- Artificial Intelligence and Machine Learning (AI/ML)
- Data Pipelines
- Generative AI
- Data Manipulation
- Cloud Development
- Data Warehousing
- Machine Learning
- Data Engineering
- Extract, Transform, Load
- SQL
- Application Development
- Database Management
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Completed by Hongzhao Tan
September 17, 2024
10 hours (approximately)
Hongzhao Tan's account is verified. Coursera certifies their successful completion of Intro to Snowflake for Devs, Data Scientists, Data Engineers
What you will learn
Create and manipulate Snowflake's core objects, such as virtual warehouses, databases, schemas, tables, and stages.
Use important Snowflake features and objects, such as time travel, cloning, resources monitors, UDFs, stored procedures, and Snowpark DataFrames.
Understand the basics of Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.
Skills you will gain
