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Spatial Data Visualization and Machine Learning in Python
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Register on the Spatial Data Visualization and Machine Learning in Python today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job.
Register on the Spatial Data Visualization and Machine Learning in Python today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.
The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.
Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion.
The Spatial Data Visualization and Machine Learning in Python is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.
The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!
What You Get With The Spatial Data Visualization and Machine Learning in Python
- Receive a e-certificate upon successful completion of the course
- Get taught by experienced, professional instructors
- Study at a time and pace that suits your learning style
- Get instant feedback on assessments
- 24/7 help and advice via email or live chat
- Get full tutor support on weekdays (Monday to Friday)
Course Design
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
Certification
Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.
Who Is This Course For:
The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.
Requirements:
The online training is open to all students and has no formal entry requirements. To study the Spatial Data Visualization and Machine Learning in Python, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.
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 | ||
| 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 | |||
| Project Source Code | 00:00:00 | ||
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Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.
If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.