• TemelBeceri Seviyesi
• 4.2+
• 123.381 inceleme

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

• TemelBeceri Seviyesi
• 4.2+
• 31.796 inceleme

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

• TemelBeceri Seviyesi
• 4.2+
• 6.851 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 3.8+
• 1.641 inceleme

Examine flight delays & cancellations to uncover insights.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 2.480 inceleme

Chart electric vehicle charging trends to inform strategic planning.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 899 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 1.029 inceleme

Building an image processing pipeline for data augmentation.

• TemelBeceri Seviyesi
• 4.2+
• 918 inceleme

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

• TemelBeceri Seviyesi
• 4.4+
• 303 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 370 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 513 inceleme

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

• TemelBeceri Seviyesi
• 4.4+
• 516 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 623 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 344 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 381 inceleme

Compare life expectancy across countries and genders with ggplot2.