Spatial Data Visualization and Machine Learning in Python

Spatial Data Visualization and Machine Learning in Python


Learn how to use the plotting aspects and AI capabilities of the world’s benchmark programming language by taking this course on Spatial Data Visualisation and Machine Learning in Python. This intuitive training will empower you to take full advantage of the easily accessible syntax offered on this platform and the powerful possibilities that it provides with its libraries and continued popularity.         

This comprehensive Python tutorial provides an excellent way to learn these important and potentially ground-breaking aspects of IT technology. With expert guidance, you will be taught how to install Python and Bokeh quickly. From this point, you will soon learn how to plot data, create a range of data visualisations, build predictive models and datasets, construct a dashboard, create a dashboard server, and source unique project code.      

When you complete this training, you will be at the forefront of machine learning capabilities and find opportunities to be able to work on amazing AI projects.

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

Certificate of Achievement

Endorsed Certificate of Achievement from the Quality Licence Scheme

Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £89.00. Please note that overseas students may be charged an additional £10 for postage.

CPD Certificate of Achievement from One Education

Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.


This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an endorsed lesson. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.

Method of Assessment

To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support.

Why Study This Course

It doesn’t matter if you are an aspiring expert or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an acknowledged certificate attesting to your knowledge.

The Spatial Data Visualization and Machine Learning in Python is fully available to anyone, and no previous lessons are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Section 01: Introduction
Introduction 00:14:00
Section 02: Setup and Installations
Python Installation 00:03:00
Installing Bokeh 00:04:00
Section 03: Data Preparation
Data Preparation 00:24:00
Section 04: Data Visualization
Creating a Bar Chart 00:18:00
Creating a Line Chart 00:12:00
Creating a Doughnut Chart 00:22:00
Creating a Magnitude Plot 00:31:00
Creating a Geo Map Plot 00:20:00
Creating a Grid Plot 00:12:00
Section 05: Machine Learning
Data Pre-processing 00:21:00
Building a Predictive Model 00:21:00
Building a Prediction Dataset 00:07:00
Section 06: Building the Dashboard
Adding predicted data to our plots – Part 1 00:13:00
Adding predicted data to our plots – Part 2 00:14:00
Adding predicted data to our plots – Part 3 00:15:00
Adding the Grid Plot 00:08:00
Section 07: Creating the Dashboard Server
Installing Visual Studio Code 00:01:00
Creating the Project and Virtual Environment 00:08:00
Building and Running the Server 00:12:00
Section 08: Project Source Code
Resources 00:00:00
Assignment – Spatial Data Visualization and Machine Learning in Python 2 weeks, 1 day
Order Your Certificate
Order Your Certificate QLS 00:00:00

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