- Data Transformation
- Data Pipelines
- SQL
- Data Import/Export
- Data Cleansing
- Looker (Software)
- Data Visualization Software
- Extract, Transform, Load
- Data Analysis
- Google Cloud Platform
- Big Data
- Google Sheets
BigQuery for Data Analysts
Completed by Raul Mihai Popa
September 16, 2024
12 hours (approximately)
Raul Mihai Popa's account is verified. Coursera certifies their successful completion of BigQuery for Data Analysts
What you will learn
Learn the purpose and value of BigQuery, Google Cloud’s enterprise data warehouse, and discuss its data analytics features.
Analyze, Clean and transform your data in BigQuery with SQL.
Ingest new BigQuery datasets, and use Connected Sheets and Looker Studio to visualize data insights from BigQuery.
Use Dataform to develop scalable data transformation pipelines in BigQuery.
Skills you will gain
