Spatial Analysis Training in Qatar

Spatial Analysis Training in Qatar

Local, instructor-led live Spatial Analysis (also known as Spatial Statistics, Spatial Analytics, Geospatial Analysis, Geospatial Analytics, Geo-Spatial Analysis, and Geo-Spatial Analytics) training courses demonstrate through interactive discussion and hands-on practice how such analysis employs software capable of rendering maps, processing spatial data, and applying analytical methods to terrestrial or geographic datasets, including the use of geographic information systems and geomatics.

Spatial Analysis training is available as "onsite live training" or "remote live training". Qatar onsite live Spatial Analysis trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Kempinsky Hotel
West Bay P.O. Box 32129
Doha 29922
Qatar
QA
Doha
Learn Spatial Analysis in our training center in Qatar. Marsa Malaz Kempinski is located at The Pearl-Qatar, the recognizable man-made island off the coast of Doha. The hotel is just a step away from numerous entertainment and dining options at Porto Arabia and Medina Centrale districts of The Pearl, and a 10-minute drive from the central business district of West Bay. The new Hamad International Airport is 29km/30 mins away. Nearby landmarks include the Katara Cultural Village, a cultural hub showcasing art exhibitions as well as offering... Read more

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Geo-Spatial Analytics Subcategories

Geospatial Analysis Course Events - Qatar

Spatial Analytics Course Outlines in Qatar

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Qatar (onsite or remote) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

By the end of this training, participants will be able to:

- Output spatial data as visualizations.
- Conduct geostatics on actual data.
- Implement spatial data analysis, data processing, and mapping with ArcGIS.
- Analyze spatial data for projects in ArcGIS.
14 hours
Overview
This instructor-led, live training in Qatar (onsite or remote) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes.

By the end of this training, participants will be able to:

- Build GIS applications using Python and ArcGIS tools.
- Develop with the ArcGIS package ArcPy, using Python.
- Apply the ArcGIS modules for map automation using object classes in Python.
14 hours
Overview
deck.gl is an open-source, WebGL-powered library for exploring and visualizing data assets at scale. Created by Uber, it is especially useful for gaining insights from geospatial data sources, such as data on maps.

This instructor-led, live training introduces the concepts and functionality behind deck.gl and walks participants through the set up of a demonstration project.

By the end of this training, participants will be able to:

- Take data from very large collections and turn it into compelling visual representations
- Visualize data collected from transportation and journey-related use cases, such as pick-up and drop-off experiences, network traffic, etc.
- Apply layering techniques to geospatial data to depict changes in data over time
- Integrate deck.gl with React (for Reactive programming) and Mapbox GL (for visualizations on Mapbox based maps).
- Understand and explore other use cases for deck.gl, including visualizing points collected from a 3D indoor scan, visualizing machine learning models in order to optimize their algorithms, etc.

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
Overview
This instructor-led, live training in Qatar (onsite or remote) is aimed at field ecologists and conservation managers who wish to post-process Pix4D drone data.

By the end of this training, participants will be able to:

- Implement Google Earth to enhance UAV mapping .
- Use outputs of images to generate reports.
- Post-process with GIS and CAD software for advanced drone data modeling.
14 hours
Overview
This instructor-led, live training in Qatar (onsite or remote) is aimed at field ecologists and conservation managers who wish to land survey and drone map with Pix4D.

By the end of this training, participants will be able to:

- Use end to end drone mapping processes and techniques.
- Achieve high surveying accuracy.
- Understand the fundamentals of global coordinate systems and GPS.
- Generate and analyze survey output with Pix4D's image processing software.
14 hours
Overview
Magellan is an open-source distributed execution engine for geospatial analytics on big data. Implemented on top of Apache Spark, it extends Spark SQL and provides a relational abstraction for geospatial analytics.

This instructor-led, live training introduces the concepts and approaches for implementing geospacial analytics and walks participants through the creation of a predictive analysis application using Magellan on Spark.

By the end of this training, participants will be able to:

- Efficiently query, parse and join geospatial datasets at scale
- Implement geospatial data in business intelligence and predictive analytics applications
- Use spatial context to extend the capabilities of mobile devices, sensors, logs, and wearables

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
21 hours
Overview
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.

This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
21 hours
Overview
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.
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