Description:
Curious about working with data in Python but not sure where to begin? This beginner-friendly workshop will guide you through the essentials of navigating files, understanding Python libraries, and using Pandas to explore real datasets. We focus on the practical skills you need to get started - what DataFrames are, how to load data, and how to perform basic filtering and summarizing. You don't need prior coding experience. This session is not about installing Python or diving into computer science concepts, but about giving you the confidence to take your first steps in Python-based data analysis.
Presenters:
Larissa do Carmo-Inácio, RCDM Graduate Assistant
Registration Link:
Description:
Interested in creating good visualizations for your research but unsure how to get started? This beginner-friendly workshop introduces the fundamentals of turning data into aesthetically pleasing graphics using Python’s most popular visualization libraries. You’ll apply core plotting concepts and create basic charts to communicate your findings effectively. No prior coding or visualization experience is required. This session was designed to give you the essential tools to begin visualizing data with confidence.
Presenter:
Larissa do Carmo-Inácio, RCDM Graduate Assistant
Registration Link:
Description:
Ready to take your Python skills into statistical analysis, but not quite sure where to begin? This introductory workshop shows you how to use Python to run standard statistical procedures, from loading and preparing your data to executing tests with widely used libraries. We focus on the coding steps involved in performing analyses - such as descriptive statistics, correlations, and linear regression - not on interpreting results or the underlying statistical theory. You don't need any prior experience with Python-based statistics. This session provides the practical foundation you need to start conducting statistical analyses in Python with confidence.
Presenter:
Larissa do Carmo-Inácio, RCDM Graduate Assistant
Registration Link:
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For the full list of UGA Libraries events, please visit https://libs.uga.edu/events.