## Spring 2022 – Advanced Statistics

BUSAD 360 Advanced Statistics Course Page

- Lesson 25: Review for Final Exam Part 2
- Lesson 24: Review for Final Exam
- Lesson 23: Artificial Intelligence
- Lesson 22: Data Import and Export with Panda DataFrames in Python
- Project 4: Python Simulation
- Lesson 21: Enhanced Stock Market Simulation in Python
- Lesson 20: Stock Market Simulation in Python
- Lesson 19: Dice Game Simulation in Python
- Lesson 18: Python Variables, Lists and If Statements
- Lesson 17: Intro to Python
- Lesson 16: Stock Market Simulation
- Project 3: Retirement Portfolio Simulation
- Lesson 15: Simulation of Continuous Random Variables
- Lesson 14: Index Variables and Automated Simulation
- Lesson 13: Intro to Simulation
- Lesson 12: Intro to Random Numbers
- Lesson 11: Applied Regression Modeling (2 of 2)
- Project 2: Multiple Regression Modeling
- Lesson 10: Applied Regression Modeling (1 of 2)
- Lesson 9: Multiple Regression Variable Selection
- Lesson 8: Introduction to Multiple Regression
- Lesson 7: Measuring Forecast Error
- Project 1: Time Series Analysis
- Lesson 6: Curvilinear Regression
- Lesson 5: Linear Regression
- Lesson 4: Visualization of Distributions and Bivariate Relationships
- Lesson 3: Pivot Tables
- Lesson 2: Data Analysis in Spreadsheets
- Lesson 1: Introduction to Spreadsheets
- Introduction to Advanced Statistics