Map Your World With GIS. Explore the tools, concepts, and terminology of spatial analysis and modeling

4.8

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4,711 ratings

Nick Santos

56,019 already enrolled

Offered By

Geographic Information Systems (GIS) SpecializationUniversity of California, Davis

What you will learn

Create and work with raster data.

Develop and analyze data for the geospatial analysis project.

Develop a large processing workflow in ModelBuilder.

Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis.

Skills you will gain

Geographic Information System (GIS)SatelliteImagery AnalysisModel Buildingspatial visualizationSpatial AnalysisData AnalysisData Visualization (DataViz)SoftwareAnalyticsWorkflowData Management

About this Specialization

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Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques. Interested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.

Applied Learning Project

Learners will work through the various course projects to gain experience and skills related to geographic information systems. Each course reviews the concepts in a final project to reinforce your learning. Each course builds on the knowledge of the previous and the Specialization culminates with a capstone where you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio.

Learner Career Outcomes

50%

Started a new career after completing this specialization.

25%

Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Comfortable using a computer. Experience with data analysis is useful, but not required.

Approximately 6 months to complete

Suggested pace of 7 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish

Learner Career Outcomes

50%

Started a new career after completing this specialization.

25%

Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Comfortable using a computer. Experience with data analysis is useful, but not required.

Approximately 6 months to complete

Suggested pace of 7 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 5 Courses in this Specialization

Course1

Course 1

Fundamentals of GIS

4.8

stars

4,589 ratings

•

1,421 reviews

Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules:

Week 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions. Week 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map. Week 3: Make your own maps! Symbolize data and create an eye-catching final product. Week 4: Share your data and maps and learn to store and organize your data. Take Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program. Students who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.

Course2

Course 2

GIS Data Formats, Design and Quality

4.9

stars

1,827 ratings

•

392 reviews

In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules:

Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS. Week 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products. Week 4: Explore datasets and assess them for quality and uncertainty. You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online. Take GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.

Course3

Course 3

Geospatial and Environmental Analysis

4.8

stars

1,065 ratings

•

236 reviews

Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products.

In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules: Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Learn how to use environment variables to constrain your analyses and get better quality data products. Week 4: Expand your knowledge of symbology. Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first and second courses in this specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", before taking this course. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program.

Course4

Course 4

Imagery, Automation, and Applications

4.9

stars

610 ratings

•

125 reviews

Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!).

Using the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules: Week 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification. Week 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro. Week 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis. Week 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, "Fundamentals of GIS," "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis," respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.

Instructor

Nick Santos

Geospatial Applications Researcher

Center for Watershed Sciences

129,680 Learners

6 Courses

Offered by

University of California, Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.

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Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.
What will I be able to add to my portfolio to show employers after completing the capstone?
You will have your choice of several capstone project to demonstrate your mastery of the Specialization content. The project will highlight your skill in data analysis and display your results on a professional quality map. You will be able to share your project digitally or in print.
What software do I need and where can I get it?
The Specialization uses ArcGIS for Desktop. Instructions will be provided inside the course to download a free educational license. Please check below to make sure your computer meets the requirements to run ArcGIS.
What GIS software does this specialization cover? Do you cover QGIS, MapWindow, etc?
We use the Esri suite of products in this specialization because it is in the most demand across the broadest set of industries. We cover ArcGIS Desktop, specifically ArcMap and ArcCatalog, with an introduction to ArcGIS Online. Learners comfortable with computers will be able to take what is learned in these classes and apply it to other GIS systems, though they are not explicitly taught in this specialization.
What type of computer do I need to use ArcGIS and complete the course?
ArcGIS requires a computer running Microsoft Windows, please visit Esri’s website to view the current system requirements for ArcGIS Desktop: http://desktop.arcgis.com/en/desktop/latest/get-started/system-requirements/arcgis-desktop-system-requirements.html.
If you would like to take the course using a Mac, it is possible, but you must feel comfortable setting up and installing Microsoft Windows on your Mac, either using virtualization software such as VirtualBox (free), BootCamp (free), Parallels, or VMWare. If you do not already have a Windows license, a free trial is available, but then you may be required to purchase a license in the future. A forum post in the first course includes tips from other students who have gone through the courses using a Mac to help you get set up. Still, getting the software set up on a Mac (or Linux) is ultimately up to you and not currently a supported configuration for this course. We hope to offer cross-platform training in the near future.
Do I need to know anything about GIS to take this specialization?
This specialization is for beginners, and assumes no pre-existing knowledge of GIS. Pre-existing knowledge in GIS will help you to absorb concepts more quickly, but is not required.
What is required to verify and complete the paid specialization?
Students need to pay the specialization fee, verify their identity (requires a webcam and physical keyboard). To learn more about the verification process please visit: https://www.coursera.org/signature/. If you have issues with the verification process please visit the troubleshooting page: https://learner.coursera.help/hc/en-us/articles/201212579-Verification-Troubleshooting
How often do courses in the specialization run? If I miss this session, when can I join?
All courses in the specialization, except the final capstone project, have sessions that begin weekly, so if you miss a session or fall behind, you can enroll when you're ready. Courses each take about 4 weeks to complete, depending on the pace you follow. The capstone project runs approximately every 8 weeks in order to ensure enough students are in the course to give feedback and grades. The capstone project also takes longer (recommended time is about 8 weeks).

More questions? Visit the Learner Help Center.