Geospatial Data Science with Python: Data Visualization from Udemy

Pandas and GeoPandas within a Jupyter Notebook environment provide a powerful alternative to traditional desktop GIS methods for geospatial analysis. The ability to incorporate visualizations of both tabular data and geospatial data from within your analysis workflow is one of the big advantages of this approach.

This course provides detail on how to create beautiful tabular and geospatial visualizations using Matplotlib, Pandas, GeoPandas, Rasterio, Contextily, Seaborn, Plotly, Bokeh and other Python packages within a Jupyter Notebook environment.

We start with Matplotlib because it is the core upon which all of the other static plotting methods are based. Pandas, GeoPandas, Rasterio, Contextily, and Seaborn all produce Matplotlib objects as output. If you understand Matplotlib you can use that knowledge to modify the lots put out by any of these other packages. You can control the labels and titles, place annotation on the maps, include ticks and gridlines, place legends, set the x and y limits and more. And you can control every detail of those outputs, even when the higher level plotting API's make it easy to produce the base output with a single line of code.

Plotly and Bokeh produce dynamic output that is based on JavaScript and are able to respond to mouse movements, clicks, etc.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches skills and knowledge that are useful for personal growth and development

Develops skills, knowledge, and tools that are core skills for geospatial data analysis

Incorporates visualizations of tabular data and geospatial data, which is an advantage for geospatial analysis

Provides a detailed understanding of how to create beautiful tabular and geospatial visualizations

Utilizes libraries like Matplotlib, Pandas, GeoPandas, Rasterio, Contextily, and Seaborn for data visualization

Requires students to have a basic understanding of Matplotlib since it forms the core of other plotting methods

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 Science with Python: Data Visualization with these activities:

Find a mentor who is experienced in GIS

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A mentor can provide you with guidance and support as you learn about GIS.

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Identify potential mentors.
Reach out to potential mentors and ask for their guidance.

Attend a local GIS meetup

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This meetup will provide you with an opportunity to connect with other GIS professionals.

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Find a local GIS meetup.
Attend the meetup.

Review Data Analysis with Python

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This book will help you build a solid understanding of data analysis using Python.

View Python for Data Analysis on Amazon

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Read the first three chapters of the book.
Complete the exercises in the first three chapters.

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Practice Matplotlib exercises

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These exercises will help you improve your proficiency in using Matplotlib.

Browse courses on Matplotlib

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Complete the Matplotlib tutorial.
Create a scatter plot of the data in the provided CSV file.
Create a bar chart of the data in the provided CSV file.

Follow the Plotly tutorial

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This tutorial will help you learn how to use Plotly to create interactive visualizations.

Browse courses on Plotly

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Complete the Plotly tutorial.
Create an interactive visualization of the data in the provided CSV file.

Attend a GeoPandas workshop

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This workshop will provide you with an in-depth understanding of GeoPandas.

Browse courses on GeoPandas

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Find a GeoPandas workshop.
Attend the workshop.

Create a tutorial on how to use GeoPandas

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This tutorial will help you solidify your understanding of GeoPandas.

Browse courses on GeoPandas

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Write an outline for your tutorial.
Create a Jupyter Notebook that demonstrates how to use GeoPandas.
Publish your tutorial on a platform like Medium or GitHub.

Create a GIS portfolio

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This portfolio will showcase your skills and knowledge of GIS.

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Gather your best GIS work.
Create a website or online portfolio to showcase your work.

Career center

Learners who complete Geospatial Data Science with Python: Data Visualization will develop knowledge and skills that may be useful to these careers:

GIS Analyst

GIS Analysts use geographic information systems (GIS) to analyze and visualize spatial data. They use a variety of software tools to create maps, charts, and other visual representations of data that can be used to support decision-making. This course can help you develop the skills you need to become a successful GIS Analyst by providing you with a strong foundation in Python, Pandas, GeoPandas, and other essential geospatial data science tools.

See salaries and explore the career path for GIS Analyst

Data Scientist

Data Scientists use a variety of statistical and machine learning techniques to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to become a successful Data Scientist by providing you with a strong foundation in Python, Pandas, and other essential data science tools.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use data to solve business problems. They use a variety of statistical and data visualization techniques to analyze data and communicate their findings to stakeholders. This course can help you develop the skills you need to become a successful Data Analyst by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Data Analyst

Geographer

Geographers study the Earth's surface and its human and natural environments. They use a variety of methods to collect and analyze data, including GIS, remote sensing, and field research. This course can help you develop the skills you need to become a successful Geographer by providing you with a strong foundation in Python, Pandas, and other essential geospatial data science tools.

See salaries and explore the career path for Geographer

Environmental Scientist

Environmental Scientists study the environment and its interactions with human activities. They use a variety of methods to collect and analyze data, including GIS, remote sensing, and field research. This course can help you develop the skills you need to become a successful Environmental Scientist by providing you with a strong foundation in Python, Pandas, and other essential geospatial data science tools.

See salaries and explore the career path for Environmental Scientist

Cartographer

Cartographers create maps and other visual representations of geographic data. They use a variety of software tools to create maps that are both accurate and visually appealing. This course can help you develop the skills you need to become a successful Cartographer by providing you with a strong foundation in Python, Pandas, GeoPandas, and other essential geospatial data science tools.

See salaries and explore the career path for Cartographer

GIS Developer

GIS Developers develop and maintain GIS software. They use a variety of programming languages and technologies to create software that can be used to collect, analyze, and visualize geospatial data. This course can help you develop the skills you need to become a successful GIS Developer by providing you with a strong foundation in Python, Pandas, and other essential geospatial data science tools.

See salaries and explore the career path for GIS Developer

Geospatial Data Scientist

Geospatial Data Scientists use geospatial data to solve business problems. They use a variety of statistical and machine learning techniques to extract insights from geospatial data and communicate their findings to stakeholders. This course can help you develop the skills you need to become a successful Geospatial Data Scientist by providing you with a strong foundation in Python, Pandas, GeoPandas, and other essential geospatial data science tools.

See salaries and explore the career path for Geospatial Data Scientist

Planning Commissioner

Planning Commissioners help to develop and implement land use plans for their communities. They use a variety of data and analysis tools to make decisions about the future of their communities. This course can help you develop the skills you need to become a successful Planning Commissioner by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Planning Commissioner

Land Surveyor

Land Surveyors measure and map land boundaries. They use a variety of tools and techniques to determine the size, shape, and location of land parcels. This course can help you develop the skills you need to become a successful Land Surveyor by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Land Surveyor

Real Estate Agent

Real Estate Agents help people buy and sell property. They use a variety of data and analysis tools to help their clients make informed decisions. This course can help you develop the skills you need to become a successful Real Estate Agent by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Real Estate Agent

Construction Manager

Construction Managers oversee the construction of buildings and other structures. They use a variety of data and analysis tools to plan and manage construction projects. This course can help you develop the skills you need to become a successful Construction Manager by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Construction Manager

Civil Engineer

Civil Engineers design and build infrastructure projects, such as roads, bridges, and buildings. They use a variety of data and analysis tools to plan and design infrastructure projects. This course can help you develop the skills you need to become a successful Civil Engineer by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Civil Engineer

Environmental Planner

Environmental Planners help to protect the environment by developing and implementing environmental plans. They use a variety of data and analysis tools to assess environmental impacts and develop plans to mitigate those impacts. This course can help you develop the skills you need to become a successful Environmental Planner by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Environmental Planner

Hydrologist

Hydrologists study the movement of water on Earth. They use a variety of data and analysis tools to assess water quality and quantity, and to develop plans to manage water resources. This course can help you develop the skills you need to become a successful Hydrologist by providing you with a strong foundation in Python, Pandas, and other essential data analysis tools.

See salaries and explore the career path for Hydrologist