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Introduction to Data Science: Demystified

  • Beginner
  • 18 and older
  • $40
  • 444 N Wabash Ave, Chicago, IL

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  • $40
  • General Assembly Ch @ Rent 24 @ 444 N Wabash Ave 5th Fl, Chicago, IL 60611

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Class Description

Description

What you'll learn in this data science course:

In the last couple of years, the term data science is increasingly used to describe advanced analytical methods that can extract business value from data. While many of these methods are decades old, have solid foundations in the fields of statistics and computer science (e.g. machine learning, data visualization) and can unarguably provide tremendous business value, there is a fair amount of hype, abuse of terms (especially related to “big data”) and misunderstanding of data science both in the media and in the business and tech community. 

This talk will help anyone with interest in data science, but especially business and tech leaders (startup co-founders, CEOs, CTOs, analytics executives, product managers etc.) get a more realistic picture of data science, set the right expectations for data science projects and learn where to focus on in order to succeed in extracting business value from data. 

First, we will review the main components of the data analysis process (business understanding, data acquisition, exploratory data analysis, data cleaning, statistical modeling, model validation, deployment, communication of results) and we will discuss some of the most common pitfalls. 

Next we will review some and the tools that are commonly used to perform the tasks of data analysis, we will discuss what are the skills to look for when you hire a data scientist, and we will talk about organizational structures that make data science projects most effective. Finally, we will close the session with Q&A (we will reserve plenty of time for questions, so that participants can get information personalized to their needs).

Takeaways
  • Get a more realistic picture of how data science can help your business
  • Learn what are the main tasks in the process of analyzing data
  • Learn the most common pitfalls in data science projects
  • Learn what are the software tools commonly used for data analysis
  • Learn about the most important factors to look for when you are building a data science team
Prereqs & Preparation
To benefit the most, attendees are expected to have some basic business, technical and analytical knowledge.

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.

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.


In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

Reviews of Classes at General Assembly (2,637)

(4.3-star rating across 2,637 reviews)
  • Introduction to Data Science: Demystified

    Anonymous review on 3/4/2016
    The class was very tecnical and very informative.
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