Spatial Analysis Training Courses

Spatial Analysis Training Courses

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". Macao 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.

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Geospatial Analytics Subcategories

Geo-Spatial Analytics Course Outlines

CodeNameDurationOverview
magellanMagellan: Geospatial Analytics on Spark14 hoursMagellan 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

Audience

- Application developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
deckgldeck.gl: Visualizing Large-scale Geospatial Data14 hoursdeck.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
pygisPython for Geographic Information System (GIS)21 hoursA 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.
qgisQGIS for Geographic Information System21 hoursA 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.

Upcoming Geo-Spatial Analytics Courses

CourseCourse DateCourse Price [Remote / Classroom]
deck.gl: Visualizing Large-scale Geospatial Data - M3 Integrated - NobleProg MacaoWed, 2019-04-03 09:30MOP$21458 / MOP$34899
deck.gl: Visualizing Large-scale Geospatial Data - M3 Integrated - NobleProg MacaoMon, 2019-04-29 09:30MOP$21458 / MOP$34899
deck.gl: Visualizing Large-scale Geospatial Data - M3 Integrated - NobleProg MacaoMon, 2019-06-10 09:30MOP$21458 / MOP$34899
deck.gl: Visualizing Large-scale Geospatial Data - M3 Integrated - NobleProg MacaoTue, 2019-06-18 09:30MOP$21458 / MOP$34899
deck.gl: Visualizing Large-scale Geospatial Data - M3 Integrated - NobleProg MacaoWed, 2019-06-19 09:30MOP$21458 / MOP$34899
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Course Discounts

CourseVenueCourse DateCourse Price [Remote / Classroom]
Deep Learning for Finance (with Python)M3 Integrated - NobleProg MacaoMon, 2019-04-01 09:30MOP$55123 / MOP$73764
DeepLearning4J for Image RecognitionM3 Integrated - NobleProg MacaoWed, 2019-04-10 09:30MOP$41342 / MOP$57383
Machine Learning Concepts for Entrepreneurs and ManagersM3 Integrated - NobleProg MacaoTue, 2019-04-23 09:30MOP$41342 / MOP$57383
Machine Learning – Data scienceM3 Integrated - NobleProg MacaoMon, 2019-05-20 09:30MOP$41342 / MOP$57383
Machine Learning for Banking (with R)M3 Integrated - NobleProg MacaoTue, 2019-06-11 09:30MOP$55123 / MOP$73764

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