bar chart created with python for urban planning course

Python Data Analysis and Visualization

In this course we will learn how to use Python to conduct basic data analyses and create attractive visualizations.

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Course Info

  • Duration 7 video lessons (72 Mins)
  • Published Published
    2018
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Browse Course Chapters

  • Chapter Locked
    1.
    Introduction
    Chapter Duration 2 mins
  • Chapter Locked
    2.
    Pandas Basics
    Chapter Duration 15 mins
  • Chapter Locked
    3.
    Working with CSV Files
    Chapter Duration 8 mins
  • Chapter Locked
    4.
    Dropping and Editing Data
    Chapter Duration 10 mins
  • Chapter Locked
    5.
    Selecting Data, Part 1
    Chapter Duration 11 mins
  • Chapter Locked
    6.
    Selecting Data, Part 2
    Chapter Duration 14 mins
  • Chapter Locked
    7.
    Data Visualization
    Chapter Duration 8 mins

Course Description

In this course we will learn how to use Python to conduct basic data analyses and create attractive visualizations. In the previous course, we explored how to get Python set up on our computers. Now we’ll learn how to load data files, analyze the data with pandas, and visualize it with matplotlib.

Learn these skills

  • Data Analysis
  • Data Visualization
  • Technology

AICP CM

This course is approved for 1.25 AICP CM credit.

SACPLAN CPD

This course is approved for 1 SACPLAN CPD point.

Meet Your Instructor

Geoff Boeing

Geoff Boeing

Geoff Boeing has a Ph.D. in City and Regional Planning from the University of California, Berkeley.

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Course Reviews

4.35
taxpayer

taxpayer

Satisfied
It takes quite a while to work thru this course, especially if one tries to emulate the examples. If you take a break or want to go back to review, the kludgy Planetizen interface sometimes kicks you out to various other parts of the course. But the material is presented well, and the explanations clear. I would have appreciated clarification (maybe in a text handout) as to which is python, which is panda, which is jupyter... but I suppose I will figure that out as we proceed. By saving the notebook I sort of have notes about everything covered.
Samuele Graziano

Samuele Graziano

Extremely Satisfied
Carli Meyer

Carli Meyer

Satisfied
Jennifer Molina

Jennifer Molina

Satisfied

Course Reviews

51%
36%
13%
1%
1%
taxpayer

taxpayer

Satisfied
It takes quite a while to work thru this course, especially if one tries to emulate the examples. If you take a break or want to go back to review, the kludgy Planetizen interface sometimes kicks you out to various other parts of the course. But the material is presented well, and the explanations clear. I would have appreciated clarification (maybe in a text handout) as to which is python, which is panda, which is jupyter... but I suppose I will figure that out as we proceed. By saving the notebook I sort of have notes about everything covered.
Samuele Graziano

Samuele Graziano

Extremely Satisfied
Carli Meyer

Carli Meyer

Satisfied
Jennifer Molina

Jennifer Molina

Satisfied
Julian Joseph

Julian Joseph

Satisfied
David Cooper 1

David Cooper 1

Extremely Satisfied
ahachey

ahachey

Extremely Satisfied
Stepan Glushkov

Stepan Glushkov

Extremely Satisfied

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