Snowflake Reviews on Courses, Pricing, Features & Career Impact
About Snowflake
Snowflake is a leading cloud-based data warehousing platform designed to store, process, and analyze large amounts of data efficiently. It offers a robust solution for data storage, processing, and analysis. The platform also offers a comprehensive online learning platform with flexible learning options such as online courses, certifications, foundational training, and advanced workshops. Participants can learn through hands-on labs and interactive exercises and receive real-time feedback.
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Provider Name |
Snowflake |
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Established In |
2012 |
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Official Website |
https://learn.snowflake.com/en/courses/ |
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Founded By |
Benoît Dageville, Thierry Cruanes |
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Popular For |
Cloud Computing and Snowflake Architecture, Data Modeling and ETL Processes and SQL and Query Performance Tuning |
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Top Courses at Kaggle |
Commonly asked questions On Highlights
Each registration at Snowflake Education Services requires a full exam fee, including retakes. The certification and recertification exam fees at Snowflake are as mentioned below, per attempt:
Core Certification exam: US$175
Core Recertification exam: US$88
Advanced Certification exam: US$375
Advanced Recertification exam: US$188
Generally, most basic Snowflake courses take 10 - 20 hours to complete, focusing on introductory topics and basic functionality. Advanced courses, especially those covering integration, performance optimization, and data architecture, may take 30 - 50 hours or more.
Snowflake online courses cover skills like -
- Data Loading: Learn how to load and manage data efficiently into Snowflake using various methods like file loading, streaming, and Snowpipe.
- Data Modeling: Understand how to design data structures in Snowflake for optimal performance.
- Query Optimization: Learn how to write efficient queries using Snowflake's SQL syntax.
- Data Sharing: Understand how to share data across organizations without duplicating it securely.
- Scaling and Performance Tuning: Learn how to manage compute resources and optimize costs.
- Security: Learn about Snowflake's security features, such as user roles, access control, and encryption.
- Integration: Learn how to integrate Snowflake with other tools, such as BI platforms, ETL tools, and machine learning frameworks.
Why Choose Snowflake Courses
Listed below are some of the main reasons why one should take up online courses at Snowflake:
- Flexibility: Online courses at Snowflake provide flexibility in terms of scheduling. Learners can study at their own pace and convenience, accommodating busy schedules and varying time zones.
- Career Advancement: Knowledge and certification in Snowflake can open doors to new career opportunities or advancements within current roles, especially in data engineering, analytics, or data science fields.
- Enhanced Skills: Participants can develop practical skills in using Snowflake, including data warehousing, data management, and advanced analytics, which are valuable in today's data-driven business environment.
- Specialized Knowledge: Snowflake courses provide in-depth, specialized knowledge about the Snowflake platform, its architecture, and best practices for implementation and optimization.
- Diverse Learning Formats: Snowflake offers a variety of online learning formats, such as video lectures, interactive modules, quizzes, and forums, catering to different learning preferences and enhancing engagement.
- Certification Opportunities: Many online courses at Snowflake offer certifications upon completion, validating proficiency and enhancing credibility for learners seeking career advancement or professional recognition.
Commonly asked questions
Most introductory Snowflake courses do not require specific prerequisites beyond a basic understanding of SQL and general database concepts. However, familiarity with data warehousing principles, cloud computing, and data engineering practices can be beneficial for more advanced courses. Some courses might recommend prior experience with cloud platforms like AWS, Azure, or Google Cloud.
Snowflake courses have distinct refund policies based on the vendor you purchase it from, and depending upon its platform.
1. Snowflake University:
Return and Refund Policy: The refund policy for courses you purchase through the Services, if any, is listed in a schedule on our website at the time of your order or as noted when buying that course. Display all course terms: Review these before enrolling in a class! Refunds Snowflake University will provide a refund for technical reasons, problems with the content of courses or other special circumstances, but they are given on a case-by-case basis.
2. Third-Party Platforms:
On Coursera, Udemy, LinkedIn Learning etc.: there are different policies with each third-party platform purchased from;
If you are unsatisfied with a course, Coursera usually allows you to request a refund within two days after subscribing (during this time there was no mention that money can be withdrawn from your account).
Udemy: Udemy has a 30-day money-back guarantee on most courses. If you are not satisifed with the course content or experience, and your purchase is within 30 days of when you request a refund.
LinkedIn Learning (30-day free trial period; additional refund options available based on their terms of service, contact customer support
After finishing a Snowflake online course, you can take up several job roles, such as:
- Data Engineer: You will be responsible for building and managing data pipelines and ensuring proper integration of Snowflake with other platforms.
- Data Analyst: This job will involve analyzing data stored in Snowflake, creating reports, and providing actionable insights for business decisions.
- Cloud Architect: Design and manage cloud data systems, ensuring that Snowflake works efficiently and integrates with other tools.
- Business Intelligence Developer: Develop dashboards and data models using Snowflake, thus supporting organizations in data-driven decisions.
- ETL Developer: Focus on transforming, loading, and moving data from different sources into Snowflake.
- Database Administrator (DBA): Manage the performance and availability of Snowflake databases.
Types of Programs Offered by Snowflake
Snowflake Education Services provides a range of educational offerings, as follows -
Instructor-Led Training: Snowflake Education Services offers instructor-led classes, on-demand courses, and self-directed learning options. These resources are designed to support individuals and teams at various stages of their data initiatives, whether they are new to Snowflake or engaged in advanced data projects. The training is structured so that the course takers gain practical experience.
Certifications: The SnowPro certification program consists of two main tiers: the SnowPro Core and the SnowPro Advanced.
- SnowPro Core Certification: The SnowPro Core Certification is a foundational credential for individuals seeking to demonstrate their expertise in implementing and migrating to the Snowflake platform. This certification validates the course takers' comprehensive understanding of Snowflake's features and capabilities. They learn how to design, develop, and manage secure and scalable solutions within the Snowflake environment.
- SnowPro Advanced Certification: The SnowPro Advanced Certifications assess advanced knowledge and skills related to the Snowflake platform. This certification series includes five role-based options: Architect, Data Engineer, Data Scientist, Administrator, and Data Analyst. Each certification is designed for practitioners and requires 1 - 2 years of hands-on work with Snowflake. The exams focus on scenario-based questions that evaluate proficiency in applying Snowflake's features in real-world contexts.
Recertification Exams: Snowflake also conducts recertification exams to maintain your certified SnowPro status. Recertification exams are offered at a reduced price.
Snowflake For Academia: Snowflake offers free access to its data platform, educational resources, and hands-on learning opportunities for students and educators. The program aims to bridge the skills gap in AI, data, and cloud technologies.
Commonly asked questions
The right course depends on your proficiency and objectives. Newcomers may concentrate on the fundamentals and basics of snowflakes. The medium level courses will often focus on some special features and use cases, whereas the ones that are advanced may go into complex scenarios, optimization techniques, as well as advanced features. It is good to review the requirements of courses, descriptions as well as user reviews to make an informed choice.
The formats of Snowflake online courses include such options like interactive lab sessions, live instructor led classes, written resources among others in order to assist with learning across different platforms . Additional forms can be incorporated in certain courses so students get holistic exposure. In other words, you can take flexible time study programs while others are organized in live mode through video tutorials
Selecting the right course depends on your current skill level and learning goals. If you are a beginner, start with introductory courses covering Snowflake's basics and fundamental concepts. Intermediate courses often focus on more specific features and use cases, while advanced courses may delve into complex scenarios, optimization techniques, and advanced features. Reviewing course descriptions, prerequisites, and user reviews can help you make an informed choice.
Trending Programs by Snowflake
As of April 2025, Snowflake launched three courses, as mentioned below -
Snowflake Snowpark Application Developer Training
Snowflake Snowpark Application Developer Training focuses on the key features of Snowpark for developing applications within the Snowflake environment. It is intended for professionals building Snowpark application solutions. The course emphasizes developer capabilities rather than core programming skills and includes lectures, demonstrations, hands-on labs, and discussions.
Duration: 1 Day
Prerequisites
- Completion of "Snowpark DataFrame Programming" or equivalent knowledge of DataFrame programming, including PySpark, UDFs, and stored procedures.
- Familiarity with Snowflake accounts, roles, virtual warehouses, and database objects.
- Experience with data warehousing and Python programming.
- Basic knowledge of SQL and Snowflake objects.
Skills Acquired
- Understanding and using Snowflake’s notebook features.
- Creating and working with Snowflake Notebooks.
- Developing reusable code with User-Defined Table Functions (UDTFs).
- Managing tables using Data Manipulation Language (DML).
- Solving problems using Python Worksheets in Snowsight.
- Logging activities for Snowflake programs.
- Utilizing pandas within Snowflake.
- Processing unstructured data through User-Defined Functions (UDFs) and stored procedures.
Who Should Attend
- Data Engineers
- Data Scientists
- Application Developers
- Database Architects and Administrators
- Data Analysts with programming experience
Snowflake GenAI Training
Snowflake GenAI Training offers an introduction to the Generative AI (GenAI) capabilities within Snowflake. The course enables learners to integrate GenAI features into their analytical workflows.
Prerequisites
- Basic SQL knowledge.
- Foundational understanding of databases.
- Completion of the "Snowflake Foundations" course or equivalent knowledge.
- Completion of relevant on-demand modules, such as "Snowflake x GenAI: A Cool Collab" and "Snowflake x GenAI: LLM Functions."
Skills Acquired
- Summarizing Snowflake’s GenAI capabilities for enterprise applications.
- Using Snowflake Cortex tools such as Document AI, Copilot, Cortex Analyst, and Cortex Search.
- Understanding enterprise AI governance considerations.
- Applying best practices for GenAI implementation and cost management.
Who Should Attend
- Administrators
- Application Developers
- Data Analysts
- Data Engineers and Scientists
- Snowflake users seeking to adopt GenAI capabilities
Snowflake Well-Architected Training
This on-demand course enables individuals to fully understand the Snowflake Well-Architected Framework (WAF). It focuses on laying a roadmap for continuous improvement of the Snowflake AI Data Cloud.
Prerequisites
- Basic knowledge of the Snowflake AI Data Cloud and its platform capabilities.
- Familiarity with data architecture, governance, and management principles.
- Experience with cloud computing and data platform architectures.
- Knowledge of hyperscaler well-architected frameworks applicable to the organization.
Skills Acquired
- Understanding the purpose, structure, and six pillars of the Snowflake Well-Architected Framework.
- Conducting assessments using WAF methodology and tools.
- Developing actionable improvement plans based on WAF reviews.
- Effectively communicating WAF outcomes to stakeholders, including C-level executives.
- Aligning WAF findings with organizational data strategies and goals.
- Establishing a regular review cadence for ongoing improvements.
Who Should Attend
- C suite (e.g., CIOs, CDOs, CTOs)
- Data and analytics management professionals
- Enterprise and solution architects
- Data professionals (e.g., Data Engineers, Data Scientists, DevOps Engineers)
- Strategic consultants with expertise in well-architected frameworks
Commonly asked questions
Snowflake university is an official training platform provided by Snowflake Company that offers a variety of programs and certifications. There are also paid and free materials for studying comprising self-paced modules, live classes facilitated by instructors, plus exercise labs where you gain practical experience with the product. These range from introductory to more advanced levels including SnowPro Core or SnowPro Advanced for those who want to authenticate their expertise.
SnowflakePros and Cons of Snowflake
Commonly asked questions On Others
Snowflake courses have distinct refund policies based on the vendor you purchase it from, and depending upon its platform.
1. Snowflake University:
Return and Refund Policy: The refund policy for courses you purchase through the Services, if any, is listed in a schedule on our website at the time of your order or as noted when buying that course. Display all course terms: Review these before enrolling in a class! Refunds Snowflake University will provide a refund for technical reasons, problems with the content of courses or other special circumstances, but they are given on a case-by-case basis.
2. Third-Party Platforms:
On Coursera, Udemy, LinkedIn Learning etc.: there are different policies with each third-party platform purchased from;
If you are unsatisfied with a course, Coursera usually allows you to request a refund within two days after subscribing (during this time there was no mention that money can be withdrawn from your account).
Udemy: Udemy has a 30-day money-back guarantee on most courses. If you are not satisifed with the course content or experience, and your purchase is within 30 days of when you request a refund.
LinkedIn Learning (30-day free trial period; additional refund options available based on their terms of service, contact customer support
Most introductory Snowflake courses do not require specific prerequisites beyond a basic understanding of SQL and general database concepts. However, familiarity with data warehousing principles, cloud computing, and data engineering practices can be beneficial for more advanced courses. Some courses might recommend prior experience with cloud platforms like AWS, Azure, or Google Cloud.
Top Online Courses by Snowflake
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Commonly asked questions
Tp prepare for Snowflake Certification Exams -
Understand the Exam Objectives:
Review Exam Guide: Carefully read the exam guide on Snowflake’s official website. It outlines the major topics, skills and knowledge areas that will be tested during the examination.
Exam Blueprint: The blueprint provides more insight into various aspects of Snowflake that you need to know, such as core concepts, features, and best practices.
Enroll in Official Training Courses:
Snowflake University: You may also consider enrolling in courses offered by Snowflake University. These courses are structured training programs designed to align with the objectives of certification exams. Lectures, hands-on labs, and practice exercises are often part of these classes.
Certification Prep Courses: Seek certification preparation courses dedicated to your target Snowflake exam. In most cases, these focus on topics that would appear in the test and provide practice tests.
Study the Documentation:
Snowflake Documentation: Read Snowflake’s official documentation, a comprehensive resource for understanding every aspect of this platform. Key areas include data warehousing concepts, Snowflake architecture, SQL commands, and advanced features.
Release Notes: Check out Snowflake's release notes, which help you understand recent changes made to it and any new functionalities that might have been added.
Review and Revise Key Topics:
Focus on Weak Areas: Review your progress regularly and focus on areas where you feel less confident. Revisit challenging topics and ensure you understand them thoroughly.
Summarize Notes: Create summary notes or flashcards to revise important concepts, terminology, and best practices quickly.
Candidates sitting for Snowflake certification exams may take the same exam up to a maximum of four times within a period of 12 months. If a candidate doesn't pass on their first try, then they have to wait for a period of 7 calendar days until they attempt it again. Actually, this waiting period is applied after each subsequent attempt. Candidates shall pay the examination fee, corresponding to each examination attempt; examination retakes are not free of cost and not discounted either.
To maintain certification, continuing education is encouraged, and periodic recertification examinations may be required to ensure the currency of skills related to Snowflake technology.
The SnowPro Core Certification validates basic proficiency with the Snowflake platform. It is a challenging certification that requires an in-depth knowledge of Snowflake main features and functionalities. We rate the SnowPro Core Certification 7 on a difficulty level from one to ten.
Preparation Time: We recommend studying for about 15–20 hours.
Snowflake Virtual Hands-on Labs
Snowflake Virtual Hands-on Labs are interactive classes aimed at teaching learners how to use different features of the Snowflake Data Cloud. They are generally instructor-led sessions and allow attendees to follow along in their trial accounts. The attendees can benefit from the real-time expertise of product professionals. Some of the upcoming hands-on labs include -
- Virtual Hands-on Lab: From Queries to Conversations – BI meets AI with Cortex Analyst
- Virtual Hands-on Lab: From Zero to Snowflake in 90 Minutes
- Virtual Hands-on Lab: Build Data Engineering pipelines using Snowpark in Snowflake Notebooks
- Zero to Snowflake
- Build Declarative Streaming Data Pipelines with Dynamic Tables
- Zero to Snowflake in 90 Minutes
- Virtual Hands-on Lab: From Zero to Snowflake in 90 Minutes
- Virtual Hands-on Lab: No-Code Generative AI for Business Insights: Amazon SageMaker Canvas, Amazon Bedrock, and Snowflake in Action
Commonly asked questions On Additional Details 1
The right course depends on your proficiency and objectives. Newcomers may concentrate on the fundamentals and basics of snowflakes. The medium level courses will often focus on some special features and use cases, whereas the ones that are advanced may go into complex scenarios, optimization techniques, as well as advanced features. It is good to review the requirements of courses, descriptions as well as user reviews to make an informed choice.
The formats of Snowflake online courses include such options like interactive lab sessions, live instructor led classes, written resources among others in order to assist with learning across different platforms . Additional forms can be incorporated in certain courses so students get holistic exposure. In other words, you can take flexible time study programs while others are organized in live mode through video tutorials
Selecting the right course depends on your current skill level and learning goals. If you are a beginner, start with introductory courses covering Snowflake's basics and fundamental concepts. Intermediate courses often focus on more specific features and use cases, while advanced courses may delve into complex scenarios, optimization techniques, and advanced features. Reviewing course descriptions, prerequisites, and user reviews can help you make an informed choice.
SnowflakeAdditional details 2
Commonly asked questions On Additional Details 2
Tp prepare for Snowflake Certification Exams -
Understand the Exam Objectives:
Review Exam Guide: Carefully read the exam guide on Snowflake’s official website. It outlines the major topics, skills and knowledge areas that will be tested during the examination.
Exam Blueprint: The blueprint provides more insight into various aspects of Snowflake that you need to know, such as core concepts, features, and best practices.
Enroll in Official Training Courses:
Snowflake University: You may also consider enrolling in courses offered by Snowflake University. These courses are structured training programs designed to align with the objectives of certification exams. Lectures, hands-on labs, and practice exercises are often part of these classes.
Certification Prep Courses: Seek certification preparation courses dedicated to your target Snowflake exam. In most cases, these focus on topics that would appear in the test and provide practice tests.
Study the Documentation:
Snowflake Documentation: Read Snowflake’s official documentation, a comprehensive resource for understanding every aspect of this platform. Key areas include data warehousing concepts, Snowflake architecture, SQL commands, and advanced features.
Release Notes: Check out Snowflake's release notes, which help you understand recent changes made to it and any new functionalities that might have been added.
Review and Revise Key Topics:
Focus on Weak Areas: Review your progress regularly and focus on areas where you feel less confident. Revisit challenging topics and ensure you understand them thoroughly.
Summarize Notes: Create summary notes or flashcards to revise important concepts, terminology, and best practices quickly.
Candidates sitting for Snowflake certification exams may take the same exam up to a maximum of four times within a period of 12 months. If a candidate doesn't pass on their first try, then they have to wait for a period of 7 calendar days until they attempt it again. Actually, this waiting period is applied after each subsequent attempt. Candidates shall pay the examination fee, corresponding to each examination attempt; examination retakes are not free of cost and not discounted either.
To maintain certification, continuing education is encouraged, and periodic recertification examinations may be required to ensure the currency of skills related to Snowflake technology.
The SnowPro Core Certification validates basic proficiency with the Snowflake platform. It is a challenging certification that requires an in-depth knowledge of Snowflake main features and functionalities. We rate the SnowPro Core Certification 7 on a difficulty level from one to ten.
Preparation Time: We recommend studying for about 15–20 hours.
Snowflake FAQs Related To Snowflake
Snowflake university is an official training platform provided by Snowflake Company that offers a variety of programs and certifications. There are also paid and free materials for studying comprising self-paced modules, live classes facilitated by instructors, plus exercise labs where you gain practical experience with the product. These range from introductory to more advanced levels including SnowPro Core or SnowPro Advanced for those who want to authenticate their expertise.
Snowflake
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Updated on Apr 15, 2025
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