Lectures - Core Principles of Data Science / Fall 2023

Below you’ll find a list of links to lecture notes and code, along with the lab session materials and additional reference materials.

Introduction to Course, R and RMarkdown
[lecture slides]
Lecture Materials:
Recommended Readings:
- Introduction to R for Data Science (chapters 1,4,5)
- Happy Git with R (chapter 12)
Introduction to Git, GitHub, and homework submission
HW1 Assigned

R files:
- 00-intro-to-rmarkdown
GitHub and RStudio
- 01-setting-up-github PDF
- 01-git-rstudio PDF
Basic R, data types and vectors
R files: If you have the course repository set up, they should already have them on your laptop.
Sorting, vector arithmetic, and indexing
R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory.
Basic data wrangling
R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory.
- instructor_lecture-recap-notes-for-lec6
- 07-basic-data-wrangling
Basic plots and importing data
R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory.
- 08-basic-plots
- 09-importing-data
Programming basics
R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory.
Introduction to ggplot2
HW2 Assigned

R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory.
- instructor-recap-notes-lec9
- 01-intro-to-ggplot2
Gapminder
R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory.
Gapminder - continued
R files: If you have the course repository set up, they should already have them on your laptop. Go to the directory of our course repository on your local folder and click on the .Rproj file to open the directory. Click on “pull” under the Git tab on your r studio.
- instructor-recap-notes-lec11
- 02-gapminder
Gapminder and Data Viz Principles
R files:
- instructor-recap-notes-lec12
- 02-gapminder
Data viz principles - continued and Maps
R files:
Maps and Advanced data wrangling
R files:
Advanced data wrangling - continued
HW3 to be released on Friday

R files:
Date and times, advanced wrangling practice, regression motivation
R files:
Regression
R files:
Regression
R files:
Regression - continued and ML intro
R files:
- instructor-recap-notes-lec20
- 04-confounding
maching learning module
- 01-intro_to_ml
Introduction to machine learning
R files:
- instructor-recap-notes-lec21 maching learning module
- 01-intro_to_ml
Introduction to machine learning
R files:
- instructor-recap-notes-lec22 maching learning module
- 01-intro_to_ml
Machine learning - continued (intro)
R files:
- instructor-recap-notes-lec23
- 01-intro_to_ml
Machine learning - continued (lda, qda)
R files:
Machine learning - continued (roc, auc)
R files:
- instructor-recap-notes-lec25
- 02-qda_lda_roc
Machine learning - continued (decision trees)
R files:
- instructor-recap-notes-lec27
- 03-decision-trees
Machine learning - continued (random forest)
R files:
Machine learning - continued (regularization)
R files:
- instructor-recap-notes-lec29
- 04-regularization
Machine learning - continued (regularization)
R files:
- instructor-recap-notes-lec30
- 04-regularization
Machine learning - continued (PCA, cross validation)
Final Project Due R files:
Machine learning - cross validataion and Next steps
Final Project Due R files:
- instructor-recap-notes-lec32
- 05-cross-validation
Next steps: -07-next-steps