Projekt
Exploring Londons Travel Network
- BeginnerSkill Level
- 4.2+
- 1.5K
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Data Engineering, Explorative Datenanalyse, Data Warehouse
Projekte
Lösen Sie reale ProblemeIn Projekten kannst du deine Fähigkeiten mit Tools wie Data Notebooks anwenden und eine Datenanalyse von Anfang bis Ende durchführen.
- Selbstständig programmieren lernen
- Erstelle dein eigenes Portfolio
- Sammle Erfahrungen aus der Praxis
Projekte durchsuchen
8 Projekte
Projekt
Building a Retail Data Pipeline
- IntermediateSkill Level
- 3.8+
- 1.5K
Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!
Programmierung mit Python, Datenmanipulation, Data Engineering
Projekt
Performing a Code Review
- IntermediateSkill Level
- 4.1+
- 985
Review a data analysis workflow for adherence to Python standards and best-practices.
Softwareentwicklung, Data Engineering
Projekt
Factors that Fuel Student Performance
- IntermediateSkill Level
- 3.9+
- 693
Use SQL to analyze a database containing information about Student performance!
Explorative Datenanalyse, Data Engineering
Projekt
Cleaning an Orders Dataset with PySpark
- AdvancedSkill Level
- 4.2+
- 536
Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!
Data Engineering, Datenaufbereitung
Projekt
Exploring Londons Travel Network
- BeginnerSkill Level
- 4.3+
- 370
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Data Engineering, Data Warehouse, Explorative Datenanalyse
Projekt
Exploring Londons Travel Network
- BeginnerSkill Level
- 4.3+
- 366
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Data Engineering, Data Warehouse
Projekt
Exploring Londons Travel Network
- BeginnerSkill Level
- 4.3+
- 184
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Data Engineering, Data Warehouse
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