Math for Data Science III
In this course you will learn advanced statistical skills that enable you to analyze panel data. You will be introduced to advanced statistical analysis and learn how to apply it using software code. You will learn key statistical principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using complex data structures. Prerequisite: Math for Data Science 2
Course Overview
In this course you will learn advanced statistical skills that enable you to analyze panel data. You will be introduced to advanced statistical analysis and learn how to apply it using software code. You will learn key statistical principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using complex data structures. Prerequisite: Math for Data Science 2
Course Modules
ZWeek 1. Pooled Cross Section Data Analysis DELETE
- - Week 1. Types of Regression Analysis
- - Types of Regression Analysis
- - Lesson 2
Week 2. Panel Data Analysis: Fixed Effects Models
Week 3. Panel Data Analysis: Random Effects Models
Week 4. Generalized Linear Models (GLMs)
Week 5. Generalized Linear Models for Continuous Data
Week 6. Generalized Linear Models for Binary Data
Week 1. Pooled Cross Section Data Analysis
Course Developer
david lopez
Frequently Asked Questions
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