Geospatial Data Science in Python
  • Syllabus
  • Schedule
    • Section 401
    • Section 402
  • Content
  • Assignments
    • Overview
    • Section 401
    • Section 402
  • Resources
  • GitHub
  • Canvas
  • Ed Discussion

Schedule: Section 401

Note

The schedule is tentative and could change in the future.

Github Repo HTML Slides Executable Slides
Week 1 Exploratory Data Science in Python
Wednesday, August 30 Lecture 1A
Wednesday, September 6 Lecture 1B
HW #1 assigned
Week 2 Data Visualization Fundamentals
Monday, September 11 Lecture 2A
Wednesday, September 13 Lecture 2B
Week 3 More Interactive Data Viz, Intro to Vector Data & GeoPandas
Monday, September 18 Lecture 3A
Wednesday, September 20 Lecture 3B
Week 4 Geospatial Analysis & Mapping
Monday, September 25 Lecture 4A
HW #1 due
HW #2 assigned
Wednesday, September 27 Lecture 4B
Week 5 More Geospatial Analysis: Street Networks and Raster Data
Monday, October 2 Lecture 5A
Wednesday, October 4 Lecture 5B
Week 6 Web Scraping
Monday, October 9 Lecture 6A
HW #2 due
HW #3 assigned
Wednesday, October 11 Lecture 6B
Week 7 Working with APIs
Monday, October 16 Lecture 7A
Wednesday, October 18 Lecture 7B
Week 8 Analyzing and Visualizing Large Datasets
Monday, October 23 Lecture 8A
HW #3 due
HW #4 assigned
Wednesday, October 25 Lecture 8B
Week 9 From Notebooks to the Web: Part 1
Monday, October 30 Lecture 9A
Wednesday, November 1 Lecture 9B
Week 10 From Notebooks to the Web: Part 2
Monday, November 6 Lecture 10A
HW #4 due
HW #5 assigned
Wednesday, November 8 Lecture 10B
Week 11 Clustering Analysis in Python
Monday, November 13 Lecture 11A
Wednesday, November 15 Lecture 11B
Week 12 Predictive Modeling with Scikit-Learn, Part 1
Monday, November 20 Lecture 12A
HW #5 due
HW #6 assigned
Monday, November 27 Lecture 12B
Week 13 Predictive Modeling with Scikit-Learn, Part 2
Wednesday, November 29 Lecture 13A
Monday, December 4 Lecture 13B
Week 14 Advanced Raster Analysis
Wednesday, December 6 Lecture 14A
HW #6 due
Final project proposal due
Monday, December 11 Lecture 14B
Wednesday, December 20 Final project due
Content 2023 by Nick Hand, Quarto layout adapted from Andrew Heiss’s Data Visualization with R course
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