Description
On this course, we are going to discover the way to wrangle information from various sources and form it to allow data-driven functions. Some information scientists spend the majority of their time doing this!
College students will learn to collect and extract information from extensively used information codecs. They’ll learn to assess the standard of knowledge and discover finest practices for information cleansing. We will even introduce college students to MongoDB, overlaying the necessities of storing information and the MongoDB question language collectively with exploratory evaluation utilizing the MongoDB aggregation framework.
It is a nice course for these fascinated by entry-level information science positions in addition to present enterprise/information analysts wanting so as to add large information to their repertoire, and managers working with information professionals or seeking to leverage large information.
This course can be part of our Data Analyst Nanodegree.
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