Data Matters: Data Science Short Course Series

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