Snowflake Advanced Training

Mar 2 - Mar 4 Virtual Classroom (EMEA/GMT)

SNOWFLAKE DATA SCIENCE TRAINING NOW AVAILABLE ➤  Register for the first public class April 20th and get 10% off using the code: DataScience_10pct_public  ➤ Request private Data Science training for your team using the form HERE.  COVID-19 UPDATES ➤   Instructor-led classes will be delivered via virtual classroom only.  

Snowflake Advanced Training on Mar 2 Virtual Classroom (EMEA/GMT)

Thank you for your interest in Snowflake Advanced Training scheduled to begin on March 2. See the event details and complete the registration form below to reserve your seat!

Snowflake Advanced Training

Mar 2 GMT in Virtual Classroom (EMEA/GMT)

This class is no longer accepting new registrations. We encourage you to view other dates on our public schedule.

Where is this training taking place?

This training is taking place in Virtual Classroom (EMEA/GMT).

**Zoom Web Conferencing

When is this training taking place?

This class is confirmed to run over the following day(s):
Tuesday, March 2, 2021 9:00 AM - 5:00 PM
Wednesday, March 3, 2021 9:00 AM - 5:00 PM
Thursday, March 4, 2021 9:00 AM - 5:00 PM

All times are based on the following time-zone: Greenwich Mean Time

What language is this class taught in?

This class is taught in English.

What is the price for this training?

This training is priced at $ 2400.00 USD per participant.

We accept payments by credit card (VISA, MasterCard, American Express, and Discover Card) through our online shopping cart.

**Can't pay by credit card? Contact your Snowflake account representative or for purchase order/invoicing options.


How is this training usually structured?

Snowflake Instructor-Led Training is typically runs in 8-hour daily sessions with 15-20 minute breaks in both the morning and afternoon. The class will also break for approximately 1-hour around noon for lunch.

Our instructors may adjust the break periods to allow for attendee questions, lab time and/or demonstrations. 

Should you need to arrive late, leave early or step out of class, please notify your instructor to discuss topics that may be missed. 

What is the maximum class size?

This class allows up to 16 participants.