67-335 Introduction to Data Analysis

6–9 units, Carnegie Mellon University

This course teaches the basic techniques and practical skills required to make sense out of a variety of data, with the help of the most acclaimed software tools in the data science world pandas, numpy, scipy, scikitlearn, etc. Thanks to a new set of software tools that allows to easily process and analyze data at scale, we are now able to extract invaluable insights from the vast amount of data generated daily. As a result, both the business and scientific world are undergoing a revolution which is fueled by one of the most sought after job profiles the data scientist.

Prerequisites: none listed

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