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Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

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Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

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Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

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Chart electric vehicle charging trends to inform strategic planning.

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Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

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Build interactive stock charts with Plotly and uncover financial trends in the fast food industry.

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Building an image processing pipeline for data augmentation.

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Use R to make art and create imaginary flowers inspired by nature.

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Examine the relationship between heart rate and heart disease using multiple logistic regression.

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Explore Super Bowl viewership data in the age of soaring ad costs.

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Compare life expectancy across countries and genders with ggplot2.

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Determine the patterns where bike theft is most likely to occur using visualizations.

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Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.