The New Brunswick Libraries’ Quantiative Data Analytics Graduate Specialist, Hang Miao, will be offering a three-part series of Python workshops in October, starting Friday October 5.
Note: additional more advanced workshops for November will be announced later in October.
☞ RSVP for the Python workshops.
Workshops are offered in either Alexander Library or LSM (with identical content). Participants in LSM-based workshops must bring their own laptops. At Alexander, you can either bring your own laptop, or use the desktops in the lab.
Python Basics and Data Exploration
October 5, 1-3 pm, Alexander Library Room 413
October 10, 3:30-5:30 pm, Library of Science and Medicine Electronic Classroom (3rd floor)
This workshop will be an accelerated introduction to fundamental concepts such as variable assignment, data types, basic calculations, working with strings and lists, control structures (e.g. for-loops), functions. We will also start working with pandas, a popular data science library in Python, to explore a dataset on foodborne outbreaks reported to the CDC.
Data Manipulation and Analysis
October 12, 1-3 pm, Alexander Library Room 413
October 17, 3:30-5:30 pm, Library of Science and Medicine Conference Room (1st Floor)
In this workshop, we will dive into the world of arrays and data frames using the NumPy and pandas libraries. We’ll cover data cleaning and pre-processing, joining and merging, group operations, and more. If you work with tabular data, this workshop is for you!
Data Visualization and Machine Learning
October 19, 1-3 pm, Alexander Library Room 413
October 24, 3:30-5:30 pm, Library of Science and Medicine Conference Room (1st floor)
Interested in finding patterns and predicting unknown attribute values in your data? Join us for an overview of machine learning techniques implemented using the scikit-learn library. We’ll also learn how to do data visualization with matplotlib, a popular plotting library in Python.
Open Follow-up Session on Python
October 26, 1-3 pm, Alexander Library Room 413
October 31 3:30-5:30 pm, Library of Science and Medicine Electronic Classroom (3rd floor)
This open session allows participants to bring their questions or issues from previous sessions to practice and further develop skills.