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March 2022

Processing the CoreLogic Data on Great Lakes using PySpark

March 17 @ 10:00 am - 12:00 pm
Location: Your Desktop,
Presenters: Armand Burks (arburks), Jule Krüger(julianek)

OVERVIEW This workshop provides an introduction to processing CoreLogic data using PySpark on the Great Lakes cluster. The CoreLogic dataset contains aggregated data from individual, parcel-level real estate transactions and… Continue Reading Processing the CoreLogic Data on Great Lakes using PySpark

Machine Learning on Great Lakes

March 17 @ 2:00 pm - 4:00 pm
Location: Your Desktop,

OVERVIEW This workshop will go over methods and best practices for running machine learning applications on Great Lakes. We will briefly outline machine learning before stepping through a hands-on example… Continue Reading Machine Learning on Great Lakes

Reading and discussion group: Spatial Analysis in Social Sciences

March 24 @ 2:00 pm - 4:00 pm
Location: Your Desktop,

This reading group moderated by consultants from CSCAR will focus on spatial analysis especially as practiced in social sciences. We will meet for 1.5 to 2 hours every month on… Continue Reading Reading and discussion group: Spatial Analysis in Social Sciences

Software Development For Research: Git for Collaborative Development

March 30 @ 10:00 am - 12:00 pm
Location: Your Desktop,

This is a continuation of the previous workshop "Software Development For Research: Version Control Principles". Now, having learned the basics of version control, we will see how to use the… Continue Reading Software Development For Research: Git for Collaborative Development

April 2022

Software Development For Research: Team-Based Programming Management

April 13 @ 10:00 am - 12:00 pm
Location: Your Desktop,

Software development and computer programming is increasingly a major part of scientific research. When small or large teams are involved in coding the same project, it’s a good idea to… Continue Reading Software Development For Research: Team-Based Programming Management

May 2022

Data Scraping With The Twitter Decahose At The University of Michigan

May 13 @ 1:00 pm - 3:00 pm
Location: Your Desktop,

Social media platforms are a rich source for data. The University of Michigan collects data with the Twitter Decahose, maintaining an archive of 10% of tweets made from the past… Continue Reading Data Scraping With The Twitter Decahose At The University of Michigan

A Beginner’s Guide To Web Scraping With Python

May 27 @ 1:00 pm - 3:00 pm
Location:

There's a ton of data on the web! You can collect it by using "web scraping!" But what is web scraping? And how do you do it? This workshop is… Continue Reading A Beginner’s Guide To Web Scraping With Python

August 2022

Introduction to Julia for Statisticians and Data Scientists – Day 1

August 15 @ 9:00 am - 11:00 am
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have… Continue Reading Introduction to Julia for Statisticians and Data Scientists – Day 1

Introduction to Julia for Statisticians and Data Scientists Day #2

August 16 @ 9:00 am - 11:00 am
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have… Continue Reading Introduction to Julia for Statisticians and Data Scientists Day #2

Introduction to Julia for Statisticians and Data Scientists Day #3

August 18 @ 9:00 am - 11:00 am
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have… Continue Reading Introduction to Julia for Statisticians and Data Scientists Day #3