Event Details
Event Title 2020 Data Matters - Data Science Short Course Series
Location virtually
Sponsor RENCI - Odum Institute
Date/Time 12/07/2020 - 12/12/2020
Event Price
For more information, contact the event administrator: Jill Stevens jill_stevens@unc.edu
Sorry, This event has expired
Session Status Session Session Date Start Time End Time Cutoff Session Price
On Hold Introduction to Programming Using Python MON/TUE 12/07/2020 9:30 AM 12:00 AM none $120.00
On Hold Text Analysis Using R MON/TUE 12/07/2020 9:30 AM 12:00 AM none $120.00
On Hold Introduction to Statistical Machine Learning Using R MON/TUE 12/07/2020 9:30 AM 12:00 AM none $120.00
On Hold Introduction to R for Data Science: Professor Post MON/TUE 12/07/2020 9:30 AM 12:00 AM none $120.00
On Hold Introduction to Effective Information Visualization MON/TUE 12/07/2020 9:30 AM 12:00 AM none $120.00
On Hold Data Science in Health and Medicine WED 12/09/2020 9:30 AM 12:00 AM none $60.00
On Hold Intermediate Programming in R: Professor Post on WED 12/09/2020 9:30 AM 12:00 AM none $60.00
On Hold Introduction to Geospatial Data for the Data Scientist WED 12/09/2020 9:30 AM 12:00 AM none $60.00
On Hold Intro to Topics in Programming WED 12/09/2020 9:30 AM 12:00 AM none $60.00
On Hold Intermediate Python WED 12/09/2020 9:30 AM 12:00 AM none $60.00
On Hold Python for Tabular Data and Visualization THUR/FRI 12/10/2020 9:30 AM 12:00 AM none $120.00
On Hold An Introduction to Deep Learning with Python on THUR/FRI 12/10/2020 9:30 AM 12:00 AM none $120.00
On Hold Intro to Big Data & Machine Learning for Survey Researchers & Social Scientists THUR/FRI 12/10/2020 9:30 AM 12:00 AM none $120.00
On Hold Advanced R: Automating Workflow and Sharing Work THUR/FRI 12/10/2020 9:30 AM 12:00 AM none $120.00
On Hold Introduction to R for Data Science: Professor Duggins THUR/FRI 12/10/2020 9:30 AM 12:00 AM none $120.00
On Hold Amanda Wylie Registration 12/12/2020 12:00 AM 12:00 AM none $60.00
 

Data Matters 2020 will be held virtually this year, in December of 2020.

 

TAKE NOTE:   You can sign up for NO MORE THAN ONE CLASS per block. Credit card payment MUST be made at time of registration. Otherwise, unpaid credit card registrations will be automatically deleted within 24 hours. You cannot go back and apply payment later.

 

MON/TUE BLOCK:  Classes on Mon/Tue, December 7-8:  9:30 AM - 4:00 PM   ==>   (select no more than one)

WED BLOCK:  Classes on Wed, December 9:  9:30 AM - 4:00 PM    ==>  (select no more than one)

THUR/FRI BLOCK:  Classes on Thur/Fri, December 10-11:  9:30 AM - 4:00 PM    ==>  (select no more than one)

A few words about pricing and payment methods:

Please note: Firefox seems to work better with our registration / payment software.

We appreciate your understanding that we are only able to offer deeply discounted prices for current university students and employees.   * * * Note: Group discounts are NOT available for any pricing tier. * * *

UNIVERSITY PRICING:

To register for university prices, please enroll with a .edu email address or contact us for confirmation that you qualify for this rate. To qualify for this rate, you must be a currently enrolled student, staff, or faculty member.

P-cards: We can now accept a P-card for payment of your Data Matters classes, as well as interdepartmental transfer (contact us for chartfield string info).

CORPORATION PRICING:

     plus

NON-PROFIT OR GOVERNMENT (Non-University) PRICING:

     plus

 

* CANCELLATION / REFUND POLICY 

(You will need to email info@datamatters.org your refund request in order for this to be processed): 

95% of participant fees will be issued for any course enrollments canceled by you before November 6, 2020

85% of participant fees will be issued for any course enrollments canceled by you before November 15, 2020

75% of participant fees will be issued for any course enrollments canceled by you before November 27, 2020

If you cancel after November 27, 2020, no refund will be given - no exceptions. Please allow 30 days to receive your refund.

 

***********

WAITLIST PROCESS:

  1. Complete our waitlist form.  Use these instructions (below).
  2. Add your contact information.
  3. For each class block (Block 1 = Mon/Tue, Block 2 = Wed, Block 3 = Thur/Fri), please select the class you would like to take.  If you are already registered for a class block, please skip that one.
  4. Click submit.
  5. If a spot becomes available in your selected class(es), you will be notified in the order your waitlist form was submitted:

 

UNC - Chapel Hill