Data Cleaning in Python

Online Course

Udemy
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Data Cleaning in Python
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Data Cleaning in Python
The course Data Cleaning in Python 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.

Preprocessing, structuring and normalizing data

Course description
  • Data Cleaning in Python
  • Data cleaning or cleansing as a preprocessing step towards making the data more consistent and high quality before training predictive models.
  • Basics of Python
  • 4 hours on-demand video
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Taimoor khan
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Prerequisites & Facts

Data Cleaning in Python

Course Topic

Amazon FBA, Finance & Accounting, Money Management Tools

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

Data Cleaning in Python

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.
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Data Cleaning in Python
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Reviews

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Here you can find information, reviews and user experiences for the course “Data Cleaning in Python“. The provider of the course – “Udemy” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: Udemy
Topic: Data Cleaning, Teaching & Academics

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