Apache Spark 2.1 for Machine Learning and Data Science on Mar 7 in Academy X Computer Lab - San Francisco

Mar 07 - Mar 09 in San Francisco

1 Class Overview

2 Register

3 Payment

4 Summary

5 Confirmation

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

Previous Step: Class Overview

Mar 07 - Mar 09 in San Francisco

1 Class Overview

2 Register

3 Payment

4 Summary

5 Confirmation

What is the price for this training?

$ 2500.00 USD

Regular Price

Credit cards and purchase orders

When is this training taking place?

Tuesday, March 7, 2017

9:00:00 AM - 5:00:00 PM

Wednesday, March 8, 2017

9:00:00 AM - 5:00:00 PM

Thursday, March 9, 2017

9:00:00 AM - 5:00:00 PM

Is this class confirmed to run?

This class is not yet confirmed but it will most likely run. Your registration may help us confirm this class.

About Class Confirmation

How are the days structured?

Typically we divide the training days into four sessions. Two sessions before lunch, and two sessions after lunch. Between any two sessions, we take a break. Short 15-minute breaks in the morning and the afternoon, and usually an hour-long lunch-break.

The last hour is usually reserved for questions and answers.

Attendees are encouraged to arrive at least 20 minutes early on the first day of the class and 15 minutes early for the remainder of the training.

Where is this training taking place?

This training is taking place in Academy X Computer Lab - San Francisco.

601 Montgomery St.
Suite 409
San Francisco, 94111
United States

What is provided for this training?

  • A digital copy of the training materials.

What language is this class taught in?

This class is taught in English.

What am I responsible for?

You are responsible for:

  • Transportation to and from the classroom
  • Arriving to class on time (including from the breaks)
  • Meeting the class prerequisites. See the course page for more info.
  • Bringing a laptop that is set-up correctly for the class.

What is the maximum class size?

This class allows up to 20 participants.

In general, we strive to have an optimal class size, such that:

  • Instructor(s) can provide adequate attention to participants' questions and concerns as well as assist with the lab-work.
  • There are enough participants in the class to create an engaging group-dynamic, which facilitates learning.

Do you have a list of references?

Yes, we have many references. Let us know what would be the best type of company to put you in touch with and we'll ask for permission. Contact us and we'll take care of it.

Who are your instructors?

Our instructors have superb hands-on experience with the technology they teach and many of them are published authors. This gives them the ability to go beyond the curriculum and to illustrate examples inspired by your specific project goals.

Next Step: Register

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