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Course Overview
Learn how to make a genuine difference in your life by taking our popular Spatial Data Visualization and Machine Learning in Python. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of Spatial Data Visualization and Machine Learning in Python to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that Spatial Data Visualization and Machine Learning in Python provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
Learning Outcomes
Your Path to Success
By completing the training in Spatial Data Visualization and Machine Learning in Python, you will be able to significantly demonstrate your acquired abilities and knowledge of Spatial Data Visualization and Machine Learning in Python. This can give you an advantage in career progression, job applications, and personal mastery in this area.
Is This Course Right for You?
This course is designed to provide an introduction to Spatial Data Visualization and Machine Learning in Python and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Assessment Process
Once you have completed all the modules in the Spatial Data Visualization and Machine Learning in Python course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this Spatial Data Visualization and Machine Learning in Python course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
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 | |||
Assignment – Spatial Data Visualization and Machine Learning in Python | 2 weeks, 1 day |
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