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Python for Geospatial

learn to write Python scripts for ArcGIS, QGIS, Postgres, and other geospatial software
4.1
4.1/5
(344 reviews)
2,813 students
Created by

7.5

CourseMarks Score®

5.0

Freshness

7.9

Feedback

8.9

Content

Platform: Udemy
Price: $17.99
Video: 2h 11m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

7.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

5.0 / 10
This course was last updated on 6/2017.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.9 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.9 / 10
Video Score: 7.9 / 10
The course includes 2h 11m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 24 minutes of 1,300 Python courses on Udemy.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
2 resources.
0 exercise.
0 tests or quizzes.

Table of contents

Description

If you are in the field of GIS, you’re probably hearing everyone talking about Python, whether it’s Arcpy in ArcGIS or special Python packages for doing things like geocoding.  In this course I am going to show you how to write Python code to perform spatial analysis.  The course isn’t so much about learning Python, but rather how to integrate different spatial libraries within your Python code.  Using the course videos, you will work alongside of me to learn how I go about cobbling together Python code and various packages to solve spatial problems.  I’ll provide you with all the data that I demonstrate in the course.
Of course, we’ll have a brief overview of Python.  But after the brief refresher, we will dive into using Python with Open Source GIS and commercial GIS software.  Most courses only go over a single GIS program’s use of Python.  But in this class, you’ll get exposed to all kinds of different GIS software products, and learn how to tie them all together with Python.  

You will learn

✓ Write basic Python scripts to automate data
✓ Use Python to interact with Postgres and PostGIS
✓ Use Python to interact with ArcGIS
✓ Use Python to geocode addresses and place them on a map
✓ Perform standard GIS tasks using Python, and string your code together to perform many steps in a sequence
✓ Place the results of your spatial analysis into chart or graphs using Python

Requirements

• Students should have some basic familiarity with scripting.
• The key to this class is not really being an excellent Python programmer, but rather knowing what you want to do with a GIS, and then finding the correct Python syntax to get the job done.

This course is for

• This course is meant for anyone who wants to learn how to automate GIS tasks using Python.
• This course isn’t focused on a single application’s use of Python, but will provide identical solutions in Open Source GIS, ArcGIS, and other packages.

How much does the Python for Geospatial course cost? Is it worth it?

The course costs $17.99. And currently there is a 64% discount on the original price of the course, which was $49.99. So you save $32 if you enroll the course now.
The average price is $19.0 of 1,300 Python courses. So this course is 26% cheaper than the average Python course on Udemy.

Does the Python for Geospatial course have a money back guarantee or refund policy?

YES, Python for Geospatial has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python for Geospatial course, but there is a $32 discount from the original price ($49.99). So the current price is just $17.99.

Who is the instructor? Is Arthur Lembo a SCAM or a TRUSTED instructor?

Arthur Lembo has created 19 courses that got 3,445 reviews which are generally positive. Arthur Lembo has taught 12,795 students and received a 4.2 average review out of 3,445 reviews. Depending on the information available, Arthur Lembo is a TRUSTED instructor.
Professor
Dr. Arthur J. Lembo, Jr. is an educator with a passion for GIS and almost 30 years of GIS industry experience.  He has won numerous teaching awards, including the prestigious New York State Chancellors award for Excellence in Teaching (2006), and the Maryland Board of Regents Teaching Award (2018) – both of these awards are the highest awards in academia for both States.  

Currently, Dr. Lembo is a Professor in the Department of Geography and Geosciences at Salisbury University, where he is also the Technical Director of the Eastern Shore Regional GIS Cooperative. Dr. Lembo has published numerous academic papers on GIS, authored a leading textbook on Statistical Problem Solving in Geography, and conducted sponsored research for organizations like the National Science Foundation, NASA, the United States Department of Agriculture, and the Kellogg Foundation.

7.5

CourseMarks Score®

5.0

Freshness

7.9

Feedback

8.9

Content

Platform: Udemy
Price: $17.99
Video: 2h 11m
Language: English
Next start: On Demand

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