Our trained instructors will lead you through a comprehensive, hands-on overview of an introductory data analysis using Python. We will cover topics like data types, functions, conditional statements, loops, errors and exceptions, debugging, and some key Python libraries and writing Python programs that will work like Linux command-line tools. This workshop is designed to provide a foundation of basic concepts that all programming depends on, using Python as an example.
Register Now | Syllabus
This Bash, Python, and git workshop is capped at 35 participants, and is on a first-come/first-served basis.
Thursday and Friday, March 21-22, 2019
8:00 AM Registration | 9:00 AM – 5:00 PM Course Hours, Both Days
NOTE: Bring your own laptop (any OS).
Instructors: Tim Norris, PhD, Research Data Scientist & Kalan Dawson, CCS Advanced Computing System Administrator
LOCATION + PARKING
The Collaboratory is on the first floor of the Louis Calder Memorial Library (1601 NW 10th Avenue, Miami, FL 33136). The closest and easiest paid parking is available in the Jackson Hospital parking garages nearby. There are 2: one just to the north, next to the Bascom Palmer Eye Institute and the other is west, next to the Rosenstiel Medical Sciences Building (RMSB).
Medical Campus map | Directions
The parking garages are buildings 49 (P 10 – Red Garage) and 50 (P 11- Green Garage) on the map. Calder Library is building 15 on the map. The Red Garage is closest.
Daily Self-Parking Rates at Jackson Hospital Garages (from their website):
Up to 2 Hours: FREE
2 to 2 ½ Hours: $5
2 ½ to 3 Hours: $7
3 to 3 ½ Hours: $9
3 ½ to 24 Hours: $11
Lost Chip Coin: $16
Park Plaza West
Street Address: 1140 NW 16 Street
Park Plaza East
Street Address: 901 NW 17 Street
Brought to you by the Graduate School, the Center for Cognitive Neuroscience and Aging, UM Libraries, and IDSC, this 2-day workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team. The format is a mixture of short seminars and hands-on practical exercises, and participants are encouraged to help one another, and to try applying what they have learned to their own research problems during and between sessions.