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Bachelor of Science in Statistics
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Course Outline
10 sections
1. Capstone Project
80 mins
8 topics
Choosing a Capstone Project Topic
Developing a Capstone Project Proposal
Conducting Literature Review for Capstone Project
Data Collection and Analysis Methods
Writing the Capstone Project Report
2. Time Series Analysis
90 mins
9 topics
Introduction to Time Series Analysis
Time Series Components
Time Series Decomposition
Time Series Visualization
Time Series Forecasting
3. Probability Theory
90 mins
9 topics
Introduction to Probability Theory
Probability Distributions
Bayes' Theorem
Conditional Probability
Combinatorics and Probability
4. Introduction to Statistics
100 mins
10 topics
Overview of Statistics
Descriptive Statistics
Data Visualization
Probability Theory
Sampling Methods
5. Statistical Inference
100 mins
10 topics
Introduction to Statistical Inference
Sampling Methods
Confidence Intervals
Hypothesis Testing
Types of Errors in Hypothesis Testing
6. Regression Analysis
100 mins
10 topics
Introduction to Regression Analysis
Simple Linear Regression
Multiple Linear Regression
Assumptions of Regression Analysis
Model Evaluation and Selection
7. Experimental Design
100 mins
10 topics
Introduction to Experimental Design
Types of Experimental Designs
Variables in Experimental Design
Randomization and Control in Experiments
Experimental Design Ethics
8. Statistical Computing
50 mins
5 topics
Introduction to Statistical Computing
Programming in R for Statistical Analysis
Data Visualization in Statistical Computing
Statistical Modeling and Simulation
Advanced Topics in Statistical Computing
9. Multivariate Analysis
100 mins
10 topics
Introduction to Multivariate Analysis
Multivariate Data Types
Multivariate Data Visualization
Multivariate Normal Distribution
Principal Component Analysis (PCA)
10. Statistical Modeling
90 mins
9 topics
Introduction to Statistical Modeling
Probability Distributions
Simple Linear Regression
Multiple Regression Analysis
Model Selection and Validation