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Spatial Data Visualization and Machine Learning in Python

Learners: 120

Instructor: EBISYS R&D

Duration:

This 'Spatial Data Visualization and Machine Learning in Python' course is perfect for anyone looking to learn how to visualize spatial data in maps and charts, analyze data using jupyter notebook, manipulate, clean and transform data, use the Bokeh library, and learn machine learning with geospatial data. You will also learn basic geo mapping and how to create dashboards. With this course, you will be equipped with the knowledge to build a dashboard that you can use to analyze your data and plot its forecast results. Sign up now and start learning!▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2020-06-29

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This course introduces students to the fundamentals of spatial data visualization and machine learning in Python. Using the Bokeh library, students will learn how to create interactive plots and dashboards, as well as how to manipulate, clean, and transform data. Additionally, students will learn how to use Jupyter Notebook for data analysis, and how to create a lightweight server to serve their dashboard and make it accessible via a URL. Finally, students will learn how to use machine learning with geospatial data, and how to create basic geo maps. By the end of the course, students will have the knowledge and skills to build a spatial data analytics dashboard.