Spatial Data Visualization and Machine Learning in Python

What you'll learn
Data Visualization
Data Analysis
Data Transformation and Manipulation
Python and Bokeh
Geospatial Machine Learning
Geo Mapping
Python Programming
Creating Dashboards

Requirements
Basic Understanding of Python
Little or no understanding of GIS
Basic understanding of Programming concepts
Basic understanding of Data
Basic understanding of what Machine Learning is

Description
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

Who this course is for
Python Developers at any level
GIS Developers at any level
Developers at any level
Machine Learning engineers at any level
The curious mind

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