Introduction to Maps in R Shiny and Leaflet

Welcome to our event: Introduction to Maps in R Shiny and Leaflet!

Are you interested in learning how to create interactive maps using R Shiny and Leaflet? Join us for this online session where we will guide you through the process of building visually appealing and informative maps for your projects. Whether you are a beginner or have some experience with R, this event is perfect for anyone looking to enhance their data visualization skills. Don't miss out on this opportunity to level up your mapping game!

Event Details:

• Date: [Insert Date]
• Time: [Insert Time]
• Location: Online

Dive into the fascinating world of spatial data visualization with our comprehensive course, “Introduction to Maps in R Shiny and Leaflet.” This course is meticulously designed to guide you through the essentials of creating interactive maps using the powerful combination of R Shiny and Leaflet. From setting up your development environment to crafting dynamic maps that visualize earthquake data, this course covers it all. You’ll learn to transform raw data into insightful visual representations, making complex information easily understandable and engaging. Whether you’re a data enthusiast, a researcher, or someone looking to expand your data visualization skills, “Introduction to Maps in R Shiny and Leaflet” offers the perfect blend of theory and application to get you started. Join us on this educational journey and unlock the potential of mapping with R Shiny and Leaflet!

Learning Outcomes

1. Understand the basics of R Shiny and Leaflet.
2. Install and set up the necessary tools and libraries.
3. Create various types of interactive maps.
4. Visualize earthquake data using different map styles.
5. Develop skills in creating heatmaps and choropleth maps.
6. Gain proficiency in data visualization techniques.

Why buy this Introduction to Maps in R Shiny and Leaflet course?

1. Unlimited access to the course for forever
2. Digital Certificate, Transcript, student ID all included in the price
3. Absolutely no hidden fees
4. Directly receive CPD accredited qualifications after course completion
5. Receive one to one assistance on every weekday from professionals
6. Immediately receive the PDF certificate after passing
7. Receive the original copies of your certificate and transcript on the next working day
8. Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Introduction to Maps in R Shiny and Leaflet there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.

Who is this Introduction to Maps in R Shiny and Leaflet course for?

1. Data scientists eager to enhance their visualization capabilities.
2. Researchers needing to present geographic data effectively.
3. Students in data science or geography courses.
4. Professionals looking to incorporate mapping into their analyses.
5. Hobbyists interested in learning about interactive map creation.
6. Anyone curious about spatial data visualization with R Shiny and Leaflet.

Prerequisites

This Introduction to Maps in R Shiny and Leaflet does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Introduction to Maps in R Shiny and Leaflet was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

• Data Analyst: £25,000 to £45,000 per year
• Geospatial Analyst: £30,000 to £50,000 per year
• Data Scientist: £40,000 to £70,000 per year
• GIS Developer: £35,000 to £60,000 per year
• R Shiny Developer: £40,000 to £65,000 per year
• Mapping Specialist: £28,000 to £48,000 per year

Disclaimer:
This is an online course consisting of pre-recorded sessions. Access to the course will be granted within 24 hours of enrolment.