• БазовыйУровень навыков
• 4.2+
• 122 901 отзыв

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

• БазовыйУровень навыков
• 4.2+
• 31 703 отзыва

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

• БазовыйУровень навыков
• 4.2+
• 6 839 отзывов

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

• Средний уровеньУровень навыков
• 3.8+
• 1 639 отзывов

Examine flight delays & cancellations to uncover insights.

• Средний уровеньУровень навыков
• 4.2+
• 1 025 отзывов

Building an image processing pipeline for data augmentation.

• Средний уровеньУровень навыков
• 4.2+
• 2 475 отзывов

Chart electric vehicle charging trends to inform strategic planning.

• Средний уровеньУровень навыков
• 4.3+
• 893 отзыва

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

• БазовыйУровень навыков
• 4.2+
• 915 отзывов

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

• БазовыйУровень навыков
• 4.4+
• 300 отзывов

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

• Средний уровеньУровень навыков
• 4.0+
• 370 отзывов

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

• БазовыйУровень навыков
• 4.3+
• 512 отзывов

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

• БазовыйУровень навыков
• 4.4+
• 513 отзывов

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

• Средний уровеньУровень навыков
• 4.3+
• 619 отзывов

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

• Средний уровеньУровень навыков
• 4.3+
• 343 отзыва

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

• Средний уровеньУровень навыков
• 4.5+
• 377 отзывов

Compare life expectancy across countries and genders with ggplot2.