This course is intended for anyone working in the water sector, that has no or very limited experience with Python.
Python has become part of the toolbox of scientists and engineers, and has numerous applications in hydrology. By mastering Python, you are able to extend data analysis and modelling capabilities far beyond what is possible with spreadsheets, GIS platforms and other standard software.
In this 3-part course attendees will learn how to perform; data wrangling and multivariate exploratory data analysis, time series analysis and data visualisation. Each session is hosted by experts in their field, who delve in-depth into the key topic, explaining best practice techniques and approaches. Practical examples and demonstrations are analysed, allowing attendees to apply the knowledge gained and learn hands-on how to use Python- in order to save you time, money and integrate systems effectively.
Take sessions anytime, at your own pace with unlimited course access for 30-days. The course is also eligible for claiming CPD hours with Engineers Australia, under Type 2 of the guidelines available here. For internationals, further details can be found here.
Part 1 | Data wrangling and multivariate exploratory data analysis – Lead by Luk Peeters
1. Hydrochemistry data
2. Exploratory Data Analysis APY Lands groundwater dataset
3. Datacube: AWRA
Part 2 | Time series analysis – Lead by Chris Turnadge
1. Data pre-processing
2. Decomposing hydrograph data
3. Interpreting responses to time-lagged processes
4. Interpreting responses to periodic processes
Part 3 | Data visualisation – Lead by Vincent Post
1. Data visualisation and linking it with Google Earth
2. Visualisation of modelled flowpaths in 3D
3. Evaluation of pumping tests
You will learn the basics of Python and be provided an overview of its most important libraries. The course will give you the confidence to create basic programs to process hydrological data and calculations.