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Data Science Bootcamp

at General Assembly - Online

(2602)
Course Details
Price:
$250
Start Date:

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Location:
Online
GA Washington D.C. (Remote Online)
Washington, District of Columbia
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Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 20
Teacher: Bryce Peake

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:

Explore one of the most promising and in-demand career paths for skilled professionals.

Basic business intelligence was once the gold standard in generating insights to drive important business decisions. In the information age, the amount of data available to businesses is nearly surpassing our ability to store, access, and analyze the results in an efficient manner.

Data science is emerging as a discipline to help take business intelligence to the next level by making it easier to harness large amounts of data, make accurate predictions, and create data-driven recommendations. Also, Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals.

The goal of this bootcamp is to give you a taste of data science. We will define what data science is and introduce the data scientist's toolset through examples and case studies. By the end of this session, you will be able to phrase problems in data science terms, approach the solution in a structured and rigorous manner, and understand how data visualization can help convey uncovered insights.

Takeaways

A Data Science Overview

  • Explain the field of data science, defining common roles, benefits, and trends
  • Recognize the different types of problems that can be solved by data scientists

The Data Analytics Workflow

  • Discuss common statistical models and their uses
  • Define the standard lifecycle of a Data Science project

The Data Science Toolset

  • Explore some popular tools and resources to visualize, analyze, and model data
  • Identify key elements of the Data Engineering Technical Stack
  • Use Data Visualization as a tool in Exploratory Data Analysis

Preparation

  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.
  • This course will occur completely online using Zoom and Slack.
  • Course set up information will be emailed to all students signed up around 24 hours before (and again an hour before) your course launches.
  • Each individual course participant must have purchased a ticket

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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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Registered students will be notified 48 hours in advance of this program with information on how to log in to the Zoom webinar and Slack messaging apps.

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This class isn't on the schedule at the moment, but save it to your Wish List to find out when it comes back!

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Questions & Answers (1)

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Question from anonymous
I'm looking for a bootcamp targeted at teaching Python for Machine Learning. Is this the right class for me?
Answer from Angela R. CourseHorse StaffCourseHorse Staff
Hi, Thank you for your interest in this class. If you are interested in Machine Learning, then Data Science Bootcamp Using Python offers the following takeaways: * Understand the field of data science, defining common roles, benefits, and trends. * Review common statistical models and their uses * Explore some popular tools and resources to visualize, analyze, and model data * Experience performing common data science methods with Python Please note that this class is available to all levels so the first and second point may appear basic if you have intermediate or advanced knowledge with Python.
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Data Science Bootcamp
Reviewed by Joseph C. on 9/23/2018
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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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