing Data with Python