Practical QGIS For Spatial Data Analysis: Beginner to Expert

Practical QGIS For Spatial Data Analysis: Beginner to Expert, available at $99.99, has an average rating of 4.5, with 65 lectures, based on 329 reviews, and has 1882 subscribers.

You will learn about 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-QGIS Learn about the kind of questions that are answered through Geographic Information System (GIS) Analyze spatial data using QGIS Process raster and vector data in QGIS Start analyzing spatial data for your own projects using a powerful freeware tool-QGIS Learn how to harness the power of Google Earth Engine (GEE) Within QGIS This course is ideal for individuals who are Anybody who works/will work with spatial data and Geographic Information System (GIS) or Academics who work with GIS or Researchers working with GIS and spatial data It is particularly useful for Anybody who works/will work with spatial data and Geographic Information System (GIS) or Academics who work with GIS or Researchers working with GIS and spatial data.

Enroll now: Practical QGIS For Spatial Data Analysis: Beginner to Expert

Summary

Title: Practical QGIS For Spatial Data Analysis: Beginner to Expert

Price: $99.99

Average Rating: 4.5

Number of Lectures: 65

Number of Published Lectures: 64

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 64

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

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-QGIS
Learn about the kind of questions that are answered through Geographic Information System (GIS)
Analyze spatial data using QGIS
Process raster and vector data in QGIS
Start analyzing spatial data for your own projects using a powerful freeware tool-QGIS
Learn how to harness the power of Google Earth Engine (GEE) Within QGIS

Who Should Attend

Anybody who works/will work with spatial data and Geographic Information System (GIS)
Academics who work with GIS
Researchers working with GIS and spatial data

Target Audiences

Anybody who works/will work with spatial data and Geographic Information System (GIS)
Academics who work with GIS
Researchers working with GIS and spatial data

MASTER SPATIAL DATA ANALYSIS IN QGIS: HANDS-ON GEOGRAPHIC INFORMATION SYSTEM (GIS) TRAINING WITH REAL SPATIAL DATASETS

· Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical

· Are you looking for a course that takes you by hand, teaches you all the concepts, and get you started on working with actual spatial data?

· Or perhaps you want to save time and learn how to carry the most common GIS tasks?

I’m very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software framework, QGIS.

I’m Minerva Singh, and I’m an expert data scientist. I’ve graduated from 2 of the best universities in the world; MPhil from Oxford University (Geography and Environment), and a PhD holder in Computational Ecology from Cambridge University.

My course aims to help you become proficient in the use of QGIS and carrying out common GIS tasks on real-life data like me.

With this course, you’ll get familiar with all that’s required to move you from a basic level to carrying out some of the most important GIS analysis on real-life spatial data.

You’ll be introduced to some of the important GIS concepts and how they can be implemented on real-life data using QGIS. This includes working with both raster and shapefile data and carrying out important GIS tasks like deriving topographic products and spatial cluster mapping

That’s why this course is centred on training you on how to effectively implement the different spatial data analysis techniques on real-life data, including working with the Google Earth Engine (GEE) plugin and the powerful System for Automated Geoscientific Analyses (SAGA) processing toolbox.

Each video will teach you a practical GIS skill to implement on your own data.

If you take this course and it ever feels like a disappointment, feel free to ask for a refund within 30 days of your purchase, and you would get it at once.

Become an expert in Geographic Information Systems (GIS) using the freeware QGIS by taking up this course today!

#dataanalysis #spatialdata #GIS

Course Curriculum

Chapter 1: Welcome To The Course

Lecture 1: Introduction

Lecture 2: Data and Scripts

Lecture 3: Some Basic Spatial Data Concepts

Lecture 4: Install QGIS

Chapter 2: Getting Acquainted With the Interface of QGIS

Lecture 1: The Basic Layout

Lecture 2: Get friendly WIth QGIS

Lecture 3: The QGIS Menu Bar

Chapter 3: Working With Shapefiles

Lecture 1: Read in Different Kinds of Shapefiles

Lecture 2: Read in Point Data recorded in CSVs

Lecture 3: Explore Shapefile Attributes

Lecture 4: Calculate Geometric Attributes

Lecture 5: Calculate Shape/Geometric Attributes With SAGA

Lecture 6: Select Specific Features

Lecture 7: Fixing Invalid Geometries

Lecture 8: Splitting Shapefiles

Lecture 9: Merging Shapefiles

Lecture 10: Clipping Shapefiles

Lecture 11: More Clipping

Lecture 12: Intersecting Shapefiles

Lecture 13: Intersecting Shapefiles Using SAGA

Lecture 14: Join Attributes By Table

Lecture 15: Compute Centroids

Lecture 16: Create a Buffer

Lecture 17: Subtract Two Vectors

Lecture 18: Extract Polygon Attributes to Points

Lecture 19: Filtering Point Shapefiles

Lecture 20: Clip Points to the Extent of a Polygon

Chapter 4: Working With Rasters

Lecture 1: Categorical vs Continuous Rasters

Lecture 2: Raster Visualization

Lecture 3: Define Colour Scheme Categories

Lecture 4: Visualizing and Reclassifying Continuous Rasters

Lecture 5: Compute the Area in Each Category

Lecture 6: Compute the Proportion of Each Class

Lecture 7: Some Topographic Concepts

Lecture 8: Compute Topographic Attributes From Elevation Data

Lecture 9: More Topographic Attributes

Lecture 10: Merging Rasters

Lecture 11: Raster Calculator

Lecture 12: Changing Raster CRS

Lecture 13: Raster Normalisation With SAGA

Chapter 5: Work With Both Rasters and Shapefiles

Lecture 1: Zonal Histograms

Lecture 2: More Zonal Histograms

Lecture 3: Zonal Statistics

Lecture 4: Clip a Raster to the Extent of a Shapefile

Lecture 5: Clip a Raster to the Extent of a Shapefile With SAGA

Lecture 6: Extract Raster Values to Point Locations

Lecture 7: Create Points

Lecture 8: KDE Theory

Lecture 9: Kernel Density Estimate (KDE)-Part 1

Lecture 10: Interpolation

Lecture 11: GeoCoding

Chapter 6: Integrate QGIS With Google Earth Engine(GEE)

Lecture 1: What Is Google Earth Engine (GEE)?

Lecture 2: Sign Up For GEE

Lecture 3: Add the GEE Plug-In to QGIS

Lecture 4: Check If GEE Is Working?

Lecture 5: Obtain Country Outlines Via GEE

Lecture 6: Obtain DEM Via GEE

Lecture 7: Theory Behind Multispectral Optical Remote Sensing Data

Lecture 8: Introduction to Landsat Sensors

Lecture 9: How To Locate a Landsat Scene of Interest

Lecture 10: Obtaining Landsat Data via GEE in QGIS

Lecture 11: Obtaining Landsat Data Corresponding To Path and Row

Chapter 7: Connecting With R

Lecture 1: How To Connect R and QGIS

Lecture 2: Assign Legends in QGIS

Instructors

Minerva Singh
Bestselling Instructor & Data Scientist(Cambridge Uni)

Rating Distribution

1 stars: 5 votes
2 stars: 16 votes
3 stars: 41 votes
4 stars: 102 votes
5 stars: 165 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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