Spatial Data Visualization and Machine Learning in Python

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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.

Imperial Academy offers this premium Spatial Data Visualization and Machine Learning in Python course to ensure security in your career. In addition, this comprehensive Spatial Data Visualization and Machine Learning in Python course will assist you in building relevant skills that will help you find a job in the related sectors. Also, the Certificate you’ll get after completing the Spatial Data Visualization and Machine Learning in Python will put your head and shoulder above others in front of potential employers.

Become the person who would attract the results you seek. What you plant now, you will harvest later. So, grab this opportunity and start learning Spatial Data Visualization and Machine Learning in Python!

Learn at your own pace from the comfort of your home, as the rich learning materials of this premium course is accessible from any place at any time. The advanced course curriculums are divided into tiny bite-sized audio-visual modules by industry specialists with years of experience behind them.

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

Certificate of Achievement

Learners will get an certificate of achievement directly at their doorstep after successfully completing the course!

It should also be noted that international students must pay £10 for shipping cost.

CPD Accredited Certification

Upon successfully completing the course, you will be qualified for CPD Accredited Certificate. Certification is available –

Course Info

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1 Enrolled
  • IT & Software
  • Personal Development
  • Technology
TAKE THIS COURSE
  • £30
  • 1 year
  • Number of Units21
  • Number of Quizzes0
  • 4 hours, 40 minutes

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