This two-day, role-specific course introduces participants to the advanced analytic capabilities provided by the
Snowflake AI Data Cloud. Participants learn to employ these analytical capabilities to derive deeper insights,
discover patterns, and pinpoint trends. This course will provide participants with the skills to begin accessing
information that supports a more predictive approach to identifying what could happen instead of only looking
at what has happened. The course consists of lectures, labs, demonstrations, and discussions.

ACQUIRED SKILLS
• Use the advanced analytic capabilities provided in Snowflake to improve decision-making.
• Show quick insights into trends, correlations, and predictions using linear regression.
• Exploit windowing functions to provide eicient query processing and support comparative analysis.
• Manipulate semi-structured data in its raw format to expand analysis capabilities.
• Explain how geospatial data can enhance operational eiciencies, support location-based analysis, and
augment visualizations.
• Perform analysis using algorithms designed for “big data” to facilitate predictive analytics.
• Employ complex query syntax in Snowflake.
• Utilize Streamlit in Snowflake apps for analysis.
• Summarize Snowflake’s LLM and ML capabilities.
• Use a Snowflake Notebook to perform analysis and visualizations using SQL and select Python packages.