Step by Step Guide to becoming a Water Data Scientist
Week 1: Getting Started with Data Science
Where can data science be used in water and wastewater? Install Python and QGIS, learn basic programming functions and build a program for water data
Week 2: The Essential Approach - Setting Up the Problem and Data Acquisition
Choose the problem in the water sector that you would like to solve as your course project. Understand the steps involved in analyzing the problem and setting up the model. Identify the datasets to be used. Create a program in Python to access data from multiple sources including satellite data
Week 3: Starting The Analysis - A Standard Statistics Approach
Learn the steps in building the model. Perform a standard statistical analysis using Python
Weeks 4-5: Analyzing The Data in Time and Space
Understand the basics behind spatial and temporal data analysis, including map projections. Build basic models analyzing the data over time and space using Python and QGIS.
Weeks 6-8: Building Machine Learning Models
Learn the different types of machine learning algorithms and where they can be used in the water sector. Build common machine learning models using Python, including regression, clustering, random forest and others. Identify the most useful for your application.
Weeks 9-10: Data Visualization and Storytelling
Understand your audience and the story behind your data and results. Build beautiful visualizations in Python. Learn effective communication strategies.