Materials for GEOG 30323: Data Analysis & Visualization at TCU
This repository contains course materials (syllabus, Jupyter notebooks, and datasets) for GEOG 30323: Data Analysis & Visualization, taught Fall 2017 at Texas Christian University.
We'll be using the following platforms in this course:
- The Anaconda distribution of the Python (3.5) programming language, delivered by SageMathCloud: https://cloud.sagemath.com/.
- CARTO: https://carto.com/
- Tableau Public 10: download for free from https://public.tableau.com/s/.
Links to course lecture notes:
- Week 1: What is data? http://walkerke.github.io/geog30323/slides/what-is-data/#/
- Week 2: Programming I: Intro to Python http://walkerke.github.io/geog30323/slides/programming-1/#/
- Week 3: Programming II: Functions and modules http://walkerke.github.io/geog30323/slides/programming-2/#/
- Week 4: Programming III: Loops, conditionals, and object-oriented programming http://walkerke.github.io/geog30323/slides/programming-3/#/
- Week 5: Univariate exploratory data analysis http://walkerke.github.io/geog30323/slides/eda-1/#/
- Week 6: Multivariate data exploration http://walkerke.github.io/geog30323/slides/eda-2/#/
- Weeks 7-8: Data wrangling http://walkerke.github.io/geog30323/slides/data-wrangling/#/
- Week 9: Advanced input/output http://walkerke.github.io/geog30323/slides/advanced-io/#/
- Weeks 10-11: Data visualization best practices http://walkerke.github.io/geog30323/slides/data-visualization/#/
- Week 12: Interactive data visualization http://walkerke.github.io/geog30323/slides/interactive/#/
- Weeks 13-14: Geographic data and visualization http://walkerke.github.io/geog30323/slides/geographic/#/
- Week 15: Data communication and data science http://walkerke.github.io/geog30323/slides/communicating/#/
- Week 16: Data ethics http://walkerke.github.io/geog30323/slides/ethics/#/