Christine Shen
Zoey Liu
Michael Sarkis
Blossom Mojekwu
Sara Mehta
Mariana Izon
Data science is using data in a principled way to gain understanding, insight, and knowledge.
We're going to learn to do this in a tidy
way -- more on that later!
This is a course on introduction to data science, with an emphasis on statistical thinking.
Q - What data science background does this course assume? A - None.
Q - Is this an intro stat course? A - While statistics ≠ data science, they are very closely related and have tremendous of overlap. Hence, this course is a great way to get started with statistics. However this course is not your typical high school statistics course.
Q - Will we be doing computing? A - Yes. We will use the computing language R.
Learn to explore, visualize, and analyze data in a reproducible and shareable manner
Gain experience in data wrangling, exploratory data analysis, predictive modeling, and data visualization
Work on problems and case studies inspired by and based on real-world questions and data
Learn to effectively communicate results through written assignments and final project presentation
Fundamentals of R
Data visualization and wrangling with ggplot2
and dplyr
from the tidyverse
Web scraping
Web based applications with RShiny
Spatial data visualization
Data types and functions
Version control with GitHub
Reproducible reports with R Markdown
Regression and classification
Statistical inference
26×25×24×...×2×1=4×1026 possible combinations
Check 100M per second
120,000,000,000 years of computational time
Course Website: sta199-f21-001.netlify.app
Sakai sakai.duke.edu
Slack: https://sta199-001-f21.slack.com/
GitHub: https://github.com/sta199-f21
Attend Office hours to meet with a member of the teaching team.
Attend Office hours to meet with a member of the teaching team.
Use slack for general questions about course content and/or assignments, since other students may benefit from the response.
The Academic Resource Center (ARC) offers free services to all students during their undergraduate careers at Duke.
Services include
Contact the ARC at ARC@duke.edu or call 919-684-5917 to schedule an appointment.
Duke Counseling & Psychological Services (CAPS) helps Duke Students enhance strengths and develop abilities to successfully live, grow and learn in their personal and academic lives.
Services include
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Respect, honor, and celebrate our diverse community
Uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Respect, honor, and celebrate our diverse community
Learning environment that is welcoming, inclusive, and accessible to everyone
You are expected to attend and participate lectures and labs
Please wear a mask to help protect your peers and others around you 😷
Please do not come to class if you have symptoms related to COVID-19, have had a known exposure to COVID-19, or have tested positive for COVID-19.
Go to https://github.com/, and create an account (unless you already have one).
After you create your account, go to https://forms.gle/t4Z6jadPmyZhHDvq6 and enter your Duke email address (NETID@duke.edu) and GitHub username.
Some tips from Happy Git with R.
NA
).05:00
We'll start talking about the computing toolkit
Watch videos for Prepare: Week 01
Reserve an STA198-199 RStudio container.
Submit your GitHub username
Bring laptop/tablet/Chromebook to class
Join slack
Keyboard shortcuts
↑, ←, Pg Up, k | Go to previous slide |
↓, →, Pg Dn, Space, j | Go to next slide |
Home | Go to first slide |
End | Go to last slide |
Number + Return | Go to specific slide |
b / m / f | Toggle blackout / mirrored / fullscreen mode |
c | Clone slideshow |
p | Toggle presenter mode |
t | Restart the presentation timer |
?, h | Toggle this help |
Esc | Back to slideshow |