Last Updated : 19 Feb 2025

Snowflake Snowpark Dataframe Programming Course Overview

### Snowflake Snowpark Dataframe Programming Course Overview

Koenig Solutions offers an intensive Snowflake Snowpark Dataframe Programming course designed for IT practitioners familiar with Java, Scala, or Python, and foundational Snowflake knowledge. In just one day, you will master essential Snowpark concepts, including creating and transforming DataFrames, and performing complex operations. The course also covers how to create User-Defined Functions (UDFs) and author stored procedures. Through lectures, demos, and hands-on labs, you'll learn to set up Snowflake connections, apply column operations, and publish results effectively. This course provides both theoretical and practical knowledge, ensuring you can implement robust data solutions in Snowflake.

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Learn More

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Target Audience for Snowflake Snowpark Dataframe Programming

Snowflake Snowpark Dataframe Programming is a one-day course designed for practitioners with basic Java, Scala, or Python skills to build DataFrame solutions in Snowflake, covering key concepts, features, and implementation.

Job Roles and Audience:

Data Engineers
Data Scientists
Data Analysts
Software Developers
Business Intelligence Developers
IT Professionals working with Snowflake
Cloud Engineers
Database Administrators
ETL Developers
Big Data Engineers

Learning Objectives - What you will Learn in this Snowflake Snowpark Dataframe Programming?

Introduction: The Snowflake Snowpark DataFrame Programming course is designed to equip practitioners with essential skills in building DataFrame data solutions on Snowflake. This intensive one-day course covers key concepts, features, and programming constructs through lectures, demos, labs, and discussions.

Learning Objectives and Outcomes:

Understand the Snowpark technical overview and API to start efficiently on Snowflake.
Learn to set up Snowflake connections, including various authentication methods.
Gain knowledge about DataFrames in Snowpark and their execution on Snowflake’s Elastic Compute Engine.
Explore multiple methods to create a DataFrame object and understand schemas, data types, and lazy evaluation.
Apply column operations for data filtering and transformation using scalar functions and operators.
Perform sorting, limiting, and aggregate operations on DataFrames.
Transform semi-structured data within DataFrames.
Differentiate between DataFrame actions and transformations; practice evaluating transformations with actions that return data.
Publish logical DataFrame operations as views and learn to create and append Snowflake tables with DataFrame results.
Write, register, and share user-defined functions (UDFs) in Snowpark.
Author and deploy stored procedures using Python worksheets.

This comprehensive training will provide students with a robust understanding and practical skills to harness