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RES.6-009 How to Process, Analyze and Visualize Data (MIT)

This course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract meaningful information, use statistical tools, and make visualizations. This was offered as a non-credit course during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
Keywords:
data analysis, hypothesis testing, visualization, Hadoop, Data Mining, MapReduce, ocwc, oec, large datasets, text processing, data cleaning, regression, Graphics and Visualization, statistics
Disciplines:
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More about this material

Material Type:
Online Course
Date Added to MERLOT:
August 6, 2014
Date Modified in MERLOT:
July 16, 2016
Authors:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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