Introduction to Python for Data Science and Applied Statistics
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Introduction to Python for Data Science and Applied Statistics Online
This workshop is designed to familiarize participants with the basic frameworks for analyzing statistical and quantitative data with Python. With a focus on building good programming habits and sound understanding of the fundamentals, workshop participants will learn to identify and work with different types of data including vectors, matrices, and data frames. Participants will also learn how to set and define their working directory, install and use external frameworks for data manipulation and analysis, manage their project's dependencies using virtual environments, and make inferences about real world data and showcase those results to different audiences.
Instructions: Participants should come prepared to work through live examples by bringing a laptop with Python and Positron preinstalled. To download Python, navigate to Python's webpage and download the latest version of Python for your operating system. You will also need to download Positron. Note that many users prefer to install the Anaconda distribution of Python because it auto-installs many important data science libraries. Regardless of how you install it, make sure you install Python version 3 (3.13 preferred).