Events: Details

Data Cleaning with MATLAB

Category: Webinar
Description:

Data Cleaning with MATLAB

Instead of cleaning your data cell by cell, did you know that MATLAB can simplify and automate your data cleaning tasks?

Join us for a free data cleaning tutorial, where you can run MATLAB for free on nanoHUB to follow along during the live session. Learn more and register for free below.

Date and Time

Monday, September 12, 2022, 1:00 PM - 2:00 PM EDT

Presenter

Dr. Kelsey Joy Rodgers
 

Register here

 

Abstract

Did you know you can easily reformat and analyze all your worksheet data using MATLAB? 

This workshop will go over MATLAB built-in functions (readcell and writecell) to import data from Excel and export data to Excel. Depending on attendee interests, we will discuss how to import, reformat, analyze, plot, and export data. 

To prepare for the workshop, please set up a free nanoHUB account if you don’t yet have one (simple instructions are here), then launch and explore MATLAB in nanoHUB: https://nanohub.org/resources/matlab2021a

This workshop is for people who already know basic MATLAB skills. If you are looking for introductory material, check out these MATLAB tutorials on YouTube , which will get you started using MATLAB in nanoHUB.

 

Presenter Bio:

Dr. Kelsey Joy Rodgers is an engineer, engineering educator, and a researcher. She previously worked as an Assistant Professor and Visiting Research Scholar for Embry-Riddle Aeronautical University. She received her PhD in Engineering Education from Purdue University and her Bachelor's in Mechanical Engineering from Arizona State University - Polytechnic campus. While she was at Purdue University, she worked with the Network for Computational Nanotechnology (NCN) team.

 

For more information and future recordings, visit the nanoHUB MATLAB Group. Register soon as seats are limited. 

We hope to see you there!

 

When: Monday 12 September, 2022, 1:00 pm - 2:00 pm EDT
Website: https://purdue.webex.com/purdue/onstage/g.php?MTID=e1ab696325701ee0125ba8e049bce2cf6
Tags:
  1. data
  2. MATLAB
  3. matlab tutorial
September
S M T W T F S
        1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30