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Intro to Snowflake for Devs, Data Scientists, Data Engineers

This course introduces learners to Snowflake as a platform for building applications, data pipelines, and AI models and workflows. It takes them from zero Snowflake knowledge all the way to creating user-defined functions, using a Snowflake Cortex LLM function, editing a Streamlit app, and more.

The course unfolds in three parts: First, participants learn to use Snowflake’s core objects such as virtual warehouses, stages, and databases. Then they learn about slightly more advanced objects and features such as time travel, cloning, user-defined functions, and stored procedures. Finally, they’re introduced to Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.

Learners come away equipped to start building with Snowflake and to continue their Snowflake learning journeys. This course is a prerequisite for upcoming Snowflake courses on data engineering, AI, and apps.

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What's inside

Syllabus

Snowflake’s Core Objects and Architecture

After a very brief intro to the course, learners will create a free trial, open a worksheet, and query sample data. They’ll learn about scaling virtual warehouses and create a virtual warehouse to ingest Tasty Bytes data. They’ll learn about stages, databases, schemas, and tables. They’ll manipulate semi-structured data. They’ll also learn about the different Snowflake architectural layers.

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Teaches learners how to use Snowflake features, such as virtual warehouses and databases, to build applications

Develops skills in using Snowflake's advanced capabilities, such as user-defined functions and stored procedures

Provides hands-on labs and interactive materials, which allows learners to apply their knowledge and skills

Taught by Snowflake Northstar, who are recognized for their expertise in the Snowflake platform

Covers core Snowflake objects and architecture, as well as more advanced features such as time travel and cloning

Prerequisites are necessary for this course

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Reviews summary

Solid snowflake introduction for data professionals

According to students, this course provides a comprehensive introduction to Snowflake, highly recommended for data professionals and beginners alike. Learners particularly praise the clear explanations, engaging hands-on labs, and practical examples that solidify understanding of Snowflake’s core objects and architecture. While older feedback noted a desire for deeper dives into advanced topics like AI/ML and application development, recent reviews indicate the instructor has improved and updated the content, making these sections more robust. The course effectively serves as a strong foundation for those looking to build with Snowflake and pursue further specialized learning.

Course has improved in advanced topic coverage and flow.

"I felt some parts, especially on UDFs, could have gone a bit deeper for developers. The pacing was mostly good, but occasionally felt a little fast."

"Found some of the advanced topics, like resource monitors and the VS Code extension, only briefly touched upon."

"Excellent update! I took this course some time ago, and it seems the instructor has added more depth to the AI/ML and app development sections. It's much better now."

"While the basic concepts were covered, I found the course lacked sufficient hands-on challenges to truly solidify understanding. It felt more like a lecture series in some parts."

Tailored content for developers, data scientists, engineers.

"Highly recommend for anyone new to Snowflake or data professionals looking to expand their skills."

"As a data scientist, I found the Snowpark ML and Cortex LLM functions incredibly relevant."

"Good overview of Snowflake for data engineers. The sections on architecture and core objects were very thorough and well-explained."

"It's much better now for working professionals. I appreciate the continuous improvement."

Labs and demos effectively bridge theory with practice.

"The hands-on labs were incredibly useful for understanding the core objects. I appreciated the practical examples for data ingestion."

"Absolutely fantastic! The demos were spot on. It's truly an 'intro' but provides enough to get you started."

"Loved the course! The virtual warehouse setup and Tasty Bytes dataset were excellent for learning."

"The hands-on labs make a huge difference. I particularly enjoyed learning about Time Travel."

Provides a robust understanding of Snowflake's core.

"Excellent introduction to Snowflake. The instructor explains complex concepts clearly, especially virtual warehouses and stages."

"A solid start to Snowflake. Overall, a good foundation for subsequent courses."

"As a complete beginner to Snowflake, I found it super accessible. The examples were very clear, and the instructor was easy to follow."

"The course clearly outlines the main functionalities and architecture. It’s very relevant for anyone in data."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Intro to Snowflake for Devs, Data Scientists, Data Engineers with these activities:

Organize Previous Knowledge

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Organize notes and assignments from previous courses to refresh your knowledge of data management and analysis.

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Gather materials from previous courses
Organize materials by topic
Review your notes and assignments

Practice SQL Queries

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Sharpen your SQL skills by practicing data querying and analysis tasks.

Browse courses on SQL

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Find practice problems or exercises
Practice writing and executing SQL queries
Review your results and identify areas for improvement

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Career center

Learners who complete Intro to Snowflake for Devs, Data Scientists, Data Engineers will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Intro to Snowflake for Devs, Data Scientists, Data Engineers.

The Time Machine - H.G. Wells

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This seminal science fiction novel explores the consequences of time travel and the dangers of altering the past.

Intro to Snowflake for Devs, Data Scientists, Data Engineers

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What's inside

Syllabus

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Reviews summary

Solid snowflake introduction for data professionals

Activities

Career center

Reading list

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