Module 6: Certification Preparation
Exam structure and key topics Practice questions and review sessions
Module 5: Performance Optimization and Security
Best practices for query optimization Ensuring data security and compliance
Module 4: Advanced Data Science Use Cases
Time series forecasting Real-time analytics Sentiment analysis with Snowflake
Module 3: Predictive Analytics and Machine Learning
Building predictive models using Snowflake Integrating with ML libraries like
Module 2: Data Preparation and Transformation
Importing and cleansing data Advanced transformations using SQL and Python
Module 1: Introduction to Snowflake for Data Science
Overview of Snowflake’s Data Cloud Key features for data scientists
