• BasicLivello di competenza
• 4.2+
• 126.944 revisioni

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

• BasicLivello di competenza
• 4.2+
• 32.501 revisioni

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

• BasicLivello di competenza
• 4.2+
• 6911 revisioni

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

• IntermedioLivello di competenza
• 3.8+
• 1672 revisioni

Examine flight delays & cancellations to uncover insights.

• IntermedioLivello di competenza
• 4.2+
• 2521 revisioni

Chart electric vehicle charging trends to inform strategic planning.

• IntermedioLivello di competenza
• 4.3+
• 934 revisioni

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

• BasicLivello di competenza
• 4.2+
• 956 revisioni

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

• BasicLivello di competenza
• 4.3+
• 320 revisioni

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

• IntermedioLivello di competenza
• 4.2+
• 1057 revisioni

Building an image processing pipeline for data augmentation.

• BasicLivello di competenza
• 4.3+
• 560 revisioni

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

• IntermedioLivello di competenza
• 4.1+
• 388 revisioni

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

• BasicLivello di competenza
• 4.4+
• 534 revisioni

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

• IntermedioLivello di competenza
• 4.5+
• 388 revisioni

Compare life expectancy across countries and genders with ggplot2.

• IntermedioLivello di competenza
• 4.3+
• 352 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 634 revisioni

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