Advanced SQL
Analysing Data with Excel
Critical Thinking
Data Modelling with M and Power Query
Data Visualization with Python
Data Visualization with R
Excel Dashboards and Power Pivot
Introduction to Statistics
Machine Learning with Python
Machine Learning with R
Microsoft Power BI Boot Camp
Microsoft Power BI Desktop Advanced
Microsoft Power Query
Microsoft PowerBI Dashboard User Course
MySQL
MySQL Administration
PLSQL
PostgreSQL
PostgreSQL Administration
PostgreSQL for Business Intelligence and Mass-data-analysis
Problem Solving and Decision Making
Problem-Solving SAQA US242817
Python Dashboards with plotly Dash
Python Pandas and Jupyter ETL and Data wrangling
Python Regression
Python Statistical Modelling
Python Statistics
Python Web Apps with Flask MVC Framework
R, Into the Tidyverse (Data Wrangling and ETL)
Regression with R
SQL
Statistics with R
This GIS course enables participants to identify potentials of spatial data and to put them to use. Theoretical essentials in geoinformatics form the foundation, in order to gain a broad understanding of the subject matter. The second part brings import, visualisation and analysis of geodata, using OpenSource-tools, into focus. The used data will primarily come from OpenStreetMap
Theoretical essentials in geoinformatics form the foundation, in order to gain a broad understanding of the subject matter. The second part brings import, visualisation and analysis of geodata, using OpenSource-tools, into focus. The used data will primarily come from OpenStreetMap.
Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.
Delivery Method | Duration | Price (excl. VAT) | ||
---|---|---|---|---|
Classroom | 3 Days | ZAR 8,250.00 | Get a Quote | |
Live Virtual Training | 5 Days | ZAR 11,250.00 | Get a Quote |
This GIS course enables participants to identify potentials of spatial data and to put them to use.
This GIS course enables participants to identify potentials of spatial data and to put them to use.
Theoretical essentials in geoinformatics form the foundation, in order to gain a broad understanding of the subject matter. The second part brings import, visualisation and analysis of geodata, using OpenSource-tools, into focus. The used data will primarily come from OpenStreetMap.
Applications
What is spatial data and how can you use it?
Getting started with the world of geoinformatics and its applications
Spatial modelling
Spatial indexing
Spatial data should also be indexed, in order to ensure data quality and performance. Spatial indexing algorithms will be presented.
Spatial analysis
Which analyses can be made, and which questions can be answered by use of GIS?
GIS-tools
How is spatial data processed?
An overview of popular tools, focusing on OpenSource.
GIS-Services
What kind of spatial services do exist and are of special interest for companies?
Preparation
Setup PostgreSQL with PostGIS as a spatial database
Setup QGIS
Data acquisition
Downloading OSM-data for further processing
Data import
Import using QGIS, osm2pgsql, ogr2ogr, osmosis
Data visualisation
Simple visualisation with the help of QGIS
Data analysis
Data analysis with QGIS and PostGIS in comparison
Data export
Data transfer and -backup with GQIS and database-tools
There are currently no scheduled dates.
Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below, and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.
Should you need this course urgently, the following options are available: