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Conducting Exploratory Data Analysis of Nobel Prizes Course - Online Learning with Certificate
python

Conducting Exploratory Data Analysis of Nobel Prizes

Edoardo Cantagallo

4.5

Python

6 Chapters

1 Studying now

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

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python

Conducting Exploratory Data Analysis of Nobel Prizes

INTERMEDIATE

4.5

#python

Author: Edoardo Cantagallo

Course description

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

Ratings & reviews

4.5 (4)

4.5out of 5

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4 ratings

Joshua S.

323 days ago

Part 5 took a lot of work to figure out. I guess OK if I can continue recoding. The output was strange for earliest female winners, and I wondered whether min() was selecting the minimum year and finding no one, or the minimum value. With no hints took quite a while, a lot more than an hour to get it to run satisfactorily. Again, a sphinxlike response for test--I showed 69 lines of code, not 67. Have no idea what this means. Show more

a b.

359 days ago

c...

John S.

461 days ago

Good tool...

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Nobel Prizes Dataset

Europe and USA

The Largest Number of Nobel Prizes

Proportion of Females

Motivation Analysis

Extra Statistics

info

Complete all chapters to get certificate

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In this project, we will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes.

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