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Exploratory Data Analysis With Python and Pandas

In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Length 2 weeks
Effort 2 hours
Starts Dec 7 (7 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Bassim Eledath
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Dec 7 (7 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Bassim Eledath
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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