In this project-based course, 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 completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases:
Este curso faz parte do Programa de cursos integrados Sistema de Informação Geográfica (SIG)
oferecido por
Programa de cursos integrados Sistema de Informação Geográfica (SIG)Universidade da Califórnia, DavisInformações sobre o curso
18,043 visualizações recentes
Resultados de carreira do aprendiz
46%
comecei uma nova carreira após concluir estes cursos
50%
consegui um benefício significativo de carreira com este curso
25%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 62 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
O que você vai aprender
Create a GIS project proposal
Develop a hypothesis for a GIS-based question
Complete a data analysis in line with your project objectives
Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis
Habilidades que você terá
Geographic Information System (GIS)Data AnalysisProjectMap AnalysisProject Management
Resultados de carreira do aprendiz
46%
comecei uma nova carreira após concluir estes cursos
50%
consegui um benefício significativo de carreira com este curso
25%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 62 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
oferecido por
Universidade da Califórnia, 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.
Programa - O que você aprenderá com este curso
3 horas para concluir
Course Overview and Milestone 1: Project Proposal
In this milestone, you will have weeks 1 and 2 to build a project proposal that contains your research question or hypothesis, background information, potential data sources and methods, and your expected results. This proposal will lead you into future milestones by providing a guide to help keep your analysis on track. You will start by getting an overview of the entire project and the assignment for this first milestone. From there, you will learn about some sources for project ideas and data sources and look at an example project proposal.
3 horas para concluir
4 vídeos (Total 56 mín.), 7 leituras
4 videos
Course Overview5min
Project Proposal Overview10min
Vector-Based Suitability Analysis (Review from Imagery, Automation, and Applications)15min
Classifying Imagery and Derived Products (Review from Imagery, Automation, and Applications)25min
7 leituras
Course Project Overview15min
Getting Help in this Course5min
Milestone 1 Assignment Preview10min
Finding Project Ideas10min
Data Sources For Your Project10min
Example Project Proposal10min
Extra Practice: Make Your Project a Website10min
12 horas para concluir
Milestone 1: Project Proposal Submission
In this module, you will continue to work through Milestone 1, your project proposal as outlined in the first week. You will then submit your proposal for peer review.
12 horas para concluir
14 horas para concluir
Milestone 2: Planning Your Workflow
In this milestone, you will have week 3 to practice your algorithmic development. In the previous milestone, you posed a question you want to answer - now you'll develop a plan, your algorithm, for how to answer that question with GIS. In practice, this means you'll develop a ModelBuilder model that shows your planned analysis workflow, or some part of it. For those of you who are conducting an analysis that's not conducive to making a model, you can write out your series of steps instead. Regardless, by the end of this module, you'll have a plan for how to produce your results.
14 horas para concluir
9 vídeos (Total 95 mín.), 2 leituras, 1 teste
9 videos
What is ModelBuilder? (Review from Imagery, Automation, and Applications)12min
Creating Toolboxes and Tools with ModelBuilder (Review from Imagery, Automation, and Applications)12min
Setting Up a Larger Model (Review from Imagery, Automation, and Applications)12min
Using Interface Tools as Geoprocessing Tools in ModelBuilder (Review from Imagery, Automation, and Applications)8min
Feature Layers and Selections in Models (Review from Imagery, Automation, and Applications)10min
Branching, Preconditions, and Viewing Progress Interactively (Review from Imagery, Automation, and Applications)14min
Polishing Models for Reuse (Review from Imagery, Automation, and Applications)13min
Advanced Models and Exporting Models to Python (Review from Imagery, Automation, and Applications)6min
2 leituras
Milestone 2 Assignment Preview10min
Extra Practice: Data Analysis10min
26 minutos para concluir
Milestone 3: Data Analysis
For this milestone, you will have weeks 4, 5, and 6 to process your data according to the model you created in the previous milestone, reinforcing your data analysis concepts and practice. When you complete your analysis, you will add metadata to any resulting layers, and you will also write an assessment of what the results mean and how they answer your research question.
26 minutos para concluir
1 vídeo (Total 6 mín.), 2 leituras
1 vídeos
2 leituras
Milestone 3 Assignment Preview10min
Example Methods and Results Document10min
Avaliações
Principais avaliações do GEOSPATIAL ANALYSIS PROJECT
por MD5 de Jun de 2017
This is an integrated project to go through the knowledge aquired during the entire specialization. I partaked in many MOOCs but this one in GIS has been one of the best I had never taken.
por DE29 de Mai de 2017
Excellent course and excellent specialization! I got new knowledge and great pleasure from studying! Many thanks to Coursera, UC Davis and personally to Nick Santos!
por PP22 de Nov de 2017
Excellent course, I really liked pursuing the project of my choice and facing and demolishing all the challenges I faced on my way to the completion of the project.
por AR9 de Dez de 2020
This course is good not only for beginners but also for intermediate learners. Course 4 is the best for me. Please be aware of who make plagiarisms in Course 5.
Sobre Programa de cursos integrados Sistema de Informação Geográfica (SIG)
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Is financial aid available?
Ganharei créditos universitários por concluir o curso?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
