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Data Science for Beginners

at General Assembly - Downtown

(2579)
Course Details
Price:
$60
Start Date:

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Location:
Downtown
1218 Third Ave 3rd Fl
Btwn University & Seneca Streets
Seattle, Washington 98101
(Map)
Important:
A computer will not be provided
Description
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 20
Teacher: Arezu Moussavi

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data science course:

We all know that knowledge is power, and with technology spreading its wings to every aspect of business, we can, for the first time, collect exceptional amounts of data. But what do we do with that data, and how can it help our business? 

This class aims to demystify data science by giving a practical and simple approach to the core concepts of data analysis. Prepare to dip your toes into an ocean of new concepts and ideas that will inspire you to view data, and the data you collect, differently.

Takeaways
In this 3-hour class, you will:
  • Discover what the field of Data Science encompasses and the key traits of a successful data scientist
  • Understand the different types of data, and their usecases
  • Understand the data mining workflow
Preparation
None.

School Notes:
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.

Still have questions? Ask the community.

Refund Policy
If you can't make it to a class/workshop, please email us at [email protected] at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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School: General Assembly

General Assembly

General Assembly is a pioneer in education and career transformation, specializing in today’s most in-demand skills. The leading source for training, staffing, and career transitions, we foster a flourishing community of professionals pursuing careers they love.

What began as a co-working space in...

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