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DATA MATTERS: DATA SCIENCE SHORT COURSE SERIES


Data Matters™ is a week-long series of virtual one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University. Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors. Registration is now open; reserve your spot now!

December 7-11, 2020

Online

 

COVID-19 Update:

Due to the uncertainty of the COVID-19 pandemic, many UNC system schools will be starting their semesters earlier than usual and finalizing exams before Thanksgiving. The usual time frame for Data Matters conflicts with this earlier start date. Rather than cancel 2020 Data Matters, we have rescheduled it to take place online December 7-11, 2020.

Course Schedule


For more information on the series, including instructor bios and course descriptions, please visit the main Data Matters website.

BLOCK 1
December 7 - 8
Monday - Tuesday
BLOCK 2
December 9
Wednesday
BLOCK 3
December 10 - 11
Thursday - Friday
Intro to Effective Info Visualization
Maximum: 40
Eric Monson, Duke Univ.
Intermediate Python
Maximum: 30
Jason Carter, UNC
Introduction to R for Data Science
Maximum: 30
Jonathan Duggins, NC State
Introduction to R for Data Science
Maximum: 50
Justin Post, NC State
Data Science in Health & Medicine:
Developing and Evaluating Predictive Models with Biomedical Data

Maximum: 40
Benjamin Goldstein, Duke Univ.
An Introduction to Deep Learning with Python
Maximum: 25
Ashok Krishnamurthy, UNC
Text Analysis Using R
Maximum: 30
Alison Blaine, BCBS
Introduction to Geospatial Data for the Data Scientist
Maximum: 30
Bill Wheaton, Consultant for NIH
Intro to Big Data & Machine Learning for Survey
Researchers & Social Scientists

Maximum: 30
Trent Buskirk, Bowling Green State Univ.
Introduction to Statistical Machine Learning Using R
Maximum: 26
Yufeng Liu, UNC
Intermediate Programming in R
Maximum: 26
Justin Post, NC State
Advanced R: Automating Workflow and Sharing Work
Maximum: 26
Justin Post, NC State
Intro to Programming Using Python
Maximum: 30
Jason Carter, UNC
Intro to Topics in Programming
Maximum: 25
Jonathan Duggins, NC State

Python for Tabular Data and Visualization
Maximum: 25
Eric Monson, Duke Univ.

Daily Schedule


Session 1: 9:30 – 10:40 a.m.
Break: 10:40 – 10:50 a.m.
Session 2: 10:50 a.m. – 12:00 p.m.
Lunch: 12:00 – 1:15 p.m.
Session 3: 1:15 – 2:25 p.m.
Break: 2:25 – 2:35 p.m.
Session 4: 2:35 – 3:45 p.m.
Q&A and Feedback: 3:45 – 4:00 p.m.

Registration and Pricing


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:

  • $120 for each two-day class
  • $60 for a one-day class

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.

UNC-Chapel Hill Registrants: We can now access a P-card for payment of your Data Matters classes, as well as an interdepartmental transfer (contact us for chartfield string info).

Corporation Pricing:

  • Flat fee of $400

plus

  • $120 for each two-day class
  • $60 for a one-day class

Non-Profit or Government (Non-University) Pricing:

  • Flat fee of $200

plus

  • $120 for each two-day class
  • $60 for a one-day class

Note: You may only register for one course per block.
Credit card payments must be applied at the time of your registration.

Register Online