University of California, Davis - GIS Data Formats, Design and Quality
- Offered byCoursera
GIS Data Formats, Design and Quality at Coursera Overview
Duration | 28 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
GIS Data Formats, Design and Quality at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 5 in the Geographic Information Systems (GIS) Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level At least 2 years experience, comfortable doing data analysis, and fundamental grasp of GIS concepts.
- Approx. 28 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
GIS Data Formats, Design and Quality at Coursera Course details
- 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.
GIS Data Formats, Design and Quality at Coursera Curriculum
Course Overview & Data Models and Formats
Course Overview
Course Mechanics
Module 1 Overview
Vector Data Concepts
Vector Data in Action
Raster Data Concepts
Rasters in Action
Scale and Implications
Managing Data in the Catalog Window
Data Design: Attribute Types
Using Vector Attribute Tables
Data Design: Joins and Relates
Data Design: Separating Data, Part 1
Data Design: Separating Data, Part 2
Module 1 Summary
Getting Started in this Course
Getting a license
Tutorial Assignment 1: Data Structures and Personal Geodatabases
Extra Practice for Lessons 1 and 2
Lesson 1 Quiz: Rasters and Vectors
Lesson 2 Quiz: Data Design
Creating and Working with Vector Data
Module 2 Overview
Working with Geoprocessing Tools
Intersect Tool
Writing Query Strings
Writing Query Strings: Boolean Operators
Adding and Calculating Fields
Interactive Selection
Using and Configuring Selections in ArcGIS
Editing Existing Data
Data Design: Creating New Feature Classes
Basic Digitizing
Workflow: Preparing Data
Workflow: Making Point Data from Coordinates
Module 2 Summary
Tutorial Assignment 2: Editing Data
Extra Practice for Lessons 3 and 4
Lesson 3 Quiz: Processing and Geoprocessing
Lesson 4 Quiz: Creating and Editing Data
Storage Formats and Working with Rasters
Module 3 Overview
Geodatabase Features and Design
File Geodatabases
Personal Geodatabases
Shapefiles
Workflow: Percent Overlap
Supplemental: Intro to SQLite Databases
Overview of Spatial Analyst
Georeferencing Rasters
Raster Calculator
Workflow: Zonal Statistics as Table
Workflow: Managing Data with Zonal Statistics and Join Field
Module 3 Summary
Tutorial Assignment 3: A Suitability Analysis: Spatial Analyst, Raster Data, and DEMs
Extra Practice for Lessons 5 and 6
Lesson 5 Quiz: Data Storage
Lesson 6 Quiz: Creating Raster Data
Data Quality and Creating Web Maps
Module 4 Overview
Assessing Data Quality and Uncertainty
Data Quality, Part 2: Measurement and Representation
Topology
Loading Layers in ArcGIS Online
Applying Symbology in ArcGIS Online
Map Annotations and Scaling in ArcGIS Online
Saving and Sharing Maps with ArcGIS Online
Module 4 Summary
Course Summary
Short Tutorial: Exporting Shapefiles and Uploading them to Web Maps
Extra Practice for Lessons 7 and 8
Lesson 7 Quiz: Uncertainty and Quality
Lesson 8 Quiz: ArcGIS Online
Moving Valmeyer Final Quiz
GIS Data Formats, Design and Quality at Coursera Admission Process
Important Dates
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