Exploratory Data Analysis with Pandas and Python 3.x

Online Course

Udemy

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Exploratory Data Analysis with Pandas and Python 3.x

The course Exploratory Data Analysis with Pandas and Python 3.x is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Extract and transform your data to gain valuable insights

Course description

Exploratory Data Analysis with Pandas and Python 3.x

Improve your understanding of descriptive statistics and apply them over a dataset.
Learn how to deal with missing data and outliers to resolve data inconsistencies.
Explore various visualization techniques for bivariate and multivariate analysis.
Enhance your programming skills and master data exploration and visualization in Python.
Learn multidimensional analysis and reduction techniques.

Basic Python programming experience required.

5 hours on-demand video
1 downloadable resource
Full lifetime access
Access on mobile and TV
Certificate of Completion
Packt Publishing

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Prerequisites & Facts

Exploratory Data Analysis with Pandas and Python 3.x

Course Topic

Databases, Development, Hadoop

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Exploratory Data Analysis with Pandas and Python 3.x

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Exploratory Data Analysis with Pandas and Python 3.x

provided by Udemy

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School: Udemy

Topic: Data Analysis, Development, Programming Languages

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