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

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• 4.2+
• 1,797 समीक्षाएँ

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

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• 4.3+
• 1,945 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.2+
• 2,468 समीक्षाएँ

Chart electric vehicle charging trends to inform strategic planning.

• मध्यमकौशल स्तर
• 4.0+
• 1,295 समीक्षाएँ

Build models predicting customer churn for Indian telecom customers.

• मध्यमकौशल स्तर
• 3.9+
• 1,242 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.2+
• 913 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.0+
• 1,248 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.0+
• 369 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.3+
• 499 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.4+
• 293 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.4+
• 903 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.4+
• 513 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.4+
• 439 समीक्षाएँ

Analyze grocery store data to identify shopping patterns and preferences.

• बुनियादीकौशल स्तर
• 4.3+
• 465 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.5+
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Compare life expectancy across countries and genders with ggplot2.

• मध्यमकौशल स्तर
• 4.5+
• 289 समीक्षाएँ

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