Thinking Like a Data Scientist

Washington, D.C. campuses

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Past Locations for this Class

Thinking Like a Data Scientist

Washington, D.C.

Washington, D.C. campuses

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Past Locations for this Class

About this class

More than a just a buzzword, Data Science is a way of thinking about the world around you. In this class, we'll be introducing the basic workflow of Data Scientists and how Python fits into that workflow. We will concentrate on the first steps in the Data Science workflow: defining your question (and thinking about the data you need!) and using Python to begin to explore and clean your data. Note: We will not get into machine learning. This class is more to get your feet wet with Data Science. It could be a useful introduction for those thinking about enrolling in the Data Science class at General Assembly.

Takeaways

  • A broad understanding of the Data Science mindset and workflow

  • Defining the question you want to answer

  • Thinking about data you need

  • Reading data into Python

  • Basic data cleaning and exploration with Python

Prereqs & Preparation

Some knowledge of Python (or another programming language) is useful, but not necessary. If you do not have a version of Python on your computer, please install the Anaconda distribution of Python 2.7.

https://store.continuum.io/cshop/anaconda/

If you have already installed Python 2.7, please install the "pandas" package as well as an IDE of your choosing (I'll be using Spyder).

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