CU Data Week

12:00 - 1:15 p.m. MT: Working With a Statistician

We will provide tips on where to find a statistician to join your research team and how to foster a productive, strong collaboration with them. Additionally, we will discuss two common challenges, determining appropriate authorship and the scope of working with EHR data.

 

5:00 - 6:15 p.m. MT: Basic Data Management in R

Learn how to use R to prepare data for analysis.  We will cover data import and data cleaning. Prior programming experience in R is not required. Code and example data from the session will be made freely available to all attendees.

12:00 - 1:15 p.m. MT: Intro to Python

Learn about when Python could be a better choice than a language such as R, as well as learn some of the basics of Python. No prior programming experience is needed. 

 

5:00 - 6:15 p.m. MT: Basic Stats in R

Come learn how to do simple statistics (including t-tests, Chi-square tests, correlations, and simple linear regression) using R. Prior programming experience in R is recommended (due to the one-hour time frame) but not required. Code and example data from the session will be made freely available to all attendees.

12:00 - 1:15 p.m. MT: Data Visualization in R

Join for a session on how to create figures in R using the ggplot2 package. Topics to be covered include proper formatting for your data, understanding ggplot syntax and grammar, creating simple figures such as bar charts and scatter plots, and exporting publication-quality figures. Prior experience using R is recommended, but not a prerequisite, and example code will be provided after the session.

 

5:00 - 6:15 p.m. MT: Data Management in SAS

Learn how to use SAS software for basic data management to prepare data for analysis. We will cover importing data from Excel and CSV formats, creating and editing variables, and dataset manipulations. Code and example data from the session will be made freely available to all attendees.

12:00 - 1:15 p.m. MT: Basic Stats in SAS

Come learn how to do simple statistics (including t-tests, Chi-square tests, correlations, and simple linear regression) using SAS. Prior programming experience in SAS is recommended (due to the one-hour time frame) but not required. Code and example data from the session will be made freely available to all attendees.

Thursday, February 1st: 3:00 - 4:30 p.m. MT

The Gossard Forum - Fulginiti Pavilion 

Join us in closing out CU Data Week with desserts and prizes! There will be a raffle for a door prize, and tech prizes announced for those who attended classes this week.

Prizes announced at 3:45 p.m. You must be physically present to win the door prize.

Monday, January 30, 2023

12:00 - 1:00 p.m.

Learn where to find a statistician for your research team and how to foster a productive, strong collaboration with them. 

Recording Link

Monday, January 30, 2023
5:30 - 6:30 p.m.

Free text fields in data collection systems can often prove to be difficult to interpret and operationalize.

Join us this session for an introductory lesson on Perl - Regular Expressions: a powerful tool to extract, manage and transform data present in free text form. We will look into the general syntax for Perl, common problems found when working with small and large text fields, and the different functions that can be used to manage the data.

Recording Link

Tuesday, January 31, 2023
12:00 - 1:00 p.m. Basic data management in SAS

Learn how to use SAS software for basic data management to prepare data for analysis. We will cover importing data from Excel and CSV formats, creating and editing variables, and dataset manipulations.

Recording Link

Tuesday, January 31, 2023
5:30 - 6:30 p.m.

Come learn how to do simple statistics (including t-tests, Chi-square tests, correlations, and simple linear regression) using SAS. Prior programming experience in SAS is recommended (due to the one-hour time frame) but not required. Code and example data from the session will be made freely available to all attendees.

Recording Link

Wednesday, February 1, 2023
12:00 - 1:00 p.m.

Come learn how to manage data (including data import and data cleaning) using R.  Prior programming experience in R is not required.

Recording Link

 

Wednesday, February 1, 2023
5:30 - 6:30 p.m.

Join us for a session that explores utilizing different packages to create tables in R. Content will cover common tabling packages such as Kable, gtsummary, and flextable and how they interact with tidyverse and base R. Prior experience using R is recommended, but not a prerequisite, and example code will be provided after the session.

Recording Link

Thursday, February 2, 2023
12:00 - 1:00 p.m

Join CIDA for a session on how to create figures in R using the ggplot2 and sjPlot packages.

Topics to be covered include the proper format for your data, creating simple figures such as bar charts and scatter plots, or more advanced figures such as alluvial and forest plots, and how to output plots for reports. Prior experience using R is recommended, but not a prerequisite, and example code will be provided after the session.

Recording Link

Thursday, February 2, 2023
5:30 - 6:30 p.m.

Ideas, concepts, and insights needed to get started with building machine learning models with high-dimensional data. No prior knowledge in ML is required.

Recording Link

Friday, February 3, 2023
12:00 - 1:00 p.m.

Come learn how to do simple statistics (including t-tests, Chi-square tests, correlations, and simple linear regression) using R. Prior programming experience in R is recommended (due to the one-hour time frame) but not required. Code and example data from the session will be made freely available to all attendees. 

Recording Link