INTRODUCTION TO
DATA SCIENCE
JOHN P DICKERSON
Lecture #12 – 10/3/2019
CMSC320
Tuesdays & Thursdays
5:00pm – 6:15pm
FINAL TUTORIAL
In lieu of a final exam, you’ll create a mini-tutorial that:
•
Identifies a raw data source
•
Processes and stores that data
•
Performs exploratory data analysis & visualization
•
Derives insight(s) using statistics and ML
•
Communicates those insights as actionable text
Individual or group project – 25% of final grade!
Will be
hosted publicly
online (GitHub Pages) and will
strengthen your portfolio
.
2
FINAL TUTORIAL
Deliverable: URL of your own GitHub Pages site hosting an
.ipynb/.html export of your final tutorial
•
– make a GitHub account, too!
•
The project itself:
•
~1500+ words of Markdown prose
•
~150+ lines of Python
•
Should be viewable as a
static webpage
– that is, if I (or
anyone else) opens the link up, everything should render and I
