Topics covered in this workshop include the Unix shell, version control with git, and Programming with Python.
Since the goal of this workshop is to bring you up to speed with data analysis, it would be incomplete without instruction on a shell as well as a version control system. The shell is important in building reproducible data analysis pipelines where your R or Python scripts may be just one component, and git is an incredibly useful tool for version control, collaboration and management of your coding projects.
Thursday, February 1, and Friday, February 2, 2018
8:30 AM Registration | 9:00 AM – 5:00 PM Course Hours, Both Days
Day 1 Ungar Building, Abess Center Room #230C-D, 1365 Memorial Drive, Coral Gables, FL 33146
Day 2 McArthur Engineering Annex, Room #MEA 202, 1251 Memorial Drive, Coral Gables, FL 33146
NOTE: Bring your own laptop (any OS).
This Python workshop is capped at 30 participants, and is on a first-come/ first-served basis.
- If you are looking to make yourself competitive in the job market
- If you want to take a personal project to the next level
- If you are interested in learning programming for data analysis
Then, this workshop is for you.
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.
Brought to you by the Institute for Data Science and Computing and Richter Libraries, 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.
Instructor: Tim Norris, Visiting Assistant Professor, Richter Libraries