• Orta SeviyeBeceri Seviyesi
• 3.7+
• 291

Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

• TemelBeceri Seviyesi
• 3.9+
• 288

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

• TemelBeceri Seviyesi
• 4.1+
• 286

Use a variety of data manipulation techniques to explore different aspects of Legos history.

• Orta SeviyeBeceri Seviyesi
• 3.4+
• 258

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

• TemelBeceri Seviyesi
• 4.4+
• 238

Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 232

Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!

• TemelBeceri Seviyesi
• 4.0+
• 154

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

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 146

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

• TemelBeceri Seviyesi
• 4.5+
• 141

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

• Orta SeviyeBeceri Seviyesi
• 3.5+
• 139

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

• TemelBeceri Seviyesi
• 4.5+
• 136

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 124

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

• TemelBeceri Seviyesi
• 4.5+
• 118

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

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 98

Analyze grocery store data to identify shopping patterns and preferences.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 87

Compare life expectancy across countries and genders with ggplot2.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 79

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

• TemelBeceri Seviyesi
• 3.9+
• 60

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