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.
Geographic Information Systems (GIS) 專項課程
Map Your World With GIS. Explore the tools, concepts, and terminology of spatial analysis and modeling
提供方
Geographic Information Systems (GIS) 專項課程
University of California, Davis
How the 專項課程 Works
加入課程
Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習，請直接註冊專項課程，或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時，您將自動訂閱整個專項課程。您可以只完成一門課程，您可以隨時暫停學習或結束訂閱。訪問您的學生面板，跟踪您的課程註冊情況和進度。
實踐項目
每個專項課程都包括實踐項目。您需要成功完成這個（些）項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程，則需要在開始之前完成其他所有課程。
獲得證書
在結束每門課程並完成實踐項目之後，您會獲得一個證書，您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。
此專項課程包含 5 門課程
課程1
Fundamentals of GIS
4.8
2,118 個評分
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.
課程2
GIS Data Formats, Design and Quality
4.8
899 個評分
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.
課程3
Geospatial and Environmental Analysis
4.8
522 個評分
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.
課程4
Imagery, Automation, and Applications
4.8
300 個評分
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.
講師
Nick Santos
Geospatial Applications ResearcherCenter for Watershed Sciences
行業合作夥伴
關於 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.
常見問題
退款政策是如何规定的？
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
有助学金吗？
我可以免费学习课程吗？
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程后我会获得大学学分吗？
此专项课程不提供大学学分，但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。
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).
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