Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Some past Data @ Strozier and Data @ Dirac workshops are listed below. Some of these workshops are and have been repeated. Recordings that are available of past workshops have been listed to access as well.
Get ready to expand your knowledge and sharpen your skills with our exciting The Data @ Your Desk workshop series for Spring 2024! Register Here.
Upcoming workshops for Spring 2024:
INTRODUCTION TO MACHINE LEARNING
March 21 | 5:00-6:30 pm
The Introduction to Machine Learning workshop will offer participants a practical understanding of the concepts of machine learning. Attendees will learn about the basic concepts, witness a live demonstration to illustrate these key concepts in action, and engage in interactive activities, including building models to predict stock prices, total sales, and more. This event aims to make machine learning accessible to students, providing a practical and theoretical basis for further exploration.
INTRODUCTION TO SQL
March 28 | 2:00-3:30 pm
SQL, or Structured Query Language, is a key technology used to work with databases. Join the FSU Libraries Data Fellows for an easy-to-follow introduction to SQL. This session will cover what SQL is, why it's important, and how it's used to work with data. The fellows will show you the tools and software needed to use SQL, along with methods for analyzing and handling data. They'll also talk about how SQL is used in different jobs. This introduction is designed to give you a basic understanding of how to manage and use data with SQL, helping you make informed decisions and explore data analytics.
DATA ANALYSIS IN MICROSOFT EXCEL
April 4 | 3:00-4:30 pm
Microsoft Excel is a versatile tool that is used by researchers in a variety of fields to analyze their data. This session will introduce participants to working with data in the Excel interface, including how to create and format worksheets, make calculations, create charts, and use tools to analyze data in meaningful ways.
INTRODUCTION TO GIT AND GITHUB
April 9 | 3:00-4:30 pm
Git is a version control system that tracks the history of changes as people and teams collaborate on projects together. GitHub is a web-based hosting service for git repositories. In this workshop we will be showing participants how to set up and configure their GIt and GitHub accounts. By the end of the workshop, participants will have their own Git and GitHub accounts ready, understand how to manage repositories, commit changes, collaborate on projects and more!
For more information or if you have any questions, please reach out to one of the Data librarians listed on the Home tab or go to the library website.
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