We may earn an affiliate commission when you visit our partners.
Abdishakur Hassan
In this 1-hour long project-based course, you will learn how to easily create beautiful data visualization with Kepler and effectively design different geospatial data visualizations.
Register for this course and see more details by visiting:
OpenCourser.com/course/1d2gsu/geospatial
Two deals to help you save
Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until July 14
Coursera Plus Annual
Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.
Up to
40%
off
Get offer
Valid until August 30
Google AI App Builder
Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind
Take
100%
off
Get offer
What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Helps learners design data visualizations for geospatial data
Utilizes Kepler GL, an industry-standard tool for geospatial data visualization
Taught by Abdishakur Hassan, an experienced instructor in data visualization
Focuses on practical skills, with a project-based approach
Suitable for learners with basic knowledge of data visualization
Provides hands-on experience with Kepler GL, a specialized tool for geospatial data visualization
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Quick, practical kepler gl visualization
According to learners, this course is a highly effective and efficient introduction to Kepler GL for geospatial big data visualization. Students praise its project-based, hands-on approach, which makes learning the tool's core functionalities, including point, polygon, animation, and flow maps, very practical. Many found the instructor's guidance clear and step-by-step, enabling quick skill acquisition and immediate application, especially for busy professionals. While generally seen as a strong foundation, some feedback suggests it is too basic for advanced users and a few learners encountered initial environment or data setup challenges. Despite isolated reports of outdated content, recent reviews indicate the course remains relevant and valuable.
Recent reviews suggest the course content remains relevant and functional.
"Perfect for a quick skill acquisition. The course is concise and directly applicable to my work."
"Absolutely fantastic! I've been looking for a resource to visualize big geospatial data, and it works seamlessly."
"I found the instructions perfectly aligned with the current software, making the project smooth and usable."
The instructor's explanations and effective demonstrations are highlighted.
"I loved how the instructor walked through everything step-by-step."
"Clear explanations and effective demonstrations of different visualization types. Exactly what I needed!"
"The instructor was very clear and the pace was just right. Great for a quick skill upgrade."
An efficient, hands-on way to master Kepler GL basics.
"Fantastic quick intro to Kepler GL! The hands-on project was incredibly useful for understanding how to use the tool."
"This 1-hour course perfectly delivered on its promise. I needed a fast way to get started and it was spot on."
"As a GIS professional, I found this course an excellent way to quickly pick up Kepler GL. It's project-based, so you learn by doing."
Some learners faced hurdles with environment or data setup.
"The course was okay, but I ran into some issues with the environment setup that weren't fully addressed."
"The main issue was finding and setting up the data. Some parts felt a bit vague without prior GIS knowledge."
"I think the course could benefit from a short troubleshooting section for common setup problems."
Offers a solid foundation but may lack depth for experienced users.
"My only minor gripe is that it could use a little more depth on data preparation or advanced features..."
"Found this course too basic for my needs as an experienced data scientist. It's more of a click-through tutorial than deep learning."
"It's concise, so I didn't expect deep dives, but it equips me well for independent exploration afterwards."
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 Geospatial Big Data Visualization with Kepler GL with these
activities:
Organize and Review Course Materials
Show steps
Organize and review course materials to enhance understanding and retention.
Show steps
-
Organize lecture notes, assignments, and other materials into a structured format.
-
Review materials regularly to reinforce understanding.
-
Summarize key concepts and findings in your own words.
Review Data Visualization Concepts
Show steps
Review data visualization concepts to ensure a strong foundation in the subject matter.
Browse courses on
Data Visualization
Show steps
-
Review the fundamentals of visual encoding, such as color, shape, and size.
-
Explore different types of data visualizations, such as charts, maps, and graphs.
-
Practice creating simple data visualizations using a data visualization tool.
Participate in Peer Study Group
Show steps
Engage in a peer study group to discuss concepts, share insights, and support learning.
Show steps
-
Join a study group with other students in the course.
-
Meet regularly to discuss course topics, ask questions, and solve problems together.
-
Contribute to the group by sharing your understanding and insights.
Two other activities
Expand to see all activities and additional details
Show all five activities
Explore Kepler GL Documentation
Show steps
Explore Kepler GL documentation to gain a deeper understanding of its features and capabilities.
Browse courses on
Geospatial Data Processing
Show steps
-
Review the Kepler GL documentation.
-
Identify specific sections relevant to the course content.
-
Apply the information learned to your own data visualization projects.
Follow Geospatial Data Visualization Tutorials
Show steps
Follow geospatial data visualization tutorials to learn specific techniques and apply them in practice.
Show steps
-
Identify a geospatial data visualization tutorial that aligns with the course content.
-
Follow the steps and instructions provided in the tutorial.
-
Apply the techniques learned from the tutorial to different geospatial datasets.
Organize and Review Course Materials
Show steps
Organize and review course materials to enhance understanding and retention.
Show steps
Show steps
Show steps
- Organize lecture notes, assignments, and other materials into a structured format.
- Review materials regularly to reinforce understanding.
- Summarize key concepts and findings in your own words.
Review Data Visualization Concepts
Show steps
Review data visualization concepts to ensure a strong foundation in the subject matter.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review the fundamentals of visual encoding, such as color, shape, and size.
- Explore different types of data visualizations, such as charts, maps, and graphs.
- Practice creating simple data visualizations using a data visualization tool.
Participate in Peer Study Group
Show steps
Engage in a peer study group to discuss concepts, share insights, and support learning.
Show steps
Show steps
Show steps
- Join a study group with other students in the course.
- Meet regularly to discuss course topics, ask questions, and solve problems together.
- Contribute to the group by sharing your understanding and insights.
Two other activities
Expand to see all activities and additional details
Show all five activities
Explore Kepler GL Documentation
Show steps
Explore Kepler GL documentation to gain a deeper understanding of its features and capabilities.
Browse courses on
Geospatial Data Processing
Show steps
Show steps
Show steps
- Review the Kepler GL documentation.
- Identify specific sections relevant to the course content.
- Apply the information learned to your own data visualization projects.
Follow Geospatial Data Visualization Tutorials
Show steps
Follow geospatial data visualization tutorials to learn specific techniques and apply them in practice.
Show steps
Show steps
Show steps
- Identify a geospatial data visualization tutorial that aligns with the course content.
- Follow the steps and instructions provided in the tutorial.
- Apply the techniques learned from the tutorial to different geospatial datasets.
Career center
Learners who complete Geospatial Big Data Visualization with Kepler GL will develop knowledge and skills
that may be useful to these careers:
Geospatial Data Analyst
Geospatial Data Analyst
Geospatial Data Analysts use their knowledge of geospatial data and data analysis techniques to solve problems and make decisions. They may work in a variety of industries, including environmental science, urban planning, and transportation. This course can help you develop the skills you need to succeed as a Geospatial Data Analyst by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all essential skills for Geospatial Data Analysts.
GIS Analyst
GIS Analyst
GIS Analysts use geographic information systems (GIS) to create and analyze maps and other geospatial data. They may work in a variety of industries, including environmental science, urban planning, and transportation. This course can help you develop the skills you need to succeed as a GIS Analyst by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all essential skills for GIS Analysts.
Data Scientist
Data Scientist
Data Scientists use data analysis techniques to extract insights from data. They may work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to succeed as a Data Scientist by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Data Scientists.
Business Analyst
Business Analyst
Business Analysts use data analysis techniques to solve business problems. They may work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to succeed as a Business Analyst by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Business Analysts.
Urban Planner
Urban Planner
Urban Planners use data analysis techniques to plan and design cities and towns. They may work in a variety of settings, including government agencies, non-profit organizations, and private companies. This course can help you develop the skills you need to succeed as an Urban Planner by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Urban Planners.
Transportation Planner
Transportation Planner
Transportation Planners use data analysis techniques to plan and design transportation systems. They may work in a variety of settings, including government agencies, non-profit organizations, and private companies. This course can help you develop the skills you need to succeed as a Transportation Planner by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Transportation Planners.
Environmental Scientist
Environmental Scientist
Environmental Scientists use data analysis techniques to study the environment. They may work in a variety of settings, including government agencies, non-profit organizations, and private companies. This course can help you develop the skills you need to succeed as an Environmental Scientist by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Environmental Scientists.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They may work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to succeed as a Software Engineer by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Software Engineers.
Web Developer
Web Developer
Web Developers design and develop websites. They may work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to succeed as a Web Developer by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Web Developers.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use data visualization techniques to communicate data insights to stakeholders. They may work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to succeed as a Data Visualization Specialist by teaching you how to visualize geospatial data with Kepler GL. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which are all valuable skills for Data Visualization Specialists.
Graphic Designer
Graphic Designer
Graphic Designers create visual content, such as logos, brochures, and websites. They may work in a variety of industries, including marketing, advertising, and publishing. This course may be useful for Graphic Designers who want to learn how to visualize geospatial data. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which can be valuable skills for Graphic Designers who want to create maps and other geospatial data visualizations.
UX Designer
UX Designer
UX Designers design the user experience for websites and apps. They may work in a variety of industries, including technology, healthcare, and finance. This course may be useful for UX Designers who want to learn how to visualize geospatial data. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which can be valuable skills for UX Designers who want to design maps and other geospatial data visualizations.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. They may work in a variety of industries, including technology, healthcare, and finance. This course may be useful for Product Managers who want to learn how to visualize geospatial data. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which can be valuable skills for Product Managers who want to understand and communicate the geographic distribution of their product's users.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. They may work in a variety of industries, including technology, healthcare, and finance. This course may be useful for Marketing Managers who want to learn how to visualize geospatial data. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which can be valuable skills for Marketing Managers who want to understand and communicate the geographic distribution of their target market.
Sales Manager
Sales Manager
Sales Managers manage sales teams and develop sales strategies. They may work in a variety of industries, including technology, healthcare, and finance. This course may be useful for Sales Managers who want to learn how to visualize geospatial data. This course covers different point and polygon-based visualizations as well as animation and flow maps with Kepler, which can be valuable skills for Sales Managers who want to understand and communicate the geographic distribution of their sales team and customers.
For more career information including salaries, visit:
OpenCourser.com/course/1d2gsu/geospatial
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
Geospatial Big Data Visualization with Kepler GL.
This advanced textbook provides a rigorous treatment of spatial data analysis techniques. It offers a deeper understanding of the statistical and mathematical foundations underlying geospatial analysis, complementing the course's practical focus.
This comprehensive textbook provides a thorough overview of geographic information science and systems. It covers a wide range of topics, including data acquisition, processing, analysis, and visualization, offering a deeper understanding of the field.
Save
This comprehensive guide provides a strong foundation in geospatial analysis, covering fundamental concepts, techniques, and applications. It offers a valuable reference for understanding the broader context of geospatial data visualization.
Save
This classic text on cartography provides a comprehensive exploration of thematic map design principles. It offers a historical and theoretical context for geospatial visualization, enriching the course's focus on data storytelling.
This textbook offers a comprehensive overview of thematic cartography and geographic visualization. It provides a deeper understanding of the principles and techniques used in creating effective maps and visualizations.
Provides a practical guide to creating interactive web maps using open source tools and technologies. It offers valuable insights into the principles and techniques involved in building effective web mapping applications.
Introduces data visualization using Tableau, a popular business intelligence tool. It provides a practical guide to creating interactive and engaging data visualizations, complementing the course's focus on storytelling.
Explores interactive data visualization techniques, including those used in Kepler.gl. It provides a comprehensive understanding of the principles and technologies behind effective data visualization, enhancing the course's focus on visual storytelling.
Save
This beginner-friendly book offers a broad overview of data visualization principles and techniques. It provides a solid foundation for understanding the concepts and considerations involved in effective data visualization.
Save
This introductory guide to GIS provides a solid background in geospatial concepts and terminology. It is particularly useful for learners who are new to the field or need a refresher on the fundamentals.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1d2gsu/geospatial
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
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 - 2025 OpenCourser