Professor Michael J. Pyrcz, The University of Texas at Austin

Professor Michael J. Pyrcz, The University of Texas at AustinProfessor Michael J. Pyrcz, The University of Texas at AustinProfessor Michael J. Pyrcz, The University of Texas at Austin

Professor Michael J. Pyrcz, The University of Texas at Austin

Professor Michael J. Pyrcz, The University of Texas at AustinProfessor Michael J. Pyrcz, The University of Texas at AustinProfessor Michael J. Pyrcz, The University of Texas at Austin
  • My Story
  • My Research
  • My Publications
  • My Students
  • My Resources
  • My News
  • My Advice
  • More
    • My Story
    • My Research
    • My Publications
    • My Students
    • My Resources
    • My News
    • My Advice
  • My Story
  • My Research
  • My Publications
  • My Students
  • My Resources
  • My News
  • My Advice

My Resources

I provide a lot of resources to support anyone interested in learning about spatial, subsurface data analytics, geostatistics, and machine learning. This includes all of my university lectures shared on my YouTube channel, along with well-documented demonstration workflows on GitHub. Anyone can follow along and learn.


I do this to support my students with evergreen content and working professionals facing the digital challenge, and to break down barriers and make our university a welcoming place and myself accessible to all interested in science and engineering. As a professor, I have a great opportunity to serve our society and our scientific community.


Use the link below (the image) to access an inventory of my online resources with links.

NEW Summer 2024: I just published an e-Book!

 Pyrcz, M.J., 2024, Applied Geostatistics in Python: A Hands-on Guide with GeostatsPy, https://geostatsguy.github.io/GeostatsPyDemos_Book. 


A resource to help you learn or improve your geostatistics skills in Python to get the job done!

YouTube Channel

I record all my lectures from The University of Texas at Austin and post them on YouTube to support my students, working professionals and in the hope to inspire the next generation to pursue a career in STEM. I'm stoked to hear all the positive feedback from around the world from folks learning new things and finding new opportunities through this content. 

It wasn't until late in High School that I was inspired to study engineering and science. It was a chance discussion with an engineering undergraduate to set me on this path. I remember that university was an alien place to me. My hope is to remove barriers for all, by making university an inviting place and faculty accessible to potential students. 

Education changes lives!

Introduction to My YouTube Channel

Why do I share my university educational content?

Data Analytics and Geostatistics

Want to learn how to get the job done in Python with data analytics and geostatistics?

Machine Learning

From data and feature engineering to inferential and predictive machine learning, learn how to build workflows in Python.

Spatial Data Analytics and Modeling

Building spatial, subsurface models? Here's how you do it with demonstrations in Python.

Data Science Basics in Python

Getting started with data science? In Python? I've got you covered.

GitHub Repositories

I share a lot of Python and R code. I even have a lot of Microsoft Excel workflows! 

Did you know that I wrote a spatial data analytics Python package?  

Data Analytics, Geostatistics and Machine Learning in Python

Data Analytics, Geostatistics and Machine Learning in Python

Data Analytics, Geostatistics and Machine Learning in Python

Well-documented workflows in Python. Look here for the demonstrations and interactive examples in my recorded lectures.

Spatial Data Analytics Python Package

Data Analytics, Geostatistics and Machine Learning in Python

Data Analytics, Geostatistics and Machine Learning in Python

GeostatsPy - spatial data analytics and geostatistics in Python.

Data Analytics, Geostatistics and Machine Learning in Excel

Data Analytics, Geostatistics and Machine Learning in Python

Data Analytics, Geostatistics and Machine Learning in Excel

Many well-documented Excel sheets with interactive and totally accessible data analytics, geostatistics and machine learning. Everyone uses Excel,  meet students where they are.

Spatial Datasets

GitHub Inventory with Links

Data Analytics, Geostatistics and Machine Learning in Excel

Data analytics and machine learning needs data. I'm originally a geostatistician, so I'm really good at making synthetic data to support my courses.

R Stats

GitHub Inventory with Links

GitHub Inventory with Links

R stats is awesome. The packages, documentation, code quality, ease of use and abundant diagnostics are great. R stats for powerful statistics! 

GitHub Inventory with Links

GitHub Inventory with Links

GitHub Inventory with Links

I share so much that you may get lost. Here's a convenient inventory with links.

My Experience with Posting My University Content

 My students really appreciate the content to reinforce our in-class lectures. I've also seen a lot of unexpected consequences as a result of posting all my university lectures online, free for anyone to access. There are other universities and many high schools, all over the world, that use my lectures to support learning, working professionals are gaining new skills to face the digital revolution and I'm hearing about potential students getting introduced to these important topics. This has resulted in new collaborations and even funding for my graduate students. In my heart, I hope these posted lectures helps to remove barriers and makes our university an inviting place for all interested in learning. 

DiReCT Consortium

We collaborate with various partner companies to take on spatial, subsurface data analytics and machine learning challenges. 

daytum

An education startup for building data science competencies in your geoscience and subsurface engineering workforce. 

Want to Collaborate?

 Are you interested in collaboration? I work in a wide variety of areas, including groundwater, mining, environmental remediation,  oil and gas, economic development. I'm excited to partner with industry, government, and other academics to solve difficult societal problems and to add value.  I have unique skills and experience in the theory and application of spatial data analytics, geostatistics and machine learning, and an amazing, productive army of excellent students. There are a variety of opportunities for collaboration.
 

We support close collaboration for the development of novel methods and workflows along with demonstrations and documentation to support implementation in your organization. Partnerships between industry and my group are essential for our success.  Here are some options for collaboration:
 

1. Sponsor Research Directly - let's work together to design and conduct a research project. I support close collaboration for maximum value and a great experience for my students.
 

2. Join My Consortium - leverage your support and benefit from the work of several graduate students developing new methods and workflows in spatial, subsurface data analytics, geostatistics, and machine learning. We hold quarterly steering meetings, host frequent visits with our industry partners, and provide great research results with papers and well-documented workflows.   

 

3. Hire my Graduate Students - I have great students ready to add value with challenging internship and full time positions.

Copyright © 2021 Professor Michael J. Pyrcz, The University of Texas at Austin

All Rights Reserved.

Powered by GoDaddy Website Builder

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept