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Conducting Exploratory Data Analysis

Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.
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Rating Not enough ratings
Length 2 weeks
Effort 1.5 hours
Starts Jul 17 (43 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor João Vitor Boverio da Silva Gomes
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Algorithms

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Rating Not enough ratings
Length 2 weeks
Effort 1.5 hours
Starts Jul 17 (43 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor João Vitor Boverio da Silva Gomes
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Algorithms

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