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Ahmad Varasteh
In this project, we are going to learn how to process and analyze geospatial data. we are going to work with a dataset containing information about almost 100 taxis running in Proto, Portugal. We are going to learn how to prepare our data and how to use different geospatial visualization techniques in order to answer some analytical questions. during this project, we will learn how to work with the Folium module in python which is one of the best tools when it comes to geospatial data visualization.
Register for this course and see more details by visiting:
OpenCourser.com/course/px5bwk/geospatial
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What's inside
Syllabus
Project Overview
In this project, we are going to learn how to process and analyze geospatial data. we are going to work with a dataset containing information about almost 100 taxis running in Proto, Portugal. We are going to learn how to prepare our data and how to use different geospatial visualization techniques in order to answer some analytical questions.
during this project, we will learn how to work with the Folium module in python which is one of the best tools when it comes to geospatial data visualization.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops geospatial data processing and analysis skills, which are core to a variety of industries such as urban planning, environmental science, and transportation
Taught by Ahmad Varasteh, who is recognized for their work in geospatial data visualization
Leverages the Folium module in Python, which is a popular tool for geospatial data visualization
Focuses on a practical, hands-on approach to geospatial data analysis using a real-world dataset
Assumes some prior knowledge of Python and basic data analysis techniques, making it suitable for intermediate learners
Save this course
Save Geospatial Data Visualization using Python and Folium to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Geospatial Data Visualization using Python and Folium with these
activities:
Review previous coursework or materials on geospatial concepts
Show steps
Revisit past learning experiences to refresh your knowledge of geospatial concepts and prepare for the upcoming course content.
Browse courses on
Spatial Data Science
Show steps
-
Go over notes, assignments, and quizzes from previous courses or self-study materials.
-
Identify areas where you need additional review and focus on reinforcing those concepts.
Identify mentors or experts in geospatial data analysis
Show steps
Seek guidance from experienced professionals in the field to gain valuable insights, expand your network, and enhance your learning journey.
Show steps
-
Attend industry events or conferences to connect with potential mentors.
-
Reach out to professionals in your network who have expertise in geospatial data analysis.
-
Prepare questions and seek advice on your career path and learning goals.
-
Follow up regularly and maintain a professional relationship with your mentors.
Review basic geospatial concepts
Show steps
Review the fundamental principles of geospatial data processing and analysis to build a strong foundation for the upcoming projects.
Browse courses on
Spatial Data Science
Show steps
-
Revisit definitions and concepts of geospatial data, such as spatial reference systems, coordinate systems, and data formats.
-
Refresh your knowledge of common geospatial data operations, including data projection, transformation, and analysis.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow online tutorials on geospatial data processing
Show steps
Explore additional resources and guidance by watching and following video tutorials that cover specific geospatial data processing techniques.
Show steps
-
Identify reputable sources for geospatial data processing tutorials.
-
Select tutorials that align with your learning objectives and skill level.
-
Follow the tutorials step-by-step, taking notes and experimenting with the techniques.
Participate in online study groups or discussion forums
Show steps
Engage with fellow learners and experts in online communities to exchange knowledge, ask questions, and support each other's learning.
Show steps
-
Join online forums or study groups dedicated to geospatial data analysis.
-
Contribute to discussions, share your insights, and ask for help when needed.
Work through example geospatial data analysis problems
Show steps
Engage in hands-on exercises to practice applying geospatial analysis techniques and solidify your understanding of the concepts.
Show steps
-
Solve problems involving data cleaning, manipulation, and visualization of geospatial datasets.
-
Analyze geospatial data to identify patterns, trends, and relationships.
Develop a geospatial data visualization dashboard
Show steps
Create an interactive dashboard to visualize and explore geospatial data, demonstrating proficiency in data visualization and analysis.
Show steps
-
Design the dashboard layout and select appropriate visualizations for the data.
-
Implement the dashboard using a suitable geospatial visualization library.
-
Publish the dashboard and share it with others.
Review previous coursework or materials on geospatial concepts
Show steps
Revisit past learning experiences to refresh your knowledge of geospatial concepts and prepare for the upcoming course content.
Browse courses on
Spatial Data Science
Show steps
Show steps
Show steps
- Go over notes, assignments, and quizzes from previous courses or self-study materials.
- Identify areas where you need additional review and focus on reinforcing those concepts.
Identify mentors or experts in geospatial data analysis
Show steps
Seek guidance from experienced professionals in the field to gain valuable insights, expand your network, and enhance your learning journey.
Show steps
Show steps
Show steps
- Attend industry events or conferences to connect with potential mentors.
- Reach out to professionals in your network who have expertise in geospatial data analysis.
- Prepare questions and seek advice on your career path and learning goals.
- Follow up regularly and maintain a professional relationship with your mentors.
Review basic geospatial concepts
Show steps
Review the fundamental principles of geospatial data processing and analysis to build a strong foundation for the upcoming projects.
Browse courses on
Spatial Data Science
Show steps
Show steps
Show steps
- Revisit definitions and concepts of geospatial data, such as spatial reference systems, coordinate systems, and data formats.
- Refresh your knowledge of common geospatial data operations, including data projection, transformation, and analysis.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow online tutorials on geospatial data processing
Show steps
Explore additional resources and guidance by watching and following video tutorials that cover specific geospatial data processing techniques.
Show steps
Show steps
Show steps
- Identify reputable sources for geospatial data processing tutorials.
- Select tutorials that align with your learning objectives and skill level.
- Follow the tutorials step-by-step, taking notes and experimenting with the techniques.
Participate in online study groups or discussion forums
Show steps
Engage with fellow learners and experts in online communities to exchange knowledge, ask questions, and support each other's learning.
Show steps
Show steps
Show steps
- Join online forums or study groups dedicated to geospatial data analysis.
- Contribute to discussions, share your insights, and ask for help when needed.
Work through example geospatial data analysis problems
Show steps
Engage in hands-on exercises to practice applying geospatial analysis techniques and solidify your understanding of the concepts.
Show steps
Show steps
Show steps
- Solve problems involving data cleaning, manipulation, and visualization of geospatial datasets.
- Analyze geospatial data to identify patterns, trends, and relationships.
Develop a geospatial data visualization dashboard
Show steps
Create an interactive dashboard to visualize and explore geospatial data, demonstrating proficiency in data visualization and analysis.
Show steps
Show steps
Show steps
- Design the dashboard layout and select appropriate visualizations for the data.
- Implement the dashboard using a suitable geospatial visualization library.
- Publish the dashboard and share it with others.
Career center
Learners who complete Geospatial Data Visualization using Python and Folium will develop knowledge and skills
that may be useful to these careers:
Geospatial Data Scientist
Geospatial Data Scientist
A Geospatial Data Scientist specializes in collecting, analyzing, and visualizing geospatial data to extract valuable insights and solve real-world problems. This course in Geospatial Data Visualization using Python and Folium provides learners with the fundamental skills and tools to process, analyze, and visualize geospatial data, which is a critical part of a Geospatial Data Scientist's toolkit. By mastering the techniques taught in this course, learners can enhance their ability to identify trends and patterns in geospatial data, develop effective visualizations, and communicate their findings effectively.
GIS Analyst
GIS Analyst
A GIS Analyst uses geographic information systems (GIS) to analyze and visualize geospatial data, supporting decision-making in various fields such as urban planning, environmental management, and business intelligence. The course in Geospatial Data Visualization using Python and Folium equips learners with the necessary skills to work with geospatial data, create interactive maps, and derive insights from spatial relationships. By gaining proficiency in these techniques, learners can excel as GIS Analysts and contribute to data-driven decision-making processes.
Data Analyst
Data Analyst
A Data Analyst plays a crucial role in analyzing large datasets to uncover patterns and trends, providing valuable insights for decision-making. The course in Geospatial Data Visualization using Python and Folium introduces learners to the techniques of geospatial data analysis, enabling them to extract meaningful information from spatial data. This expanded skill set enhances a Data Analyst's ability to handle complex datasets and derive insights that consider geographic factors, making them more competitive in the job market.
Urban Planner
Urban Planner
An Urban Planner designs and manages the physical development of cities and towns, ensuring sustainable and livable urban environments. The course in Geospatial Data Visualization using Python and Folium provides Urban Planners with the skills to analyze and visualize geospatial data, such as land use patterns, population density, and transportation networks. By mastering these techniques, Urban Planners can make informed decisions based on data-driven insights, improving the quality of life in urban areas.
Environmental Scientist
Environmental Scientist
An Environmental Scientist studies the environment and its components, working to protect and preserve natural resources. The course in Geospatial Data Visualization using Python and Folium equips Environmental Scientists with the ability to analyze and visualize geospatial data related to environmental phenomena, such as pollution levels, climate patterns, and habitat distribution. These skills enable them to identify environmental risks, develop mitigation strategies, and communicate their findings effectively.
Cartographer
Cartographer
A Cartographer creates and interprets maps, using their knowledge of geography and design principles. The course in Geospatial Data Visualization using Python and Folium provides Cartographers with the skills to visualize geospatial data effectively, creating clear and informative maps. By mastering these techniques, Cartographers can enhance their ability to communicate spatial relationships and contribute to decision-making processes.
Geographer
Geographer
A Geographer studies the Earth's physical and human features, focusing on the relationships between people and their environment. The course in Geospatial Data Visualization using Python and Folium introduces Geographers to the techniques of geospatial data analysis and visualization, enabling them to explore spatial patterns and relationships. By gaining proficiency in these techniques, Geographers can enhance their understanding of the Earth's systems and contribute to a deeper understanding of the human-environment interactions.
Market Research Analyst
Market Research Analyst
A Market Research Analyst conducts research to understand consumer behavior and market trends, providing insights for businesses to make informed decisions. The course in Geospatial Data Visualization using Python and Folium introduces Market Research Analysts to the techniques of analyzing and visualizing geospatial data, such as customer demographics, store locations, and competitive landscapes. This expanded skill set enables them to gain a deeper understanding of market dynamics and make more effective recommendations.
Business Analyst
Business Analyst
A Business Analyst identifies and analyzes business needs and develops solutions to improve efficiency and profitability. The course in Geospatial Data Visualization using Python and Folium provides Business Analysts with the skills to analyze and visualize geospatial data, such as customer locations, supply chains, and market trends. By mastering these techniques, Business Analysts can gain a deeper understanding of business operations and make more informed decisions.
Transportation Planner
Transportation Planner
A Transportation Planner designs and manages transportation systems, ensuring efficient and accessible movement of people and goods. The course in Geospatial Data Visualization using Python and Folium equips Transportation Planners with the skills to analyze and visualize geospatial data related to traffic patterns, public transportation routes, and infrastructure development. By mastering these techniques, Transportation Planners can make data-driven decisions to improve transportation systems and enhance mobility.
Epidemiologist
Epidemiologist
An Epidemiologist investigates the causes and patterns of diseases, working to prevent and control their spread. The course in Geospatial Data Visualization using Python and Folium provides Epidemiologists with the skills to analyze and visualize geospatial data related to disease outbreaks, population health, and environmental factors. By mastering these techniques, Epidemiologists can identify high-risk areas, track disease transmission, and develop targeted interventions to protect public health.
Real Estate Analyst
Real Estate Analyst
A Real Estate Analyst analyzes market trends and property data to provide insights for investment decisions. The course in Geospatial Data Visualization using Python and Folium introduces Real Estate Analysts to the techniques of analyzing and visualizing geospatial data, such as property values, zoning regulations, and neighborhood characteristics. This expanded skill set enables them to gain a deeper understanding of market dynamics and make more informed investment decisions.
Insurance Underwriter
Insurance Underwriter
An Insurance Underwriter assesses risk and determines insurance premiums. The course in Geospatial Data Visualization using Python and Folium provides Insurance Underwriters with the skills to analyze and visualize geospatial data related to property locations, crime rates, and natural hazards. By mastering these techniques, Insurance Underwriters can make more informed decisions about risk assessment and pricing.
Risk Analyst
Risk Analyst
A Risk Analyst identifies and assesses risks to organizations, developing strategies to mitigate their impact. The course in Geospatial Data Visualization using Python and Folium provides Risk Analysts with the skills to analyze and visualize geospatial data related to natural disasters, supply chain disruptions, and geopolitical events. By mastering these techniques, Risk Analysts can gain a deeper understanding of risk factors and make more informed decisions to protect their organizations.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects, ensuring their successful completion. The course in Geospatial Data Visualization using Python and Folium may be of interest to Project Managers who work on projects involving geospatial data, such as infrastructure development or environmental conservation. By gaining proficiency in these techniques, Project Managers can enhance their ability to manage geospatial data-related aspects of their projects and communicate their findings effectively.
For more career information including salaries, visit:
OpenCourser.com/course/px5bwk/geospatial
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Geospatial Data Visualization using Python and Folium.
Provides a comprehensive overview of geospatial analysis using Python. It covers topics such as data acquisition, data processing, and data visualization. This book valuable resource for anyone interested in using Python for geospatial analysis.
A practical guide to using geospatial analysis for business intelligence. Covers techniques for extracting insights from geospatial data and using them to inform decision-making. Provides valuable insights into the practical applications of geospatial data.
Provides a comprehensive overview of web mapping with R. It covers topics such as data acquisition, data processing, and data visualization. This book valuable resource for anyone interested in using R for web mapping.
Provides a comprehensive overview of visualizing geospatial data. It covers topics such as data acquisition, data processing, and data visualization. This book valuable resource for anyone interested in visualizing geospatial data.
Provides a practical approach to geospatial analysis using ArcGIS and Python. It covers a range of techniques, including data preparation, spatial analysis, and visualization, offering a valuable resource for those looking to apply geospatial analysis in their work.
Provides a comprehensive overview of geospatial analysis with R. It covers topics such as data acquisition, data processing, and data visualization. This book valuable resource for anyone interested in using R for geospatial analysis.
Save
Provides a comprehensive overview of data visualization with ggplot2. It covers topics such as data acquisition, data processing, and data visualization. This book valuable resource for anyone interested in using ggplot2 for data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/px5bwk/geospatial
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
Develops geospatial data processing and analysis skills, which are core to a variety of industries such as urban planning, environmental science, and transportation
Taught by Ahmad Varasteh, who is recognized for their work in geospatial data visualization
Leverages the Folium module in Python, which is a popular tool for geospatial data visualization
Focuses on a practical, hands-on approach to geospatial data analysis using a real-world dataset
Assumes some prior knowledge of Python and basic data analysis techniques, making it suitable for intermediate learners
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