Exploratory Data Analysis
Exploratory data analysis is the essential part when talking about data science. The data scientist has many tasks, including finding data patterns, analyzing data, finding the appropriate trends in the data and obtaining valuable insights, etc., from them with the help of various graphical and statistical methods, including:
A) Data Analysis using Pandas and Numpy
B) Data Manipulation
C) Data Visualization
- Intro To EDA By Code Heroku’s (Recommended)
- Blog — Performing EDA on Iris Data Set (Recommended)
- Coursera Course On EDA, Statistics, Probability
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A Guide On How To Become A Data Scientist (Step By Step Approach) - KDnuggets
kdnuggets.com
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