According to the 2022 annual IEEE Spectrum survey of the top programming languages, Python remains the most popular programming language in job listings. This course covers the fundamentals of Python, with a special focus on the skills necessary for in-depth data analyses and data visualization. These two skills are fundamental in a wide range of disciplines, including but not limited to STEM (Sciences, Technology, Engineering, and Mathematics) and Humanities fields of study.

In this course, we will cover the following:

Data types and compound data structures
Conditional statements and loops
Python functions
Importing, exporting, and analyzing different types of data using pandas
Visualizing data using Matplotlib and Seaborn
Bonus: developing interactive plots with Plotly
At the end of the two-week course, students will work and present a final personal data analytics and visualization project.

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