• बुनियादीकौशल स्तर
• 4.4+
• 10,416 समीक्षाएँ

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• मध्यमकौशल स्तर
• 4.2+
• 4,162 समीक्षाएँ

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

• मध्यमकौशल स्तर
• 4.2+
• 5,226 समीक्षाएँ

Review a data analysis workflow for adherence to Python standards and best-practices.

• मध्यमकौशल स्तर
• 4.5+
• 4,673 समीक्षाएँ

Use SQL to analyze a database containing information about Student performance!

• बुनियादीकौशल स्तर
• 4.5+
• 1,252 समीक्षाएँ

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• उन्नतकौशल स्तर
• 4.4+
• 1,194 समीक्षाएँ

Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!

• बुनियादीकौशल स्तर
• 4.5+
• 1,759 समीक्षाएँ

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• मध्यमकौशल स्तर
• 4.3+
• 545 समीक्षाएँ

Powering Data for the Department of Energy - Building an ETL Pipeline

• बुनियादीकौशल स्तर
• 4.5+
• 800 समीक्षाएँ

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!