Overview
This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast track your career ladder.
How will I get my certificate?
After successfully completing the course you will be able to order your certificate, these are included in the price.
Who is This course for?
There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds.
Requirements
Our Spatial Data Visualization and Machine Learning in Python Level 4 is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career Path
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.
Course Curriculum
- 9 sections
- 22 lectures
- 4 hours, 40 minutes total length
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Introduction 00:14:00
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Python Installation 00:03:00
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Installing Bokeh 00:04:00
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Data Preparation 00:24:00
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Creating a Bar Chart 00:18:00
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Creating a Line Chart 00:12:00
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Creating a Doughnut Chart 00:22:00
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Creating a Magnitude Plot 00:31:00
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Creating a Geo Map Plot 00:20:00
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Creating a Grid Plot 00:12:00
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Data Pre-processing 00:21:00
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Building a Predictive Model 00:21:00
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Building a Prediction Dataset 00:07:00
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Adding predicted data to our plots – Part 1 00:13:00
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Adding predicted data to our plots – Part 2 00:14:00
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Adding predicted data to our plots – Part 3 00:15:00
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Adding the Grid Plot 00:08:00
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Installing Visual Studio Code 00:01:00
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Creating the Project and Virtual Environment 00:08:00
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Building and Running the Server 00:12:00
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Resources
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Claim Your Certificate
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This course includes:
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Duration:4 hours, 40 minutes
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Access:Lifetime access
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Units:22
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Assignments:No
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Quizzes:No
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Certificate:Yes
