PSTAT 5A: Understanding Data
Learn the fundamentals of data science and statistical thinking
Summer Session A 2025 • Taught by Narjes Mathlouthi
6
Weeks
20+
Topics
100+
Resources
Course Overview
Transform raw data into meaningful insights through hands-on learning and real-world applications
Statistical Methods
Apply descriptive and inferential statistical methods to real-world data
Probability Models
Work with probability models and random variables in practical contexts
Statistical Inference
Construct confidence intervals and perform hypothesis tests
Data Modeling
Fit and interpret regression and ANOVA models for prediction
Python Programming
Use Python and Jupyter notebooks for comprehensive data analysis
What Makes This Course Special
Modern pedagogy meets practical application in statistical education
Interactive Learning
Engage with statistical concepts through interactive visualizations, simulations, and hands-on exercises that make abstract concepts concrete.
Real-World Applications
Apply statistical methods to authentic datasets from healthcare, business, environmental science, and social research.
Modern Tools
Learn industry-standard Python libraries including pandas, NumPy, matplotlib, and scipy for professional data analysis.
Personalized Support
Small class sizes, regular office hours, and dedicated teaching assistants ensure you get the help you need to succeed.
Important Notice
This schedule and all deadlines are subject to change. Check this site regularly for updates and announcements. Join our course communication channels for real-time updates.