Books, Exploratory Data Analysis and Hypothesis Testing

Mastering Exploratory Data Analysis (EDA): A comprehensive guide

Data Science Dojo

JANUARY 22, 2023

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. We will also be sharing code snippets so you can try out different analysis techniques yourself. EDA is an iterative process of conglomerative activities which include data cleaning, manipulation and visualization.

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How To Learn Python For Data Science?

Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). These concepts help you analyse and interpret data effectively. Books and Tutorials Books and tutorials are valuable resources for in-depth, self-paced learning.

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Mastering Exploratory Data Analysis (EDA): A comprehensive guide

How To Learn Python For Data Science?

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