Statistical Analysis (MAT202)
Discover methods to collect, analyze, interpret, and present data through interactive projects. Build applications that demonstrate statistical concepts and techniques.
Learning Objectives
- Create interactive data visualization tools for exploring and presenting statistical information
- Develop applications that simulate probability concepts and random experiments
- Build frameworks for statistical hypothesis testing and experimental design
- Implement predictive modeling tools using statistical techniques
- Apply statistical methods to analyze real-world datasets
Statistics Projects
Complete these projects to build a portfolio demonstrating your understanding of statistical concepts. Each project becomes progressively more challenging and builds upon skills from previous projects.
Data Visualization Dashboard
Create an application for exploring data visualizations with interactive charts and exploratory data analysis tools.
Probability Simulator
Build a tool for demonstrating probability concepts through random experiment simulations and distribution visualizations.
Hypothesis Testing Framework
Develop an application for statistical hypothesis testing with p-value calculations and interactive experiment design tools.
Predictive Model Builder
Build a tool for creating and evaluating statistical models with regression analysis features and prediction validation tools.
Your Progress
Course Instructor
Recent Achievements
Probability Wizard
Created a comprehensive probability simulator
Visualization Expert
Built your first data visualization dashboard
Career Pathways
These career opportunities become available as you complete projects and develop your statistical analysis skills.
Data Visualization Developer
Creating interactive visualizations of statistical data for interpretation and presentation.
Required Projects:
Statistical Analysis Engineer
Developing tools and methodologies for statistical analysis of complex datasets.
Required Projects:
Data Science Engineer
Applying sophisticated statistical methods to extract insights and build predictive models.