Master GIS Techniques and Open Doors to Amazing Geospatial Careers.

In this course, over 40+ hands-on and practical lectures, I will help you master the most common and important geo-processing tasks that can be performed with ArcGIS Desktop, one of THE MOST important GIS software tools available.

I will also show you the kind of questions answered through Spatial Analysis & data used.

THE STEPS I’LL WALK YOU THROUGH:

First of all, we’ll start some basic GIS tasks like “Zooming”.

Then, we’ll move into more complex processing tasks like “Geo-Statistics”.

We’ll also deal with some theoretical concepts related to Spatial Data Analysis, and then we’ll focus on implementing some of the most common GIS techniques (all the way showing you how to execute these tasks in ArcGIS Desktop).

The stuff you’ll learn from this course will be extremely useful in terms of you being able to implement it on future Spatial Data projects you’ll be working on (in a variety of disciplines from ecology to engineering).

Course curriculum

  1. 01
  2. 02

    • Lesson 5: Introduction to ArcGIS Desktop

      FREE PREVIEW

    • Lesson 6: Access and Display of Data in ArcGIS Desktop

    • Lesson 7: Find and Identify features, attributes and values

    • Lesson 8: Select features of vector files

    • Lesson 9: Zooming and Measuring features

    • Lesson 10: Compute Geometry

    • Lesson 11: Convert coordinates between reference systems

    • Lesson 12: Conclusions of Section
  3. 03

    • Lesson 13: Mosaicing raster data

    • Lesson 14: Band Math

    • Lesson 15: Re-classify raster data

    • Lesson 16: Compute Topographic Products using Digital Elevation Models

    • Lesson 17: Topography Computations on DEMs

    • Lesson 18: Clip Raster to Polygon

    • Lesson 19: Compute Zonal Statistics

    • Lesson 20: Extract values of raster from a point shape file

    • Lesson 21: Image georeferencing

    • Lesson 22: Section Conclusions
  4. 04

    • Lesson 23: Spatial Joins with Tabular data

      FREE PREVIEW

    • Lesson 24: Spatial Joins

    • Lesson 25: Choropleth Mapping

    • Lesson 26: Split vectors based on their attributes

    • Lesson 27: Clip vectors

    • Lesson 28: Intersect

    • Lesson 29: Buffer

    • Lesson 30: Merge shape files

    • Lesson 31: Dissolve

    • Lesson 32: Conclusions of Section
  5. 05

    • Lesson 33: Distance Computations on feature data

    • Lesson 34: Density Map Computation

    • Lesson 35: Computation of Line Density

    • Lesson 36: Interpolation of point data

    • Lesson 37: Spatial Cluster Mapping

    • Lesson 38: Geographically weighted regression

    • Lesson 39: Conclusions of Section
  6. 06

    • Lesson 40: Building a map

    • Lesson 41: Layer File

    • Lesson 42: Basemap

    • Lesson 43: Make a Map

    • Lesson 44: Conclusions of Section

What will you learn?

  • Have a thorough knowledge of the ArcGIS Interface and Functionality

  • Learn about the different toolboxes in ArcGIS and what they can do

  • Carry out practical spatial data analysis tasks, geo-processing and mapping using ArcGIS Desktop

  • Learn about advanced topics such as geostatistics and carry them out on actual data

  • Visualize and map spatial data

  • Show off your skills to employers by working with actual spatial data & presenting the outputs as maps

  • Start analyzing spatial data for your own projects in ArcGIS Desktop like a pro

Any Prerequisites?

  • Access to ArcGIS Desktop version 10 or above

  • License for the Spatial Analyst extension of ArcGIS version 10

Student Profile?

  • Under/post graduate students

  • Professionals and Companies

  • Master students and PhD candidates

  • Researchers and Academics

Some more information

  • Certificates of Completion

    After you successfully finish the course, you can claim your Certificate of Completion with NO extra cost! You can add it to your CV, LinkedIn profile etc

  • Available at any time! Study at your best time

    We know hard it is to acquire new skills. All our courses are self paced.

  • Online and always accessible

    Even when you finish the course and you get your certificate, you will still have access to course contents! Every time an Instructor makes an update you will be notified and be able to watch it for FREE

About your Instructor

I have completed a PhD in Forest Ecology and Conservation from the University of Cambridge, UK. In my PhD I used a combination of remote sensing data such as optical data, LiDAR, aerial imagery and radar data for quantifying the impact of forest cover change on carbon stocks and biodiversity in tropical Asia. I have worked extensively in different parts of tropical Asia- Malaysia, Laos, Cambodia and the Philippines. I used extensive statistical, machine learning and image processing techniques for my research and have an intermediate level proficiency in R and Python programming languages. I am also proficient in the use of GIS softwares like QGIS and ArcGIS and remote sensing tools like ENVI. I have several peer reviewed publications in well-regarded journals to my credit. Details of publications can be found here: https://www.researchgate.net/profile/Minerva_Singh In January 2017, I launched Minerva's Data Lab, an endeavor hat seeks to provide information, resources and training relating to machine learning, data science, spatial data analysis, geographic information system (GIS), remote sensing (Landsat, LiDAR, hyperspectral and radar data). I am available for 1-1 consulting, tutoring, training or general discussions about topics relating to R programming language, Python, Matlab, QGIS, ArcGIS and remote sensing tools such as IDRISI and ENVI.

Minerva Singh

Data Science and Spatial Data Analysis Expert