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Introduction to Maps in Folium and Python
( 6 Reviews )
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Introduction 00:08:00
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Creating your first folium map 00:09:00
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Creating and Styling Markers 00:22:00
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Classifying Markers 00:12:00
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Creating a Point Map 00:10:00
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Classifying Points 02:02:00
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Creating a Choropleth Map Part 1 00:15:00
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Creating a Choropleth Map Part 2 00:07:00
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Measuring Boundaries Part 1 00:12:00
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Measuring Boundaries Part 2 00:08:00
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Creating a Layer Control 00:10:00
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Creating a Heatmap 00:12:00
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Sharing and Exporting our Maps 00:23:00
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Assignment – Introduction to Maps in Folium and Python
Course Overview
Becoming proficient in the creation of dynamic and educational maps with Folium and Python is an essential skill in today’s data visualisation and analysis landscape.
Our “Introduction to Maps in Folium and Python” is a world recognised certification programme endorsed by QLS -The Quality Licence Scheme Awarding Body. This opens the global door for skilled people like you.
By providing a fundamental understanding of geospatial data representation, the Introduction to Maps in Folium and Python course empowers students to utilise interactive mapping for a wide range of applications. Presenting data in a spatial context improves the findings’ interpretability and communicative impact. The ability to incorporate geographical insights into data analyses is made possible by this course, which is a valuable tool in the field of information-driven decision-making.driven decision-making.
The course has been carefully designed to accommodate learners who are at an introductory and intermediate level. After reading through the extensive introduction, participants set out to learn the basics of making their very first Folium map. As the course progresses, students learn about fundamental concepts like utilising markers, making point and choropleth maps, measuring distances, and becoming proficient in layering and personalising base maps. The generation of heat maps is covered in the following section, which offers a more thorough explanation of the spatial distribution of data. In order to reinforce the skills they have learned, the course concludes with sections on sharing and exporting maps, as well as practical experience with project source code and an assignment.
Explore the possibilities of geospatial data representation by starting this educational journey. In the age of data-driven decision-making, enhance your professional image by using data to speak loudly in the language of maps. Accompany us on this voyage and map your Introduction to Maps in Python and Folium course to become an expert mapper in the ever-changing data science industry.
Key features
- E-learning and E-assessment system with flexibility.
- Learners get interactive resources.
- Expert advice from qualified professionals
- Globally recognised certificate.
- 14 days refund guarantee.
- 24/7 Tutor Support
Learning Outcome
By the end of this course, learners will not only be equipped with the technical proficiency to create captivating and insightful maps but will also gain a valuable skill set that enhances their capabilities in data analysis and visualisation
After the successful competition of the Introduction to Maps in Folium and Python course, learners are expected to:
- Get a firm foundation in the basics of using Folium and Python to create interactive map
- Utilise markers to draw attention to specific locations on maps efficiently to improve the information's presentation and aesthetic appeal
- Learn how to create point and choropleth maps to represent and analyse spatial data in a variety of ways
- Discover boundary measurement methods that will give a thorough grasp of the spatial dimensions of the data
- Gain expertise in layer creation and base map customization to modify the visual context of maps to meet particular analytical requirements
- Develop expertise by becoming proficient in sophisticated spatial analysis methods, understanding the distribution of spatial data, and learning how to make heatmaps
Course Details
Whether you’re a beginner, an enthusiast, or an experienced professional, this “Introduction to Maps in Folium and Python” course provides valuable skills for individuals keen on exploring the dynamic world of data visualisation through interactive maps. This is also suitable for the following professionals:
- Data Scientists and Analysts
- GIS Professionals
- Researchers
- Developers
- Students and Academics
- Business Analysts
- Urban Planners and Architects
- Environmental Scientists
- Government Professionals
- Section 01: Introduction
Introduction - Section 02: Creating your first folium map
Creating your first folium map - Section 03: Markers
Creating and Styling Markers
Classifying Markers - Section 04: Creating a Point Map
Creating a Point Map
Classifying Points - Section 05: Creating a Choropleth Map
Creating a Choropleth Map Part 1
Creating a Choropleth Map Part 2 - Section 06: Measuring Boundaries
Measuring Boundaries Part 1
Measuring Boundaries Part 2 - Section 07: Creating Layers and BaseMaps
Creating a Layer Control - Section 08: Creating a Heatmap
Creating a Heatmap - Section 09: Sharing and Exporting our Maps
Sharing and Exporting our Maps - Section 10: Project Source Code
Resource
Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the “Introduction to Maps in Folium and Python” certificate.
An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.
QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education. It is a non-accredited course.
Get access to the “Introduction to Maps in Folium and Python” course and explore industry opportunities such as the following:
- GIS Analysts. Salary Range: £25,000–£40,000 per year
- Data Scientist. Salary Range: £30,000 – £70,000 per year
- Urban Planner. Salary Range: £25,000–£45,000 per year
- Environmental Scientist. Salary Range: £25,000–£45,000 per year
- Web Developer (with GIS skills). Salary Range: £25,000–£50,000 per year
- Government Policy Analyst. Salary Range: £30,000–£50,000 per year
Course Reviews
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Course Info
Lessons : 15
Assignments : 1
Duration : 4 hours, 30 minutes
Access : 1 year
Enrol now, pay later in easy instalments(Interest free) with Clearpay.
