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Level Up: DataFrames in Snowpark

The Level Up—DataFrames in Snowpark module focuses on the essentials and practical applications of DataFrames. It explores their structure and components and describes the process of creating DataFrames from Snowflake tables and performing basic operations.
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Level Up: DataFrames in Snowpark

This course is part of our Level Up: Snowpark and Python Essentials Track for the Level Up Series. Explore the different learning tracks below and take the next step in your Snowflake journey!

Level Up: First Concepts Series

The Level Up First Concepts Series covers Snowflake's origins, architecture, data loading, resource management, ecosystem, account setup, object hierarchy, and backup. It comprises nine bite-sized elearning modules and concludes with a final exam reinforcing key concepts.

Level Up: Performance Series

The Level Up Performance Series comprises two bite-sized modules covering query history, caching, and context within Snowflake Data AI Cloud.

Level Up: Snowpark and Python Essentials

The Level Up Snowpark and Python Essentials comprises eight beginner-friendly courses for developers exploring Snowflake and Python integration. It starts with setting up the Snowpark environment, connecting to Snowflake, and working with DataFrames and Python worksheet, as well as Python User-Defined Functions and native app development basics.

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To view your completion history for all On-Demand Training, Instructor-Led Training (ILT), and Certifications, kindly visit your Learning Transcript (sign-in required).


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Learning Tracks

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Snowflake Education Services includes Instructor-Led Training, SnowPro Certifications, and this online, on-demand educational courses website. Our on-demand courses are branded as "Snowflake University." Snowflake University (aka Uni) offers a badge program called Hands-On Essentials as well as other courses.

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