Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Welcome! This repository contains course materials for the Dartmouth Course Storytelling with Data (PSYC 81.09). The syllabus may be found here. Feel free to follow along with the course materials (whether you are officially enrolled in the course or just visiting!), submit comments and suggestions, etc. An outline of the course materials, including links to lecture and discussion videos and assignments may be found here. A YouTube playlist of students' data stories for the 2020W term may be found here, a playlist for the 2021S term may be found here, and a playlist for the 2022W term may be found here.
If you are officially enrolled in this course as a Dartmouth student, please sign up for access to the course's Slack workspace (you need to join using your @dartmouth.edu
email address). You can ask questions and get help with all aspects of the course via Slack. You'll also submit your first two assignments using Slack.
This course is taught as an Open Course, meaning that the course is designed from the ground up to be shareable and accessible to anyone. To that end, all code for this course should be written in Python and organized in a Jupyter notebook. Any data you analyze must be shareable with all other students in the course, and ideally it should be shareable with the public. All code and other student-generated materials will be shared publicly.
Data science is a tricky, rewarding, and often frustrating business. Luckily for us data scientists, there are many places to get help! Examples include:
In todays "Big Data" world, there are an abundance of high-quality, free datasets to enjoy and explore. Below is a short list of websites that are great resources for data (each contains links to many datasets):