Statistics for GIS Professionals from Udemy

what people are saying about this workshop:

Just a quick note to say thank you for your workshop yesterday at the GIS Conference. I'm not exaggerating when I say it was probably one of the best overview classes in statistics I've ever taken, and certainly one of the very best classes in geoststistics. Your examples are so clear and concise and cut right to the heart of the matter. It was a whirlwind tour, and I look forward to reviewing your videos again.

This is an introductory workshop on statistics and GIS that I have successfully taught at professional one-day GIS conferences. The workshop will help you understand the statistical techniques used in GIS, and some basic theory and background so that you can use statistics in an intelligent way. This is less of a hands-on workshop as there is so much to cover, and is similar to what you might attend at a professional GIS conference.

I created this workshop in response to GIS professionals wanting to know about how to properly use statistics in their work. So, this is a nice balance of both GIS and statistics, but mostly statistics in an easily digestible 7 hour workshop - you can easily work through this on a Saturday, or perhaps 2 evenings in order to get a better understanding of statistics and how they are used in GIS.

The actual university course I teach on this topic includes 45 hours of lecture, 30 hours of lab, with numerous homework assignments and guided reading - most professionals don't have time for that kind of commitment. Clearly, you won't be an expert at statistics in GIS without spending lots of time practicing, but this workshop will get you started, and I've included lots of GIS examples to illustrate how to properly use statistics in your GIS work.

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Know what's good

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, and possible dealbreakers

Ideal for GIS professionals who need a refresher on basic statistics for geospatial work

Provides a comprehensive overview of statistical techniques used in GIS, making it suitable for beginners

Includes practical examples to illustrate the use of statistics in GIS workflows

Covers a wide range of statistical concepts, but may not provide in-depth understanding for advanced users

Prerequisites may be required for individuals without prior statistical knowledge

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 Statistics for GIS Professionals with these activities:

Review basic probability concepts

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Begin the class by refreshing your understanding of basic probability concepts, which will better situate you to understand more complex statistical concepts throughout the syllabus.

Browse courses on Probability

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Create a list of different probability distributions you've encountered
Identify the area under each distribution that corresponds to a certain probability
Solve basic probability problems involving conditional probabilities and independence

Watch a tutorial on Normal Distribution

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Warming up with probability and distributions can help you prepare for the course.

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Search video sharing websites for a tutorial on Normal Distribution.
Pick one and start watching.
Take notes.

Review basic statistics concepts

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Brush up on fundamental statistical concepts to strengthen your foundation for the course.

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Review probability and probability distributions
Go over the concepts of mean, median, and mode
Refresh your understanding of hypothesis testing

13 other activities

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Watch video tutorials on statistical methods

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Supplement your learning with video tutorials covering key statistical techniques.

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Find reputable online platforms or YouTube channels offering statistical tutorials
Choose tutorials that align with the course topics
Take notes and pause the videos to practice the concepts

Review Probability and Statistics

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Solidify your understanding of basic probability and statistics concepts, which will help you build a strong foundation for this course.

Browse courses on Probability

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Review probability distributions
Review hypotheses testing
Review linear regression

Create flashcards for different statistical terms

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Flashcards are a great way to retain and memorize key statistical terms.

Browse courses on Statistics

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Identify important statistical terms from the course.
Start a set of flashcards for each term.
Review your flashcards regularly.

Solve the practice questions together

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Peer sessions can help you solidify your understanding and clear any doubts.

Browse courses on Hypothesis Testing

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Form a small group of students.
Meet online or offline to discuss and solve practice questions.
Help each other out with tough questions.

Explore Spatial Statistics using Python

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Expand your knowledge of spatial statistics by following tutorials that utilize Python, which will complement the course content.

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Find tutorials on spatial statistics with Python
Follow tutorials and complete exercises
Apply techniques to practice datasets

Compile a GIS resource library

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Enhance your GIS knowledge and skills by creating a comprehensive library of resources, including articles, tutorials, datasets, and software.

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Identify and gather relevant resources from reputable sources
Organize the resources into categories or topics
Create a system for easily accessing and sharing the resources
Regularly update the library with new and relevant resources

Create a cheat sheet with different tests for location

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This activity will help you retain and apply the methods you'll learn in Hypothesis Testing.

Browse courses on Hypothesis Testing

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Identify different tests for location we'll learn in the course.
Start a simple cheat sheet.
Expand the cheat sheet with more details.
Review your cheat sheet before the test.

Solve statistical problems

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Reinforce your understanding by solving a variety of statistical problems.

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Find practice problems online or in textbooks
Work through the problems step-by-step
Check your answers against the provided solutions

Participate in a study group or online forum

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Engage in discussions with peers to enhance your understanding and broaden your perspectives.

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Join an online forum or study group related to statistics
Actively participate in discussions
Share your insights and ask questions to clarify concepts

Conduct practice hypothesis tests

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Practice hypothesis testing to develop the ability to make inferences about a population based on a sample, a skill essential to working with data in GIS.

Browse courses on Hypothesis Testing

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Choose a research question and define the null hypothesis
Determine the appropriate statistical test and alpha level
Conduct the hypothesis test and interpret the results
Write a brief report summarizing your findings

Practice chi-square test of independence

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Practice makes perfect! Reinforce your understanding of the chi-square test of independence.

Browse courses on Chi-Square Test

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Find a list of chi-square practice problems.
Work through each problem.
Check your answers or discuss them with your classmates.

Create a data visualization project

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Apply your statistical skills to a practical project, visualizing data to communicate insights.

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Choose a dataset that interests you
Analyze the data and identify key insights
Select an appropriate data visualization tool
Create a visually appealing and informative data visualization

Develop a GIS project proposal

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Propose a GIS project to gain experience defining project goals, objectives, and methods, as well as identifying data sources and potential challenges.

Browse courses on Spatial Analysis

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Identify a problem or question that can be addressed using GIS
Develop a project plan that outlines the project scope, goals, objectives, and methodology
Identify and describe the data sources that will be used in the project
Create a project timeline and budget

Career center

Learners who complete Statistics for GIS Professionals will develop knowledge and skills that may be useful to these careers:

Geospatial Data Analyst

A Geospatial Data Analyst uses location-based data to understand and solve complex problems. This course on Statistics for GIS Professionals will provide a solid foundation in the statistical techniques that are used in geospatial data analysis. By understanding these techniques, analysts can more effectively collect, analyze, and interpret data to make informed decisions.

See salaries and explore the career path for Geospatial Data Analyst

GIS Specialist

A GIS Specialist uses geographic information systems (GIS) to create and analyze maps and other visualizations. This course on Statistics for GIS Professionals will provide a strong foundation in the statistical techniques that are used in GIS, which will allow GIS Specialists to use statistics to improve the accuracy and effectiveness of their maps and visualizations.

See salaries and explore the career path for GIS Specialist

Urban Planner

An Urban Planner develops plans for the use and development of land in cities and towns. This course on Statistics for GIS Professionals will provide a strong foundation in the statistical techniques that are used in urban planning, which will assist Urban Planners in making data-driven decisions about land use and development.

See salaries and explore the career path for Urban Planner

Environmental Scientist

An Environmental Scientist studies the environment and its interaction with human activities. This course on Statistics for GIS Professionals will provide a strong foundation in the statistical techniques that are used in environmental science, which will allow Environmental Scientists to more effectively collect, analyze, and interpret data to understand the environment and its interaction with humanity.

See salaries and explore the career path for Environmental Scientist

Geographer

A Geographer studies the Earth's surface and its human and environmental interactions. This course on Statistics for GIS Professionals will provide a strong foundation in the statistical techniques that are used in geography, which will allow Geographers to more effectively collect, analyze, and interpret data to understand the Earth's surface and its human and environmental interactions.

See salaries and explore the career path for Geographer

Data Scientist

A Data Scientist uses data to solve problems and make predictions. This course on Statistics for GIS Professionals may be useful for Data Scientists who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Data Scientists can more effectively collect, analyze, and interpret data to solve problems and make predictions.

See salaries and explore the career path for Data Scientist

Market Research Analyst

A Market Research Analyst conducts research to understand consumer behavior and trends. This course on Statistics for GIS Professionals may be useful for Market Research Analysts who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Market Research Analysts can more effectively collect, analyze, and interpret data to understand consumer behavior and trends.

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Financial Analyst

A Financial Analyst uses financial data to make investment decisions. This course on Statistics for GIS Professionals may be useful for Financial Analysts who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Financial Analysts can more effectively collect, analyze, and interpret data to make investment decisions.

See salaries and explore the career path for Financial Analyst

Actuary

An Actuary uses mathematical and statistical techniques to assess risk. This course on Statistics for GIS Professionals may be useful for Actuaries who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Actuaries can more effectively collect, analyze, and interpret data to assess risk.

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Statistician

A Statistician uses statistical techniques to collect, analyze, interpret, and present data. This course on Statistics for GIS Professionals may be useful for Statisticians who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Statisticians can more effectively collect, analyze, and interpret data to solve problems and make predictions.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course on Statistics for GIS Professionals may be useful for Software Engineers who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Software Engineers can more effectively design, develop, and maintain software applications that use GIS.

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Computer Programmer

A Computer Programmer writes and maintains computer programs. This course on Statistics for GIS Professionals may be useful for Computer Programmers who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Computer Programmers can more effectively write and maintain computer programs that use GIS.

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Database Administrator

A Database Administrator designs, implements, and maintains databases. This course on Statistics for GIS Professionals may be useful for Database Administrators who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Database Administrators can more effectively design, implement, and maintain databases that use GIS.

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Project Manager

A Project Manager plans, organizes, and executes projects. This course on Statistics for GIS Professionals may be useful for Project Managers who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Project Managers can more effectively plan, organize, and execute projects that use GIS.

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Business Analyst

A Business Analyst uses data to understand business needs and develop solutions. This course on Statistics for GIS Professionals may be useful for Business Analysts who want to learn more about the statistical techniques that are used in GIS. By understanding these techniques, Business Analysts can more effectively use data to understand business needs and develop solutions.

See salaries and explore the career path for Business Analyst