Introduction to Maps in Folium and Python
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Class hours
3h
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Duration
1 Year
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Online campus
Yes
The Introduction to Maps in Folium and Python is a concise, professional course designed to equip learners with the skills to visualise geographic data effectively using Python’s Folium library. Throughout the course, learners will explore how to create interactive maps, add markers, layers, and custom features, and integrate real-world data to generate insightful visualisations. This course emphasises practical applications, making it ideal for data analysts, GIS enthusiasts, and Python developers looking to enhance their programming toolkit.
By completing this course, learners will gain a solid understanding of geospatial mapping, learn to manipulate data for visual clarity, and acquire skills highly sought in sectors such as urban planning, logistics, environmental studies, and business analytics. The structured modules ensure learners progress from foundational concepts to advanced mapping techniques at a comfortable pace. With a focus on Python and Folium, this course provides the knowledge needed to transform raw geographic data into actionable insights, improving decision-making and analytical capabilities.
Whether your goal is professional development, career enhancement, or personal enrichment, this course offers a practical, accessible introduction to creating dynamic, interactive maps using Python.
Important information
Price for Emagister users:
About this course
Understand the fundamentals of geospatial data and mapping
Create interactive maps using Folium in Python
Add markers, pop-ups, and layers to visualisations
Manipulate and visualise real-world datasets effectively
Apply mapping skills to data analysis and reporting
Enhance Python programming proficiency with geospatial tools
Produce professional maps suitable for presentations or reports
This course is ideal for learners with an interest in data visualisation, geographic information systems (GIS), or Python programming. It is suitable for students, professionals, and hobbyists seeking to expand their skillset in mapping and data analysis. Career paths that can benefit include data analyst, GIS technician, business analyst, environmental researcher, urban planner, and Python developer.
The course is designed to be accessible to a broad audience, regardless of prior experience in programming or GIS. It provides a structured pathway to learning geospatial visualisation, making it perfect for those who want to develop practical, career-focused skills. Learners who complete this course will gain confidence in creating interactive maps that enhance reports, presentations, and professional portfolios.
No formal entry requirements are necessary to enrol in this course. It is suitable for learners aged 16 and above who have an interest in Python programming, data analysis, or geographic visualisation. A good command of English, basic numeracy skills, and familiarity with using a computer are recommended to ensure smooth learning. This course has been designed to be accessible to beginners while still providing value to learners with some prior experience in programming or GIS.
Upon successful completion of the Introduction to Maps in Folium and Python, you will qualify for a UK and internationally recognised professional certification. You may also choose to formalise your achievement by obtaining your PDF Certificate for £9 or a Hardcopy Certificate for £15.
This course is designed with flexibility in mind, allowing learners to study at their own pace and on their own schedule. The modules have been expertly crafted to provide clear, structured guidance from foundational concepts to more advanced mapping techniques. Practical outcomes focus on building skills that are directly applicable to careers in data analysis, GIS, and Python programming.
By completing this course, learners will acquire knowledge that enhances their CV and strengthens professional profiles. The combination of flexibility, expert-designed content, and career-oriented skills makes this course ideal for learners who want to develop valuable competencies in geospatial data visualisation while balancing other personal or professional commitments.
Yes. This course is designed to be accessible for beginners with no prior experience in Python or GIS. It starts with foundational concepts and gradually introduces more advanced mapping techniques. Learners with basic IT and numeracy skills can follow the course comfortably and gain a strong understanding of geospatial visualisation.
Completing this course equips learners with in-demand skills in data visualisation and geospatial analysis. These competencies are highly valued in roles such as data analyst, GIS technician, business analyst, and environmental researcher. The ability to create interactive maps using Python enhances employability and strengthens a professional portfolio.
The course is delivered entirely online and is self-paced, allowing learners to progress according to their schedule. Modules are structured to provide clear explanations, practical examples, and step-by-step instructions for creating interactive maps using Folium. Learners can revisit content as needed to reinforce understanding and consolidate skills.
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Programming
- Introduction
- Introduction to Scrum
- MAPS
- Folium
Teachers and trainers (1)
One Education
Course Provider
Course programme
Introduction to Maps in Folium and Python teaches how to create interactive, web-based maps using the Python library Folium. It covers plotting geographic data, adding markers, pop-ups, layers, and visualizing spatial information effectively. By combining Python programming with Folium, learners can build dynamic maps for data analysis, storytelling, and decision-making with real-world geographic insights.
Course Curriculum
- Section 01: Introduction
- Section 02: Creating your first folium map
- Section 03: Markers
- Section 04: Creating a Point Map
- Section 05: Creating a Choropleth Map
- Section 06: Measuring Boundaries
- Section 07: Creating Layers and BaseMaps
- Section 08: Creating a Heatmap
- Section 09: Sharing and Exporting our Maps
- Section 10: Project Source Code
Introduction to Maps in Folium and Python
