1 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Through all four weeks of this Geospatial and Environmental Analysis course offered by Coursera in partnership with UC Davis, 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.

Visit the official programme website for more information

Overview

Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools,  3D data, working with rasters, projections, and environment variables. 

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 the Geospatial and Environmental Analysis course offered by Coursera in partnership with UC Davis 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.

What You Will Learn

  • Create 3-dimensional surfaces
  • Create triangulated irregular networks (TIN) and modify rasters to 3D data 
  • Develop and analyze data for the geospatial analysis project
  • Design color ramps for your data

Programme Structure

Courses include:

  • Course Overview & Geospatial Analysis
  • Rasters and Surfaces
  • Classifying and Viewing Data
  • Working Through a Project

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • At least 2 years experience, comfortable doing data analysis, and fundamental grasp of GIS concepts.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

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.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Geospatial and Environmental Analysis
-
Coursera

Wishlist

Go to your profile page to get personalised recommendations!