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:
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Geographic Information Systems (GIS)
von
Spezialisierung Geographic Information Systems (GIS)University of California, DavisÜber diesen Kurs
15,085 kürzliche Aufrufe
Karriereergebnisse der Lernenden
46%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
50%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
25%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 5 von 5 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 62 Stunden zum Abschließen
Englisch
Untertitel: Französisch, Portugiesisch (europäisch), Russisch, Englisch, Spanisch
Was Sie lernen werden
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
Kompetenzen, die Sie erwerben
Geographic Information System (GIS)Data AnalysisProjectMap AnalysisProject Management
Karriereergebnisse der Lernenden
46%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
50%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
25%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 5 von 5 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 62 Stunden zum Abschließen
Englisch
Untertitel: Französisch, Portugiesisch (europäisch), Russisch, Englisch, Spanisch
von
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
3 Stunden zum Abschließen
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 Stunden zum Abschließen
4 Videos (Gesamt 56 min), 7 Lektüren
12 Stunden zum Abschließen
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 Stunden zum Abschließen
14 Stunden zum Abschließen
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 Stunden zum Abschließen
9 Videos (Gesamt 95 min), 2 Lektüren, 1 Quiz
26 Minuten zum Abschließen
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 Minuten zum Abschließen
1 Video (Gesamt 6 min), 2 Lektüren
Bewertungen
Top-Bewertungen von GEOSPATIAL ANALYSIS PROJECT
von MD5. Juni 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.
von DE29. Mai 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!
von PP22. Nov. 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.
von AR9. Dez. 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.
Über den Spezialisierung Geographic Information Systems (GIS)
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.
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