Spatial Analysis Training Courses

Data Analysis Training

Spatial Analysis (also known as spatial statistics, spatial analytics, geospatial analysis, geospatial analytics, geo-spatial analysis, and geo-spatial analytics) refers to the application of statistical analysis and other analytic techniques to data which has a geographical or spatial aspect to it. Such analysis typically 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.

Course Outlines

Code Name Duration Overview
magellan Magellan: Geospatial Analytics on Spark 14 hours 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 Audience Application developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
deckgl deck.gl: Visualizing Large-scale Geospatial Data 14 hours 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
qgis QGIS for Geographic Information System 21 hours 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.
pygis Python for Geographic Information System (GIS) 21 hours 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.

Upcoming Courses

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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Automated Monitoring with Zabbix Classroom - BDA Complex, HSR Layout, Bangalore Sat, 2018-05-26 09:30 N/A / 107652INR
Automated Monitoring with Zabbix Classroom - Hosur Rd, Kormangla, Bangalore Sat, 2018-06-16 09:30 N/A / 116982INR
Understanding Deep Neural Networks Online Event Mon, 2018-06-18 09:30 253652INR / N/A
Statistical Thinking for Decision Makers Classroom - A.B. Road, Indore Wed, 2018-06-20 09:30 45657INR / 63657INR
Automated Monitoring with Zabbix Classroom - 5th Block, Kormangla, Bangalore Sat, 2018-06-23 09:30 N/A / 119982INR
Automated Monitoring with Zabbix Classroom T2 - Indiranagar, Bangalore Sat, 2018-06-23 09:30 N/A / 118982INR
Apache Solr - Full-Text Search Server Classroom - Kochi, Kerela Mon, 2018-06-25 09:30 91315INR / 116315INR
Complete Web Testing Environment with Selenium WebDriver and JMeter Classroom - Mohan Estate Metro Station, Delhi Mon, 2018-07-02 10:30 N/A / 254620INR
Complete Web Testing Environment with Selenium WebDriver and JMeter Classroom - Hosur Rd, Kormangla, Bangalore Mon, 2018-07-02 10:30 N/A / 249620INR
Automated Monitoring with Zabbix Classroom - Indiranagar, Bangalore Sat, 2018-07-07 09:30 N/A / 123982INR
Complete Web Testing Environment with Selenium WebDriver and JMeter Classroom - Hosur Rd, Kormangla, Bangalore Mon, 2018-07-30 10:30 N/A / 249620INR
Programming with Big Data in R Classroom - Pallav Puram, Meerut Mon, 2018-08-20 09:30 136972INR / 162972INR
Advanced Lua Classroom - Colombo Wed, 2018-08-22 09:30 91315INR / 120315INR
Automated Monitoring with Zabbix Classroom - UB City, Bangalore Sat, 2018-08-25 09:30 N/A / 145652INR
Automated Monitoring with Zabbix Classroom - Hosur Rd, Kormangla, Bangalore Sat, 2018-08-25 09:30 N/A / 124652INR
Automated Monitoring with Zabbix Classroom - Indiranagar, Bangalore Sat, 2018-09-08 09:30 N/A / 124652INR
Automated Monitoring with Zabbix Classroom - HSR Layout, Bangalore Sat, 2018-09-15 09:30 N/A / 127652INR

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