This one hour presentation and Q&A session will provide an overview of the goals and content of the python-based programming workshop series offered by the UCSF Library Data Science Initiative. 

Many analytical organizations, in academics and industry, are experiencing a new challenge: most researchers and analysts didn’t realize that they were signing up to become programmers. Although this transition can feel overwhelming at first, it can also be very rewarding. From marketing and fundraising to operations and healthcare, researchers and analysts who didn’t expect to be writing code are discovering new ways to blend their unique business expertise with advanced programming and data analysis skills.  

The python programming series provides hands-on workshops designed to introduce researchers and analysts to the kind of programming required for working analytically with data sets. The series starts with introductory programming workshops and progresses to more advanced topics, with a particular emphasis on text data, machine learning, and natural language processing. Technologies include jupyter notebook, python, unix, github, pandas dataframes, SQL, scikit-learn, and the natural language toolkit. 

This session will be recorded and available on the CLE after the workshop.