We may earn an affiliate commission when you visit our partners.
Mo Rebaie
In this 1-hour long project-based course, you will learn geo-visualization and use it to plot useful maps for your data science projects. By the end of this project, you will have created and visualized geographical plots.
In order to be successful in this project, you should just know the basics of Python.
Register for this course and see more details by visiting:
OpenCourser.com/course/8hv6jg/geo
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Mo Rebaie, who are recognized for their work in data science
Covers geographical data analysis, which is highly relevant to fields like urban planning and environmental science
Develops foundational skills in geo-visualization and data science
Teaches skills that are in high demand in industries like technology and research
Requires only basic knowledge of Python, making it accessible to individuals with a range of experience levels
Save this course
Save Geo-Visualization in Python to your list so you can find it easily later:
Save
Save
Reviews summary
Beginner-friendly python geo-visualization
This concise course is an excellent opportunity to start a beginner's journey with geo-visualization using Python. Ideal for those who are comfortable with the basics of Python and data science, this course teaches the fundamentals of geo-visualization through hands-on, project-based learning. While the majority of students find the course valuable, some note that the pace can be fast, especially towards the end. Overall, reviews praise the ease of learning and the high-quality content.
Project-based learning helps to solidify concepts.
Perfect for learners starting in geo-visualization.
"In order to be successful in this project, you should just know the basics of Python."
Content becomes harder to understand towards the end.
"...the last part of very fast and was difficult to understand"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Geo-Visualization in Python with these
activities:
Read 'Interactive Data Visualization for the Web'
Show steps
Gain insights into the principles and practices of interactive data visualization for web applications.
View
Interactive Data Visualization for the Web: An...
on Amazon
Show steps
-
Read chapters related to geovisualization and map-based visualizations
-
Try out the code examples and explore the interactive visualizations
Review Python Basics
Show steps
Review the basics of Python to ensure you are comfortable with the syntax and fundamentals.
Browse courses on
Python Basics
Show steps
-
Review online tutorials and documentation on Python basics
-
Solve simple Python coding exercises
Follow Geovisualization Tutorials
Show steps
Complete tutorials on geovisualization to learn the techniques and best practices for creating geographical plots.
Show steps
-
Find online tutorials or courses on geovisualization
-
Follow the tutorials step-by-step to create your own geovisualization plots
-
Experiment with different data sets and visualization techniques
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Geovisualization Exercises
Show steps
Complete exercises and practice problems related to geovisualization to reinforce your understanding.
Show steps
-
Find online exercises or textbooks with geovisualization problems
-
Solve the problems and compare your solutions with the provided answers
Attend a Geovisualization Workshop
Show steps
Attend a workshop or seminar on geovisualization to learn from experts and network with other professionals.
Show steps
-
Find a geovisualization workshop or seminar in your area or online
-
Register and attend the event
-
Participate in discussions and ask questions to enhance your learning
Create a Geovisualization Project
Show steps
Work on a project that involves using geovisualization to analyze and present data. This will help you apply the skills you learn in the course.
Show steps
-
Identify a dataset and research a topic for your project
-
Clean and prepare your data
-
Create geovisualization plots using the techniques you learned in the course
-
Present your project findings in a clear and concise manner
Mentor Junior Geovisualization Students
Show steps
Share your knowledge and skills by mentoring junior students or peers who are interested in geovisualization.
Show steps
-
Identify opportunities to mentor others, such as joining a tutoring program or online forum
-
Provide guidance and support to learners as they develop their geovisualization abilities
Participate in a Geovisualization Competition
Show steps
Challenge yourself by participating in a geovisualization competition to test and showcase your skills.
Show steps
-
Find a geovisualization competition that aligns with your interests
-
Prepare your submission by creating innovative and impactful geovisualizations
-
Submit your work and receive feedback from experts
Read 'Interactive Data Visualization for the Web'
Show steps
Gain insights into the principles and practices of interactive data visualization for web applications.
View
Interactive Data Visualization for the Web: An...
on Amazon
Show steps
Show steps
Show steps
- Read chapters related to geovisualization and map-based visualizations
- Try out the code examples and explore the interactive visualizations
Review Python Basics
Show steps
Review the basics of Python to ensure you are comfortable with the syntax and fundamentals.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review online tutorials and documentation on Python basics
- Solve simple Python coding exercises
Follow Geovisualization Tutorials
Show steps
Complete tutorials on geovisualization to learn the techniques and best practices for creating geographical plots.
Show steps
Show steps
Show steps
- Find online tutorials or courses on geovisualization
- Follow the tutorials step-by-step to create your own geovisualization plots
- Experiment with different data sets and visualization techniques
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Geovisualization Exercises
Show steps
Complete exercises and practice problems related to geovisualization to reinforce your understanding.
Show steps
Show steps
Show steps
- Find online exercises or textbooks with geovisualization problems
- Solve the problems and compare your solutions with the provided answers
Attend a Geovisualization Workshop
Show steps
Attend a workshop or seminar on geovisualization to learn from experts and network with other professionals.
Show steps
Show steps
Show steps
- Find a geovisualization workshop or seminar in your area or online
- Register and attend the event
- Participate in discussions and ask questions to enhance your learning
Create a Geovisualization Project
Show steps
Work on a project that involves using geovisualization to analyze and present data. This will help you apply the skills you learn in the course.
Show steps
Show steps
Show steps
- Identify a dataset and research a topic for your project
- Clean and prepare your data
- Create geovisualization plots using the techniques you learned in the course
- Present your project findings in a clear and concise manner
Mentor Junior Geovisualization Students
Show steps
Share your knowledge and skills by mentoring junior students or peers who are interested in geovisualization.
Show steps
Show steps
Show steps
- Identify opportunities to mentor others, such as joining a tutoring program or online forum
- Provide guidance and support to learners as they develop their geovisualization abilities
Participate in a Geovisualization Competition
Show steps
Challenge yourself by participating in a geovisualization competition to test and showcase your skills.
Show steps
Show steps
Show steps
- Find a geovisualization competition that aligns with your interests
- Prepare your submission by creating innovative and impactful geovisualizations
- Submit your work and receive feedback from experts
Career center
Learners who complete Geo-Visualization in Python will develop knowledge and skills
that may be useful to these careers:
Geospatial Analyst
Geospatial Analyst
A Geospatial Analyst uses geo-visualization to solve spatial problems and communicate data through maps. They use data collected from satellite imagery and other sources to analyze spatial patterns and trends. This course introduces learners to these concepts and provides valuable experience with Python-based tools and libraries for working with geospatial data.
Cartographer
Cartographer
A Cartographer uses geo-visualization techniques to create maps. This course provides foundational knowledge in Python-based geo-visualization techniques that can enhance the skills of Cartographers who work with Python.
Data Analyst
Data Analyst
A Data Analyst may use geo-visualization in Python to help a business understand its customers through spatial data. From identifying the geographic areas with the highest customer concentration, to forecasting demand in different regions, understanding spatial relationships is a valuable skill for a Data Analyst. Those interested in a career as a Data Analyst who wish to use geospatial data should take this course.
Data Scientist
Data Scientist
A Data Scientist can use geo-visualization in Python to analyze spatial data. This course provides fundamental concepts of geo-visualization and hands-on experience with Python libraries for working with geospatial data. Data Scientists who wish to work with spatial data should consider this course to enhance their skills.
Geographer
Geographer
A Geographer may use geo-visualization to analyze and present data related to the Earth's surface. This course may be helpful for Geographers who wish to use Python for geo-visualization.
GIS Analyst
GIS Analyst
A GIS Analyst may leverage geo-visualization in Python to analyze and present geographic information. This course may help GIS Analysts who work with Python build a foundation in geo-visualization, which can help them better understand and communicate spatial data.
UX/UI Designer
UX/UI Designer
A UX/UI Designer may use geo-visualization to design interactive maps and other geospatial interfaces. This course provides foundational knowledge and experience with Python-based geo-visualization that can help UX/UI Designers expand their skillset.
Web Developer
Web Developer
A Web Developer may use geo-visualization techniques to create interactive maps and other web-based visualizations. This course provides foundational knowledge and experience with Python-based geo-visualization that can help Web Developers expand their skillset.
Urban Planner
Urban Planner
An Urban Planner may use geo-visualization to analyze and present data related to urban areas. This course may be helpful for Urban Planners who wish to use Python for geo-visualization.
Environmental Scientist
Environmental Scientist
An Environmental Scientist may use geo-visualization to analyze and present data related to the environment, such as pollution levels or land use patterns. This course may be helpful for Environmental Scientists who wish to use Python for geo-visualization.
Transportation Planner
Transportation Planner
A Transportation Planner may use geo-visualization to analyze and present data related to transportation, such as traffic patterns or public transit usage. This course may be helpful for Transportation Planners who wish to use Python for geo-visualization.
Market Researcher
Market Researcher
A Market Researcher may use geo-visualization to analyze and present data related to consumer behavior and market trends. This course may be helpful for Market Researchers who wish to use Python for geo-visualization.
Public Health Analyst
Public Health Analyst
A Public Health Analyst may use geo-visualization to analyze and present data related to public health, such as disease rates or access to healthcare. This course may be helpful for Public Health Analysts who wish to use Python for geo-visualization.
Epidemiologist
Epidemiologist
An Epidemiologist may use geo-visualization to analyze and present data related to the spread of disease. This course may be helpful for Epidemiologists who wish to use Python for geo-visualization.
Statistician
Statistician
A Statistician may use geospatial techniques to analyze data that has a spatial component. This course provides an introduction to geo-visualization which can help Statisticians better understand and communicate spatial data.
For more career information including salaries, visit:
OpenCourser.com/course/8hv6jg/geo
Reading list
We've selected ten 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
Geo-Visualization in Python.
Provides a comprehensive introduction to geocomputation with R. It covers the basics of spatial data handling, analysis, and visualization. The book is well-written and easy to follow, and it valuable resource for anyone interested in learning about geocomputation with R.
A comprehensive textbook on geographic information systems (GIS). It provides a thorough understanding of GIS principles, techniques, and applications.
Save
A concise overview of geospatial technologies. It provides a foundation in concepts, methodologies, and applications.
Provides a practical guide to creating interactive data visualizations for the web. It covers the basics of web development, as well as the different types of interactive data visualizations that can be created. The book is well-written and easy to follow, and it valuable resource for anyone interested in learning about creating interactive data visualizations for the web.
A comprehensive introduction to geospatial development using Python. It provides hands-on experience with data acquisition, manipulation, analysis, and visualization.
A comprehensive guide to the NumPy library for scientific computing. It covers array handling, data manipulation, and mathematical operations.
Provides a comprehensive introduction to data visualization with Python and JavaScript. It covers the basics of data visualization, as well as the different types of data visualizations that can be used to represent data. The book is well-written and easy to follow, and it valuable resource for anyone interested in learning about data visualization with Python and JavaScript.
This comprehensive guide to remote sensing and image interpretation valuable resource for understanding the principles of remote sensing and how it can be applied to various fields.
Provides an exploration into the world of geovisualization, covering topics such as spatial data, visual variables, and geovisual design. It great resource for anyone wanting to expand their knowledge of geovisualization.
Provides a comprehensive overview of cartography and geographic information science. It covers a wide range of topics, including map design, spatial data analysis, and GIS applications. It valuable resource for anyone interested in learning more about these fields.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8hv6jg/geo
Share
Similar courses
Here are nine courses similar to
Geo-Visualization in Python.
Project Management in Basecamp: Make a project plan
OpenCourser.com/course/3jl1dn/project
Project Management in Basecamp: Make a project plan
Building Statistical Models in R: Linear Regression
OpenCourser.com/course/evq8kz/building
Building Statistical Models in R: Linear Regression
Create User Stories in Jira
OpenCourser.com/course/j99ck4/create
Create User Stories in Jira
Capstone: Applying Project Management in the Real World
OpenCourser.com/course/z8s14u/capstone
Capstone: Applying Project Management in the Real World
Introduction to SQL Window Functions
OpenCourser.com/course/90di6d/introduction
Introduction to SQL Window Functions
IT Outsourcing - Dealing with Outsourcing Risks
OpenCourser.com/course/7s1227/it
IT Outsourcing - Dealing with Outsourcing Risks
Performing Confirmatory Data Analysis in R
OpenCourser.com/course/rshq5x/performing
Performing Confirmatory Data Analysis in R
Project Initiation: Starting a Successful Project
OpenCourser.com/course/213ua5/project
Project Initiation: Starting a Successful Project
Project Management Project
OpenCourser.com/course/b4gfa8/project
Project Management Project
Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Mo Rebaie
Good to know
Taught by Mo Rebaie, who are recognized for their work in data science
Covers geographical data analysis, which is highly relevant to fields like urban planning and environmental science
Develops foundational skills in geo-visualization and data science
Teaches skills that are in high demand in industries like technology and research
Requires only basic knowledge of Python, making it accessible to individuals with a range of experience levels
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser