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.
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
- Video lessons
- Online study materials
Will I receive a certificate of completion?
Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.
Why study this course
It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.
The Spatial Data Visualization and Machine Learning in Python is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.
|Section 01: Introduction|
|Section 02: Setup and Installations|
|Section 03: Data Preparation|
|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|
|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|
|Assignment – Spatial Data Visualization and Machine Learning in Python||00:00:00|
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