• TemelBeceri Seviyesi
• 4.2+
• 1.012 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 1.374 inceleme

Build models predicting customer churn for Indian telecom customers.

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 1.341 inceleme

Apply your data manipulation skills to time series data on water levels of the River Thames.

• Orta SeviyeBeceri Seviyesi
• 3.9+
• 1.330 inceleme

Use joining techniques to discover the oldest businesses in the world.

• Orta SeviyeBeceri Seviyesi
• 3.8+
• 1.721 inceleme

Examine flight delays & cancellations to uncover insights.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 2.568 inceleme

Chart electric vehicle charging trends to inform strategic planning.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 1.091 inceleme

Building an image processing pipeline for data augmentation.

• TemelBeceri Seviyesi
• 4.2+
• 1.882 inceleme

Exploring flight data from NYC using advanced data joining techniques in R.

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 960 inceleme

Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.

• TemelBeceri Seviyesi
• 4.3+
• 548 inceleme

Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.

• TemelBeceri Seviyesi
• 4.3+
• 506 inceleme

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 404 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 557 inceleme

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

• TemelBeceri Seviyesi
• 4.4+
• 323 inceleme

Use SQL to figure out the golden era of video games!

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 407 inceleme

Compare life expectancy across countries and genders with ggplot2.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 476 inceleme

Analyze grocery store data to identify shopping patterns and preferences.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 320 inceleme

Write functions to forecast time series of food prices in Rwanda.