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". Onsite live Spatial Analysis trainings in Ireland 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
Testimonials
knew his subject well
Albert JACOB - Proximus
Course: Python Programming
The exercises combined with the experienced help of the trainer
Proximus
Course: Python Programming
The fact that we could practice a lot. Even though for me being a newbe the pace was to fast and explanation too few. However, probably due to the mixed knowkedge level of the students attending the class.
Proximus
Course: Python Programming
Good pace and knowledge demostrated by trainer. Exercises and examples were relevant for our line of work.
Tania Crespo - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
The DAX logic, very useful to know more about it
Illya Teideman - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
The exercises were great, really engaging and very hands on which allowed more of the information to be absorbed
Rajiv Pattar - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
Trainer obviously had a great holistic understanding of programming.
Crux Product Design
Course: Python Programming Fundamentals
I enjoyed the sentinal analysis/ data science aspect of the course.
Jake Hamilton - Scottish Government
Course: Python Programming
pace and explanations
Centric IT Solutions Lithuania
Course: Advanced Python
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
was really helpful and was willing to listen and provide what was needed. Provided card for questions to help once we use with our own data
shazad Yasin - Grafton Merchanting GB Ltd
Course: Creating Dashboards Using Microsoft Power BI
Costas covered all of the key areas of Power BI. He was very willing to spend additional time focusing on areas that were key to our business.
Dominic Harte - Grafton Merchanting GB Ltd
Course: Creating Dashboards Using Microsoft Power BI
As I was the only delegate on my course, the trainer was able to pace accordingly which meant we could cover more ground on each day.
KNOWLEDGEPOOL GROUP LIMITED
Course: Creating Dashboards Using Microsoft Power BI
The visualisation power BI is able to create with such ease!
Tom Darley - Grafton Merchanting GB Ltd
Course: Creating Dashboards Using Microsoft Power BI
The trainer was great! If he would have more time I think we could have learned a lot more.
Zarim Jei Serrano - Cloudstaff Philippines, Inc.
Course: Python Programming Fundamentals
Exercises
Vince Christian Henson - Cloudstaff Philippines, Inc.
Course: Python Programming Fundamentals
I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.
Jeán Thysse - Quidco
Course: Elasticsearch for Developers
Marcin knew exactly what he talking about and had proper hands on in-depth experience with the tools. He had answers to all our questions and made some really strong recommendations that we could start working towards with future projects and uses.
Conor Glasman - Quidco
Course: Elasticsearch for Developers
Doing the exercises. I really enjoyed the practicals.
Warren Stephen - Quidco
Course: Elasticsearch for Developers
It makes the trick. A good introduction (and more) to python.
jean-christophe GOLDBERG - Proximus
Course: Python Programming
Relaxed style. Help with the issues we were having with current setup.
Quidco
Course: Elasticsearch for Developers
The content relevnt and to the point
Qiniso Mdletshe - Quidco
Course: Elasticsearch for Developers
Trainer was very open minded about questions and tried to answer as many as possible.
Quidco
Course: Elasticsearch for Developers
The flexibilty and clear information
WAFEYA AlMadhoob - Tatweer Petroleum
Course: Advanced Python
I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.
Mattias Hansson - Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The trainer's openness to questions and willingness to help/answer/explain.
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The content.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Pictures
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Willingness of Krzysztof to answer all questions.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Live coding, helping with code and different bugs, explanation with examples
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Good interaction with audience, a lot of questions
Kinga Kalinowska - HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
The course has good proportion between theory and practice, knowledgeable trainer, a lot of training materials and user in practice.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
It covered many algorithms of ML and is useful to provide a track
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
It was cery consistent
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
All the exercises have been discussed
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Overall I liked course a lot. Good discussions. Sometimes to overall, but I understand that we were short of time.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
It covered systematically all the main topics of machine earning: both the theory and implementation. It gave me great background for further work. It also answered most of the questions about machine learning that I had up to this point.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Trainer develops training based on participant's pace
Farris Chua
Course: Python Programming Fundamentals
Trainer develops training based on participant's pace
Farris Chua
Course: Data Analysis in Python using Pandas and Numpy
The notebooks were well-prepared and the examples were on point.
Course: Python Programming Fundamentals
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
The hands on
Course: Python Programming Fundamentals
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Course: Excel For Statistical Data Analysis
Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.
Alan Gonzalez - Queens College, CUNY
Course: Excel For Statistical Data Analysis
all
Albert JACOB - Proximus
Course: Python Programming
Flask, dataclasses
Atos Global Delivery Center Polska Sp. Z o.o. Sp. K.,
Course: Advanced Python
R programming
Osden Jokonya - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
Practical exercises
JOEL CHIGADA - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
The notebooks were well-prepared and the examples were on point.
Course: Python Programming Fundamentals
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
The hands on
Course: Python Programming Fundamentals
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
Spatial Analysis Course Outlines in Ireland
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.
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.
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
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.
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.
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.
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.
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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