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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 |
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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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