【2021年】十大GIS課程人氣排行推薦

本文章推薦「Core Spatial Data Analysis: Introductory GIS with R and QGIS」、「An introduction to GIS and QGIS 3」、「Using Open Source Tools to Create an Enterprise GIS」等相關GIS線上課程,讓您滿足學習的慾望。

你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?

線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

  • 線上課程老師來自於全球,文章推薦的熱門課程除了繁中課程以外還會有機會看到簡中和英文課程,可以針對自己喜好挑選。
  • 呈現的價錢會因為一些活動而有折扣,但折扣有可能一段時間後結束而調整回原價,最終價錢煩請到課程頁面進行確認。





GIS課程總覽

為了節省您的時間,本列表整理每個課程精要,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣課程的「課程名稱」或「課程圖示」可以進一步跳到文章所屬課程的介紹區塊瞭解更多資訊。

課程名稱Core Spatial Data Analysis: Introductory GIS with R and QGISIntroduction to Geospatial Data Analysis with QGIS[Intermediate] Spatial Data Analysis with R, QGIS & MoreUsing Open Source Tools to Create an Enterprise GISBasics of Python & arcpy , the Python library of ESRI ArcGISDisplay and analyze GIS data on the web with LeafletAn introduction to GIS and QGIS 3Species Distribution Models with GIS & Machine Learning in RLand use Land cover classification GIS, ERDAS, ArcGIS, ENVIOpenlayers 6 From Scratch With A Project
課程圖示
1

Core Spatial Data Analysis: Introductory GIS with R and QGIS

2

Introduction to Geospatial Data Analysis with QGIS

3

[Intermediate] Spatial Data Analysis with R, QGIS & More

4

Using Open Source Tools to Create an Enterprise GIS

5

Basics of Python & arcpy , the Python library of ESRI ArcGIS

6

Display and analyze GIS data on the web with Leaflet

7

An introduction to GIS and QGIS 3

8

Species Distribution Models with GIS & Machine Learning in R

9

Land use Land cover classification GIS, ERDAS, ArcGIS, ENVI

10

Openlayers 6 From Scratch With A Project

課程原價NT$ 2,790NT$ 2,790NT$ 2,790NT$ 1,790NT$ 1,790NT$ 2,790NT$ 590NT$ 2,690NT$ 1,590NT$ 2,790
課程售價NT$ 430NT$ 430NT$ 430NT$ 390NT$ 390NT$ 390NT$ 390NT$ 390NT$ 390NT$ 390
課程評價(人數)4.2 分(1,595 個評分)4.4 分(788 個評分)4.4 分(448 個評分)4.4 分(863 個評分)4.3 分(837 個評分)4.5 分(585 個評分)4.6 分(932 個評分)4.4 分(394 個評分)4.7 分(404 個評分)4.5 分(460 個評分)
課程時長2.5 小時3.5 小時5 小時3.5 小時2.5 小時13.5 小時1.5 小時3.5 小時6.5 小時12 小時
學生人數10,574 人6,111 人4,977 人3,755 人3,551 人3,086 人2,928 人2,291 人2,080 人1,632 人
課程特色Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project – Get A Job In Spatial Data!Learn GIS, spatial analysis, web mapping and complete hands on GIS projects with QGISBecome an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTHCreate an enterprise GIS with Postgres SQL, QGIS, and PostGIS to manage users, and support multiple GIS software clientsUnderstand the syntax of Python and essentials of arcpy for geoprocessingClient side mapping applications with the open source javascript libraries Leaflet.js and Turf.jsLearn the fundamentals of GIS and get comfortable with QGIS interface.Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in RLand Use Scratch to Advance, All Softwares of Remote Sensing and GIS. Machine Learning, GIS Tasks in Easy way learning.Master OpenLayers (JavaScript web mapping library) and build web mapping applications
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



GIS課程介紹

推薦的課程以倒序的方式呈現,越往下查看會看到越熱門的,期望您能找到滿意的學習主題!

10

Openlayers 6 From Scratch With A Project

Master OpenLayers (JavaScript web mapping library) and build web mapping applications
NT$ 2,790
NT$ 390

點擊看Udemy

課程老師Ikrom Nishanbaev
課程評價4.5 分(460 個評分)
課程時長12 小時
學生人數1,632 人

課程介紹

OpenLayers is a powerful, community-driven, open-source, JavaScript-based web mapping library, which allows us to develop web mapping applications using a great number of geospatial data sources, data formats, and open geospatial standards such as fr

瞭解更多細節

哪些人適合這堂課?

  • People that want to learn web mapping using OpenLayers
  • GIS (Geographic Information Science) professionals and students

學習目標

  • Basics of OpenLayers
  • All the Key Concepts of OpenLayers
  • Raster Layers – Tiled Raster Layers, Raster Sources, Tiled ArcGISRest, TileWMS, Static Raster Images
  • Vector layers – Vector Tile Layers, Vector Image Layer, Heatmap, Graticule
  • Interacting with Vector Layer Features
  • Styling Vector Layers – points, lines, and polygons, using images as point symbols, styling based on feature properties
  • Overlays
  • Learn How to Manage Multi-layers
  • Projections and Coordinate Reference Systems – different projections, coordinate transformations, and reprojecting of geospatial data
  • Map Interactions
  • Map Controls – styling and manipulating map controls
  • Geolocation API
  • Geospatial formats and standards
  • Learn and Build a Complete OpenLayers Project
  • And much much more!

關注這課程的人也購買了這些…

9

Land use Land cover classification GIS, ERDAS, ArcGIS, ENVI

Land Use Scratch to Advance, All Softwares of Remote Sensing and GIS. Machine Learning, GIS Tasks in Easy way learning.
NT$ 1,590
NT$ 390

點擊看Udemy

課程老師Lakhwinder Singh
課程評價4.7 分(404 個評分)
課程時長6.5 小時
學生人數2,080 人

課程介紹

This is the first landuse landcover course on Udemy the most demanding topic in GIS, In this course, I covered from data download to final results. I used ERDAS, ArcGIS, ENVI and MACHINE LEARNING. I explained all the possible methods of land use clas

瞭解更多細節

哪些人適合這堂課?

  • Civil Engineers
  • Water Resource Experts
  • Master Student of GIS
  • PhD Students of Satellite Data Analysis
  • Research Scholars
  • GIS Analyst
  • Environment and Earth Science Persons
  • Urban and city Planner

學習目標

  • Able to do a Prefect Land use classification of Earth using satellite image
  • Also learn image Processing and analysis in depth
  • Landuse change Detection
  • Understand Features identification on Earth using Landsat Image
  • Post Landuse Pixel level corrections
  • Accuracy Assessment Report
  • Downloading of best satellite image and process
  • Understanding FCC satellite image and bands
  • Pixel level correction in land use at specific area and statistical filters
  • Calculate area from Pixels
  • Generate new class after final landuse
  • Learn all best method of classification.
  • How to achieve maximum accuracy of classification
  • Cut Study Area
  • Classify with Machine Learning
  • Support Vector Machine
  • Random Forest

關注這課程的人也購買了這些…



8

Species Distribution Models with GIS & Machine Learning in R

Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in R
NT$ 2,690
NT$ 390

點擊看Udemy

課程老師Minerva Singh
課程評價4.4 分(394 個評分)
課程時長3.5 小時
學生人數2,291 人

課程介紹

                Are You an Ecologist or Conservationist Interested in Learning GIS and Machine Learning in R?

Are you an ecologist/conservationist looking to carry out habitat suitability mapping?
Are you an ecologist/conservationist looking to get

瞭解更多細節

哪些人適合這堂課?

  • Academics
  • Researchers
  • Conservation managers
  • Anybody who works/will work with spatial data

學習目標

  • You will have a greater clarity of basic spatial data concepts and data types
  • Carry out practical spatial data analysis tasks in freely available software in R
  • Analyze spatial data using R

關注這課程的人也購買了這些…

7

An introduction to GIS and QGIS 3

Learn the fundamentals of GIS and get comfortable with QGIS interface.
NT$ 590
NT$ 390

點擊看Udemy

課程老師Oliver Burdekin
課程評價4.6 分(932 個評分)
課程時長1.5 小時
學生人數2,928 人

課程介紹

This course is a complete introduction to GIS and QGIS. Starting at the beginner level we’ll cover basic terminology and conventions, some of the fundamental principles of GIS, an overview of what QGIS is and then we’ll get started with practical exp

瞭解更多細節

哪些人適合這堂課?

  • This course is for students that have no (or little) prior knowledge of GIS and QGIS 3.
  • It is probably not for those looking for more advanced use of QGIS 3.
  • Those who want to switch from a different GIS program to QGIS 3 will find this course useful.

學習目標

  • understand the fundamental principles of GIS.
  • be familiar with GIS terminology.
  • use the basic functions of QGIS.

關注這課程的人也購買了這些…



6

Display and analyze GIS data on the web with Leaflet

Client side mapping applications with the open source javascript libraries Leaflet.js and Turf.js
NT$ 2,790
NT$ 390

點擊看Udemy

課程老師Michael Miller
課程評價4.5 分(585 個評分)
課程時長13.5 小時
學生人數3,086 人

課程介紹

“This is a great and advanced web mapping application course to solve real world problem. It’s very to follow up and the instructor is very knowledgeable. I would recommend it to anyone who is interested in the field webmapping. Thanks Michael.”

“Ve

瞭解更多細節

哪些人適合這堂課?

  • This course is oriented towards GIS professionals who are interested in expanding their skill sets to display and analyze their data on the web. I use open source software to make the material available to everyone free of charge but many of the concepts will be useful for commercial JavaScript API’s as well. This course will also be useful for Web Developers who want to learn to add maps to their projects with leaflet.

學習目標

  • Learn to find and zoom to your position on a map
  • Learn to use leaflet controls for user interface, geocoding, editing, and loading data
  • Learn what background maps are available and how to use them
  • Learn to create vector data and style it in your map
  • Learn how to export your GIS data to GeoJSON format and load it into the map
  • Learn how to filter a subset of your data
  • Learn how to search for specific data elements and view their attributes
  • Learn how to analyze spatial relationships
  • Much, much, more!

關注這課程的人也購買了這些…

5

Basics of Python & arcpy , the Python library of ESRI ArcGIS

Understand the syntax of Python and essentials of arcpy for geoprocessing
NT$ 1,790
NT$ 390

點擊看Udemy

課程老師Ahmad Aburizaiza
課程評價4.3 分(837 個評分)
課程時長2.5 小時
學生人數3,551 人

課程介紹

Increase your GIS salary by 50% average.

Welcome everyone! This course teaches the essentials of the Python programming language to utilize arcpy, the  Python package for the leading GIS software, ArcGIS – ESRI. It is the first Udemy course about Py

瞭解更多細節

哪些人適合這堂課?

  • ESRI users, ArcMap users
  • GIS interns, geography interns, geospatial interns, spatial interns
  • GIS students, geography students, geospatial students, spatial students
  • GIS technicians, geography technicians, geospatial technicians, spatial technicians
  • GIS analysts, geospatial analysts, spatial analysts
  • Python beginners, arcpy beginners, computer science students, computer science interns
  • Data analysts, Data scientists
  • Geomatics engineers, Civil engineers, environmental engineers

學習目標

  • Understand the essential concepts of the Python programming language.
  • Develop in ArcGIS’s arcpy package using Python.

關注這課程的人也購買了這些…



4

Using Open Source Tools to Create an Enterprise GIS

Create an enterprise GIS with Postgres SQL, QGIS, and PostGIS to manage users, and support multiple GIS software clients
NT$ 1,790
NT$ 390

點擊看Udemy

課程老師Arthur Lembo
課程評價4.4 分(863 個評分)
課程時長3.5 小時
學生人數3,755 人

課程介紹

For years I’ve been hearing everyone talking about Enterprise GIS, but I haven’t seen anyone do it. After this course, I can now say that “I’ve created a multi-user enterprise GIS on my own!” – John from California.

Do you want to learn how to build

瞭解更多細節

哪些人適合這堂課?

  • This course is meant for those looking for hands-on experience building a multi-user enterprise GIS from scratch, using open source tools.
  • Students should have a familiarity with open source tools like QGIS, however, having that experience is not required, as the course is designed to teach student with little or no experience
  • This course is perfect training for someone who is interviewing for a GIS position – not many applicants can articulate how they put together an enterprise GIS.

學習目標

  • Install PostGRES and PostGIS
  • Design a PostGRES database with multiple users and roles
  • Load GIS and attribute data into PostGRES and PostGIS
  • Manage data by including constraints, views, and indexes.
  • Connect GIS software as clients to the Enterprise PostGRES database
  • Perform simultaneous multi-user editing of GIS data
  • Issue spatial and non-spatial SQL to perform geographic analysis
  • Develop an external application (kiosk) in Python
  • Publish enterprise data on the Internet

關注這課程的人也購買了這些…

3

[Intermediate] Spatial Data Analysis with R, QGIS & More

Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH
NT$ 2,790
NT$ 430

點擊看Udemy

課程老師Minerva Singh
課程評價4.4 分(448 個評分)
課程時長5 小時
學生人數4,977 人

課程介紹

PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.

—————————————————————————————————————-

DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE K

瞭解更多細節

哪些人適合這堂課?

  • People who have a basic understanding of spatial data analysis and want to learn more
  • Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
  • Academics
  • Conservation managers
  • GIS Technicians

學習目標

  • Carry out the most common spatial data analysis and GIS tasks using free software tools
  • Perform advanced spatial data analysis and mapping using both R and QGIS
  • Develop robust map-making skills including harnessing the power of Google Earth.
  • Get started with using the powerful, freeware tool GRASS GIS for some spatial data analysis tasks
  • Stop spending money on paid-for GIS software tools
  • Have a solid foundation to learn advanced GIS tasks
  • Gain experience in working with a variety of different spatial data and gain hands-on expertise

關注這課程的人也購買了這些…



2

Introduction to Geospatial Data Analysis with QGIS

Learn GIS, spatial analysis, web mapping and complete hands on GIS projects with QGIS
NT$ 2,790
NT$ 430

點擊看Udemy

課程老師Dr. Alemayehu Midekisa
課程評價4.4 分(788 個評分)
課程時長3.5 小時
學生人數6,111 人

課程介紹

Do you want to learn how to access, process and analyze geospatial data using open source tools?

Do you want to master the fundamental concepts of a geographic information systems?   

Do you want to acquire new hands on geospatial skills that will

瞭解更多細節

哪些人適合這堂課?

  • This course is meant for professionals in various sectors including public health, water resources, urban planning, and others that deal with spatial data.
  • This course is perfect for someone who wants to apply for a GIS Analyst or GIS Specialist job position.
  • Anyone who wants to learn how to access, process and analyze spatial data.

學習目標

  • Install QGIS
  • Import CSV and GIS data into QGIS
  • Understand projection and coordinate systems
  • Download and map raster data from public repository
  • Learn to differentiate between vector and raster data
  • Perform spatial query with tabular data
  • Perform point pattern analysis
  • Generate Heatmap using Kernel Density Algorithm
  • Learn to create and share online maps using web GIS platforms
  • Learn to perform various spatial analysis including buffer, joins, clipping and other spatial analysis
  • Complete a final GIS project on downloading, processing, analyzing and visualizing geospatial data

關注這課程的人也購買了這些…

1

Core Spatial Data Analysis: Introductory GIS with R and QGIS

Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project – Get A Job In Spatial Data!
NT$ 2,790
NT$ 430

點擊看Udemy

課程老師Minerva Singh
課程評價4.2 分(1,595 個評分)
課程時長2.5 小時
學生人數10,574 人

課程介紹

MASTER SPATIAL DATA ANALYSIS IN R & QGIS: HANDS ON TRAINING WITH A REAL SPATIAL DATA PROJECT! 

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the c

瞭解更多細節

哪些人適合這堂課?

  • Academics
  • Researchers
  • Conservation managers
  • Anybody who works/will work with spatial data

學習目標

  • You will have a greater clarity of basic spatial data concepts and data types
  • Carry out practical spatial data analysis tasks in freely available software
  • Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.
  • Analyze spatial data using both R and QGIS
  • Process raster and vector data in both R and QGIS
  • Show off your skills & gain experience by working on a real life conservation related spatial data analysis project
  • Start analyzing spatial data for your own projects using two powerful freeware tools
  • You’ll have a copy of all the data and R scripts used in the course will be provided to students for their reference and to use in their own analysis.
  • You’ll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches

關注這課程的人也購買了這些…



GIS課程總覽

看完了一連串課程的介紹後,你是否還想要再一次進行課程總比較呢?

課程名稱Core Spatial Data Analysis: Introductory GIS with R and QGISIntroduction to Geospatial Data Analysis with QGIS[Intermediate] Spatial Data Analysis with R, QGIS & MoreUsing Open Source Tools to Create an Enterprise GISBasics of Python & arcpy , the Python library of ESRI ArcGISDisplay and analyze GIS data on the web with LeafletAn introduction to GIS and QGIS 3Species Distribution Models with GIS & Machine Learning in RLand use Land cover classification GIS, ERDAS, ArcGIS, ENVIOpenlayers 6 From Scratch With A Project
課程圖示
1

Core Spatial Data Analysis: Introductory GIS with R and QGIS

2

Introduction to Geospatial Data Analysis with QGIS

3

[Intermediate] Spatial Data Analysis with R, QGIS & More

4

Using Open Source Tools to Create an Enterprise GIS

5

Basics of Python & arcpy , the Python library of ESRI ArcGIS

6

Display and analyze GIS data on the web with Leaflet

7

An introduction to GIS and QGIS 3

8

Species Distribution Models with GIS & Machine Learning in R

9

Land use Land cover classification GIS, ERDAS, ArcGIS, ENVI

10

Openlayers 6 From Scratch With A Project

課程原價NT$ 2,790NT$ 2,790NT$ 2,790NT$ 1,790NT$ 1,790NT$ 2,790NT$ 590NT$ 2,690NT$ 1,590NT$ 2,790
課程售價NT$ 430NT$ 430NT$ 430NT$ 390NT$ 390NT$ 390NT$ 390NT$ 390NT$ 390NT$ 390
課程評價(人數)4.2 分(1,595 個評分)4.4 分(788 個評分)4.4 分(448 個評分)4.4 分(863 個評分)4.3 分(837 個評分)4.5 分(585 個評分)4.6 分(932 個評分)4.4 分(394 個評分)4.7 分(404 個評分)4.5 分(460 個評分)
課程時長2.5 小時3.5 小時5 小時3.5 小時2.5 小時13.5 小時1.5 小時3.5 小時6.5 小時12 小時
學生人數10,574 人6,111 人4,977 人3,755 人3,551 人3,086 人2,928 人2,291 人2,080 人1,632 人
課程特色Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project – Get A Job In Spatial Data!Learn GIS, spatial analysis, web mapping and complete hands on GIS projects with QGISBecome an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTHCreate an enterprise GIS with Postgres SQL, QGIS, and PostGIS to manage users, and support multiple GIS software clientsUnderstand the syntax of Python and essentials of arcpy for geoprocessingClient side mapping applications with the open source javascript libraries Leaflet.js and Turf.jsLearn the fundamentals of GIS and get comfortable with QGIS interface.Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in RLand Use Scratch to Advance, All Softwares of Remote Sensing and GIS. Machine Learning, GIS Tasks in Easy way learning.Master OpenLayers (JavaScript web mapping library) and build web mapping applications
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



從老師查找更多課程

以上推薦的課程還沒挑到自己有興趣的嗎?
還是您有熱衷某個老師開的課程呢?
本頁除了提供GIS的課程以外,也列出這些課程所屬的老師的主要資訊頁,您可以從下列選單中了解更多相關介紹或看他們開的其他課程,期望您最終能找到自己想學習的項目。



【2021年】十大GIS課程人氣排行推薦

參考其他數學線上課程

除了本文介紹的課程種類以外,想要瞭解數學領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。


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