CDS 101 - 001: Introduction to Computational and Data Sciences

Class Notes

Module 8 – Modeling

April 15, 2019
Readings
- Reading 8 (Complete by: Apr-22 @ 11:59pm)
Homeworks
- Mini-homework 8 – Under (blood) pressure (Due: Apr-24 @ 11:59pm)
- Homework 4 – NYC condo prices (Due: May-3 @ 11:59pm)
Class Notes

Module 7 – Inference and simulation

April 01, 2019
Readings
- Reading 7 (Complete by: Apr-8 @ 11:59pm)
Homeworks
- Mini-homework 7 – Who busts the Mythbusters? (Due: Apr-10 @ 11:59pm)
- Homework 3 – National Survey of Family Growth (Due: Apr-19 @ 11:59pm)
Videos

(Watch by: Apr-8)

Inference and simulation - 01 - Gender discrimination case study

Inference and simulation - 02 - A hypothesis test as a court trial

Inference and simulation - 03 - A manual simulation of the gender discrimination experiment

Inference and simulation - 04 - Simulating the gender discrimination experiment in R

Slides
Class Notes

Module 6 – Data distributions

March 25, 2019
Readings
- Reading 6 (Complete by: Apr-1 @ 11:59pm)
Module exercises
- Module 6 exercises (Due: Apr-1 @ 11:59pm)
Homeworks
- Mini-homework 6 – Analyzing data distributions (Due: Apr-3 @ 11:59pm)
Videos

(Watch by: Apr-1)

Data distributions - 01 - Quantifying data distributions

Data distributions - 02 - Quantifying data distributions in R

Data distributions - 03 - Probability mass functions

Data distributions - 04 - Cumulative distribution functions

Slides
Class Notes

Module 5 – Data reshaping

February 28, 2019
Readings
- Reading 5 (Complete by: Mar-25 @ 11:59pm)
Module exercises
- Module 5 exercises (Due: Mar-25 @ 11:59pm)
Homeworks
- Mini-homework 5 – Tidy Gradebook (Due: Mar-27 @ 11:59pm)
Slides
Class Notes

Module 4 – Data transformation

February 14, 2019
Readings
- Reading 4 (Complete by: Feb-20 @ 1:30pm)
Module exercises
- Module 4 exercises (Due: Feb-20 @ 11:59pm)
Homeworks
- Mini-homework 4 – Flights of New York (Due: Feb-22 @ 11:59pm)
- Homework 2 – Titanic (Due: Mar-05 @ 11:59pm)
Videos

(Watch by: Feb-20)

Data transformation - 01 - What is data wrangling?

Data transformation - 02 - The presidential dataset

Data transformation - 03 - The select function

Data transformation - 04 - The pipe operator

Data transformation - 05 - The arrange function

Data transformation - 06 - The slice function

Data transformation - 07 - Boolean logic

Data transformation - 08 - The filter function

Data transformation - 09 - The mutate function

Data transformation - 10 - The group_by and summarize functions

Data transformation - 11 - Other helpful dplyr verbs

Slides
Class Notes

Module 3 – Data visualization

February 04, 2019
Readings
- Reading 3 (Complete by: Feb-13)
Homeworks
- Mini-homework 3 – Visualization by example (Due: Feb-12 @ 11:59pm)
- Homework 1 – Rail trail (coming soon) (Due: Feb-19 @ 11:59pm)
Videos

(Watch by: Feb-13)

01 - Data visualization as communication

02 - Examining numerical data

03 - Describing visualizations

04 - Data visualization with ggplot2

Slides
Class Notes

Module 2 – Course toolbox

January 28, 2019
Readings
- Reading 2 (Complete by: Feb-04)
Homeworks
- Mini-homework 2a – R Markdown practice (Due: Feb-05 @ 11:59pm)
- Mini-homework 2b – Visualization practice (Due: Feb-05 @ 11:59pm)
Videos

(Watch by: Feb-04)

01 - Reproducible toolbox - Reproducibility in science

02 - Reproducible toolbox - Reproducible research toolkit

Slides
- 01 - Reproducibility in science
- 02 - Reproducible research toolkit
Class Notes

Module 1 – What are the computational and data sciences?

January 22, 2019
Readings
- Reading 1 (Complete by: Jan-28)
Module exercises
- Module 1 exercises (Due: Jan-28 @ 11:59pm)
Homeworks
- Mini-homework 1 (Class activity: Jan-24)
Videos

(Watch by: Jan-28)

01 - What are the computational and data sciences - Science

02 - What are the computational and data sciences - Data Overview

03 - What are the computational and data sciences - Data Sampling

04 - What are the computational and data sciences - Computation

Slides