This post outlines the Practicum Update part of Exam 1. See the in-person Exam 1 or Practicum 1 posts for details on the other parts Your group will have the option to update your Practicum after seeing the results of your Practicum grade. If you choose to submit an update, your grade for the Practicum will be […]
Author: Dr Kristin Stephens-Martinez, Ph.D.
Module 05: Probability
Prepare (due Mon 9/30) Content below Canvas quizzes Class engagement – See on the class forum Homework (due Sun 10/6, late due Thurs 10/10) [Link] Worked Examples [Link] Content (Slides in the Box folder) 5.A – Foundations of Probability (52 min.) Outcomes, Events, Probabilities (15 min.) Joint and Conditional Probability (11 min.) Marginalization and Bayes’ Theorem (15 min.) Random […]
Module 03: Visualization
Prepare (due Mon 9/16) Content below Sakai quizzes Class engagement – See on the class forum Homework (due Sun 9/22) [Link] Worked Examples [Link] Content 03.A – Data Visualization and Design Why Visualize? (11 min.) Basic Plot Types (17 min.) Dos and Don’ts (10 min.) 03.B – Visualization in Python Intro to Python Visualization Landscape (7 min.) Seaborn Introduction (17 […]
Module 02: Numpy & Pandas
Prepare (due Mon 9/9) Content below Canvas quiz Class engagement – See on the class forum Homework (due Sun 9/15) [Link] Worked Example [Link] Content (Slides in the Box folder) 2.A – Numpy (1 hour) Why Numpy (8 min.) Numpy Array Basics (15 min.) Numpy Universal Functions (20 min.) Numpy Axis (14 min.) 2.B – Pandas (45 min.) Why Pandas (7 min.) […]
Formulating Your Research Question(s)
To come up with a good research question for the 216 Final Project, try testing your potential questions against the following criteria: Is your research question clear? Does your research question present the problem with enough context such that the person reading it doesn’t need to go on an internet goose chase to understand it? […]
Module 01: Python & Jupyter Notebook
Prepare (due Mon 9/2) Content below if you need a refresher on Python Canvas quizzes Install Anaconda (see the Resources page for more instructions) Class engagement – See on the class forum Homework (due Sun 9/8, 11:59 PM, late due Sun 9/15) [Link] Content (Slides in the Box folder) 1.A – Python3 (14 min.) Python vs. Java (3 min.) Data […]
Project: Initial Plan
Due: Saturday, Sept. 21st General Directions The purpose of this document is to ensure that your group is choosing a substantial research project topic that is interesting and worthwhile. You will be working on the collaborative final project for a large portion (~14 weeks) of this course, and will use this deliverable to brainstorm project […]
Project: Group Formation
Due: Friday, Sept. 6th In place of a final exam, this course has a collaborative final project where we ask you to bring your data science skills to bear on a research project of your own choosing. It is time to start forming groups (of 4-5 students) for the project. Fill out the group formation […]
Module 00: What is data science? & Central Tendency
Prepare (due Thu 8/29, Late due 9/7) Content below if you need a refresher on Python or central tendency Canvas quizzes Class engagement – See on the class forum Homework – None Content (Slides in the Box folder) 1.A – Welcome to the class! 1.B – Central Tendency If you need a refresher/overview on the definitions […]
(In-person) Exam Retakes
This post outlines what the in-person exam retakes will be like. Tell us you are coming by filling out the retake exam via this form (by Wednesday 12/11; help save paper!) When: Saturday 12/14, 9-12 pm Exam 1 Retake: 9-10:15 pm Exam 2 Retake: 10:45-12:00 pm (We will likely have a wiggle room of 5 […]
