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Learning the Open Source GIS Stack

Python for Geospatial

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.

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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.

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Develops skills with open-source GIS, which is standard in the industry

Suitable for learners with some GIS experience who are looking to advance their Python skills

Multi-modal learning experience that combines videos and hands-on exercises

Provides a foundation for integrating Python with ArcGIS and other GIS software

Taught by an industry professional with extensive experience in spatial analysis

Requires learners to have basic Python knowledge, which may pose a barrier to complete beginners

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Career center

Learners who complete Learning the Open Source GIS Stack: Python for Geospatial will develop knowledge and skills that may be useful to these careers:

Geospatial Analyst

A Geospatial Analyst develops and analyzes geographic information systems (GIS) to solve problems and make accurate predictions. This course can help teach the Python programming language, which is commonly used by Geospatial Analysts to perform tasks such as data analysis, visualization, and modeling. Gaining proficiency in Python can open doors to a wide range of opportunities in the field of geospatial analysis.

See salaries and explore the career path for Geospatial Analyst

GIS Developer

GIS Developers use their knowledge of programming languages and GIS software to create and maintain GIS applications. This course can help GIS Developers learn how to use Python to automate tasks, create custom tools, and integrate GIS data with other systems. By enhancing their Python skills, GIS Developers can increase their efficiency and productivity.

See salaries and explore the career path for GIS Developer

GIS Manager

GIS Managers oversee the development and implementation of GIS systems. This course can help GIS Managers understand the technical aspects of GIS, including the use of Python for data analysis and visualization. By gaining a deeper understanding of Python, GIS Managers can make more informed decisions about the use of GIS technology within their organizations.

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Cartographer

Cartographers create maps and other visual representations of geographic data. This course can help Cartographers learn how to use Python to automate map production tasks, create custom maps, and analyze spatial data. By gaining proficiency in Python, Cartographers can improve the quality and efficiency of their work.

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GIS Specialist

GIS Specialists use GIS technology to solve problems in a variety of fields, such as environmental science, urban planning, and transportation. This course can help GIS Specialists learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, GIS Specialists can expand their skillset and become more valuable to their employers.

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Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to analyze data and make predictions. This course can help Data Scientists learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Data Scientists can improve their ability to extract insights from data and make informed decisions.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course can help Software Engineers learn how to use Python for a variety of software development tasks, such as data analysis, visualization, and modeling. By gaining proficiency in Python, Software Engineers can expand their skillset and become more valuable to their employers.

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Web Developer

Web Developers design and develop websites and web applications. This course can help Web Developers learn how to use Python for web development tasks, such as data analysis, visualization, and modeling. By gaining proficiency in Python, Web Developers can improve the quality and efficiency of their work.

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Data Analyst

Data Analysts use their knowledge of statistics, programming, and machine learning to analyze data and make predictions. This course can help Data Analysts learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Data Analysts can improve their ability to extract insights from data and make informed decisions.

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Business Analyst

Business Analysts use their knowledge of business processes and data analysis to help businesses make better decisions. This course can help Business Analysts learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Business Analysts can improve their ability to identify and solve business problems.

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Market Researcher

Market Researchers use their knowledge of research methods and data analysis to help businesses understand their markets and customers. This course can help Market Researchers learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Market Researchers can improve their ability to conduct research and make informed decisions.

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Financial Analyst

Financial Analysts use their knowledge of finance and data analysis to help businesses make investment decisions. This course can help Financial Analysts learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Financial Analysts can improve their ability to analyze financial data and make informed investment decisions.

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Operations Research Analyst

Operations Research Analysts use their knowledge of mathematics and data analysis to help businesses improve their operations. This course can help Operations Research Analysts learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Operations Research Analysts can improve their ability to analyze data and make informed decisions.

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Statistician

Statisticians use their knowledge of statistics and data analysis to help businesses make informed decisions. This course can help Statisticians learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Statisticians can improve their ability to analyze data and make informed decisions.

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Actuary

Actuaries use their knowledge of mathematics and statistics to help businesses assess and manage risk. This course can help Actuaries learn how to use Python for data analysis, visualization, and modeling. By gaining proficiency in Python, Actuaries can improve their ability to analyze data and make informed decisions.

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learning the Open Source GIS Stack: Python for Geospatial.

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MCQ for Data Science Users

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Offers a comprehensive introduction to Python for data analysis, including topics such as data cleaning, manipulation, and visualization.

MCQ for Data Science Users

MCQ for Data Science Users

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Cover image

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Provides a comprehensive overview of QGIS, an open source GIS software, covering the fundamentals of data management, analysis, and visualization.

Geospatial Analysis

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Provides a comprehensive overview of geospatial analysis, covering topics such as data collection, data analysis, and data visualization.

Geospatial Analysis

Geospatial Analysis

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Spatio-Temporal Statistics with R

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Provides a comprehensive overview of statistics for spatial data.

Spatio-Temporal Statistics with R

Spatio-Temporal Statistics with R

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Learning Geospatial Analysis with Python

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Beginner's guide to geospatial analysis using Python, covering topics such as data acquisition, data analysis, and data visualization.

Learning Geospatial Analysis with Python - Fourth...

Learning Geospatial Analysis with Python:...

Learning Geospatial Analysis With Python: An...

Learning Geospatial Analysis with Python

GEOSTATISTICS FOR ENVIRONMENTAL SCIENTISTS.

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Provides an overview of geostatistics for environmental scientists.

GEOSTATISTICS FOR ENVIRONMENTAL SCIENTISTS.

GEOSTATISTICS FOR ENVIRONMENTAL SCIENTISTS.

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Effort

5.5 total hours

Via

Udemy

Good to know

Develops skills with open-source GIS, which is standard in the industry

Suitable for learners with some GIS experience who are looking to advance their Python skills

Multi-modal learning experience that combines videos and hands-on exercises

Provides a foundation for integrating Python with ArcGIS and other GIS software

Taught by an industry professional with extensive experience in spatial analysis

Requires learners to have basic Python knowledge, which may pose a barrier to complete beginners

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