Data Science for Managers

Welcome to Data Science for Managers!

R Bootcamp

R Basics
Data Frames
Welcome to the Course!

Exploratory Data Analysis

1. Exploring Data
2. Wrangling & Visualization with the tidyverse

Inference

3. Statistical Inference
4. Causal Inference
5. Linear Regression

Prediction & Machine Learning

6. Introduction to Machine Learning
7. Logistic Regression
8. (§) k-Nearest Neighbors (kNN)
- 8.4. The Bias-Variance Trade-off
9. Tree Models
10. Model Evaluation
11. (§) Neural Networks
12. (§) Unsupervised Learning
13. (§) Natural Language Processing

Appendix

Essential R Commands
Coding Platforms
Web Applications
Recommended Materials

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Exercise: Data Frame Basics¶

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Data Frame Basics

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Fixing Variable Types

By Professor Iavor Bojinov, Senior Lecturer Michael Parzen, and Research Associate Paul J. Hamilton
© Copyright 2021.