• GrundläggandeKunskapsnivå
• 4.2+
• 122 901 recensioner

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

• GrundläggandeKunskapsnivå
• 4.2+
• 31 703 recensioner

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

• GrundläggandeKunskapsnivå
• 4.2+
• 6 839 recensioner

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

• MedelnivåKunskapsnivå
• 3.8+
• 1 639 recensioner

Examine flight delays & cancellations to uncover insights.

• MedelnivåKunskapsnivå
• 4.2+
• 1 025 recensioner

Building an image processing pipeline for data augmentation.

• MedelnivåKunskapsnivå
• 4.2+
• 2 475 recensioner

Chart electric vehicle charging trends to inform strategic planning.

• MedelnivåKunskapsnivå
• 4.3+
• 893 recensioner

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

• GrundläggandeKunskapsnivå
• 4.2+
• 915 recensioner

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

• GrundläggandeKunskapsnivå
• 4.4+
• 300 recensioner

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

• MedelnivåKunskapsnivå
• 4.0+
• 370 recensioner

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

• GrundläggandeKunskapsnivå
• 4.3+
• 512 recensioner

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

• GrundläggandeKunskapsnivå
• 4.4+
• 513 recensioner

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

• MedelnivåKunskapsnivå
• 4.3+
• 619 recensioner

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

• MedelnivåKunskapsnivå
• 4.3+
• 343 recensioner

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

• MedelnivåKunskapsnivå
• 4.5+
• 377 recensioner

Compare life expectancy across countries and genders with ggplot2.