Spatial Data Visualization and Machine Learning in Python
Overview Grasp the science of Spatial Data Visualization and Machine Learning in Python and how it relates to launching a …
13 Students
Overview
Grasp the science of Spatial Data Visualization and Machine Learning in Python and how it relates to launching a lucrative career. Prepare for future Spatial Data Visualization and Machine Learning in Python needs by looking beyond the ongoing Spatial Data Visualization and Machine Learning in Python impact with Discover Training’s up-to-date Spatial Data Visualization and Machine Learning in Python course.
Discover Training’s Spatial Data Visualization and Machine Learning in Python course gives you a solid foundation in Spatial Data Visualization and Machine Learning in Python in many settings of human development. With industry expert interviews, you’ll gain a greater understanding of the Spatial Data Visualization and Machine Learning in Python‘s applications and limitations, as well as how it’s already been efficiently used in the field. Discover Training’s Spatial Data Visualization and Machine Learning in Python course will help you obtain facts and knowledge to strengthen your abilities on both standard Spatial Data Visualization and Machine Learning in Python techniques.
As you progress through the interactive modules of this online program, you will have a strong grasp of Spatial Data Visualization and Machine Learning in Python to identify new opportunities for innovation and drive digital growth within your organization. Enrol in the Spatial Data Visualization and Machine Learning in Python course today and leverage your knowledge tomorrow.
Description:
Industry professionals developed the content of this online Spatial Data Visualization and Machine Learning in Python course, combining their expertise and in-depth knowledge. The curriculum was developed by Discover Training to assist you in growing in your current role by providing you with the necessary information and concepts. As you progress through the modules of this course, you’ll learn the fundamentals of Spatial Data Visualization and Machine Learning in Python and explore the essential concepts.
Who is this course for?
This Spatial Data Visualization and Machine Learning in Python course is for you if you want to learn about the revolutionary potential of Spatial Data Visualization and Machine Learning in Python. Whether you are a newbie or a seasoned veteran, a grasp of the challenges that Spatial Data Visualization and Machine Learning in Python techniques can tackle would benefit anyone working in the Spatial Data Visualization and Machine Learning in Python sector. This Spatial Data Visualization and Machine Learning in Python training covers crucial subjects that will help you overcome challenges and improve your practices.
Requirements:
- Prerequisites: None
- Age Limit: 16+
- Gadgets: Smart devices and internet
Certification
Once the Spatial Data Visualization and Machine Learning in Python course is successfully completed, the learner can obtain the PDF certificate without any cost. The hardcopy version of the certificate is also available for only £9.99. However, anyone ordering the hardcopy certificate from outside the United Kingdom may need to pay an additional delivery charge.
Spatial Data Visualization and Machine Learning in Python Course Reviews
An outstanding online course with clear explanations and practical examples. I could study at my own pace and still feel fully supported throughout. It’s truly boosted my confidence and career prospects
The course was well-structured, engaging, and easy to follow. The flexibility made it perfect alongside my full-time job. I’ve gained valuable, real-world skills that I can apply immediately.
Excellent learning experience from start to finish. The content was professional, up-to-date, and highly relevant. I would highly recommend it to anyone looking to upskill online.
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 | ||
Frequently Asked Questions
Yes, Discover Training provides accredited and CPD-certified courses, ensuring learners receive recognised qualifications that support career progression and professional compliance.
Anyone can enrol, including students, professionals, job seekers, career changers, and organisations. Most courses do not require previous experience, making them accessible to learners at all levels.
Discover Training offers courses across multiple sectors, including business, health and safety, compliance, leadership, IT, personal development, and professional skills training.
You will have 14 days to revoke your Course purchase from your purchase date. Regrettably, refunds are not allowed after your purchase have been approved, and materials have been posted to the student’s dashboard or accessed.
Yes, learners receive a downloadable digital certificate upon successful completion, suitable for CPD records, CVs, and professional portfolios.
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Number of Units:
21 -
Access:
1 Year -
Duration:
4 hours, 40 minutes -
PDF Certificate
Included
