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.
第 1 门课程
Fundamentals of GIS
Upcoming session: 5月 16 — 6月 20.
课程学习时间 4 weeks of study, 3-5 hours/week
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.
第 2 门课程
Current session: 5月 2 — 6月 6.
课程学习时间 4 weeks of study, 2-3 hours/week
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. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.
第 3 门课程
Geospatial and Environmental Analysis
于 July 25, 2016 开始
Geospatial analysis allows the user to perform statistical analysis on data that has a spatial component and is one of the core uses for a GIS. 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.
Week 3: 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.
Week 4: Learn how to use environment variables to constrain your analyses and get better quality data products.
Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the third class in the Specialization you will gain the skills needed to succeed in the full program.
第 4 门课程
Imagery, Automation, and Applications
于 May 30, 2016 开始
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: Learn the foundational tools for advanced raster analysis
Week 2: Examine digital elevation models using ArcGIS tools and create derived products such as hillshades and slope rasters.
Week 3: Become familiar with common algorithms for spatial decision making such as suitability analyses and hydrologic processing. You will also learn how to analyze aerial and satellite imagery to perform time-based analysis.
Week 4: Explore the advanced ModelBuilder tool, a visual programming language that allows you to automate sections of your data analysis
Take Imagery, Modeling and Applications as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.
Capstone: Geospatial Analysis
于 August 2016 开始
In the capstone project, 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. Your capstone project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases:
Project Proposal – Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it.
Analysis – Develop the analysis for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type.
Production – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis.
Final Product/Display – Complete your project by submitting usable and attractive maps and your data and algorithm for instructor review and feedback.