Spatial Data Visualization and Machine Learning in Python

Building an Analytics Dashboard to Analyze and Predict Quakes using Bokeh and Python

Welcome to the 'Spatial Data Visualization and Machine Learning in Python' course.

In this course we will be building a spatial data analytics dashboard using bokeh and python.

Bokeh is a very powerful data visualization library that is used for building a wide range

of interactive plots and dashboards using the python programming language.

It also converts python code into html and JavaScript code, which allows plots to be

hosted on servers and displayed in web browsers.

We  be building a predictive model that we will use to do a further analysis, on our data

and plot it's forecast results alongside the dataset that we will be focusing on.

We will be visualizing our data in a variety of bokeh charts, which we will explore in depth.

Once we understand each plot in depth, we will be equipped with the knowledge to build a dashboard

that we will use to analyze our data.

And once we have built our dashboard, we will then create a lightweight server that we will use to

serve our dashboard and make it accessible via a URL.

• You will learn how to visualize spatial data in maps and charts

• You will learn data analysis using jupyter notebook

• You will learn how to manipulate, clean and transform data

• You will learn how to use the Bokeh library

• You will learn machine learning with geospatial data

• You will learn basic geo mapping

• You will learn how to create dashboards