Platform for starters in the geo sector

200 courses, 20 online supports, 60 moocs,

10 work to work trajectories,

30 trainees

MOOC: Spatial Data Visualization and Machine Learning in Python

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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 to the plots to be hosted on servers and displayed in web browsers. We will also be building a predictive model that we will use to do a further analysis, on our data and plot it's forecasted 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. And 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 server our dashboard and make it accessible via a url.

What will you learn?

  • How to visualize spatial data in maps and charts
  • Data analysis using jupyter notebook
  • How to manipulate, clean and transform data
  • How to use the Bokeh library
  • Learn machine learning with geospatial data
  • Learn basic geo mapping
  • Learn how to create dashbaords

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