Tags: SCC Seminar Series on Data Analysis


SCC Seminar on Data Analysis - Mary Akinde

Abstract: Power BI is a powerful business intelligence and data visualization tool that helps transform raw data into meaningful insights for research, business operations, and decision-making. In this seminar, I will introduce the fundamental components of Power BI, including Power Query for importing and transforming data, data modeling for organizing information, and Data Analysis Expressions for creating calculated measures. I will discuss…


SCC Seminar on Data Analysis: An Introduction to Handling Missing Data in R

An Introduction to Handling Missing Data in R  Missing data is a common complication when doing applied statistics and data science. In this talk, I will review the various types of missingness that can arise, and survey the most common ways of accounting properly for missing data when conducting statistical analyses. I will talk about some tools for summarizing missingness, managing it, and analyzing data in its presence. The emphasis will…


Exploratory Data Analysis in R Advice and Code for Getting Started

Flyer Presentation Slides Link to Video Recording of the Talk Online companion material for this talk: An R Markdown file with code and output with many examples from the talk is available as an attachment to the recording of the talk linked above. Follow the link to the recording. Then click on "Attachments", and you will be able to download the R Markdown file (named "EDANotes.html").


Power Analysis & Sample Size Determination: Basic Ideas, Tools, and Examples

Flyer Presentation Slides LINK TO COMPANION VIDEO ONE LINK TO COMPANION VIDEO TWO Online companion material for this talk: An R Script featured in the companion videos can be found at the link provided for either video.  Click on "Attachments", and you will be able to download the script (named "powerExamps.R"). LINK TO RECORDING OF TALK


Multiple Comparisons & Simultaneity: Methods and Advice

Flyer Presentation Slides Online companion material for this talk: LINK TO COMPANION VIDEO An R Script featured in the companion video can be found at the link provided for the video.  Click on "Attachments", and you will be able to download the script (named "multCompExamps.R"). LINK TO RECORDING OF TALK  


Statistical Methods for Data with Excess Zeros

LINK TO RECORDING OF THE TALK


Working with Factors in R

Note that there is online companion material for this talk: Links to two companion videos: https://kaltura.uga.edu/media/t/1_cka61gmn (Basics) https://kaltura.uga.edu/media/t/1_nkujgc63 (Contrasts & Parameterizations)   Link to recording of the talk https://kaltura.uga.edu/media/t/1_w026ci6y Note: The R script, FACTORS.R, mentioned in the talk is available as an attachment to the video linked above.


Introduction to Python


Introduction to SQL


Introduction to Stata

About Dr. Huber: Chuck Huber is Associate Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. In addition to working with Stata's tea m of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and…
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