Data Wrangling with Python

Online Course

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

What is the course about?

Data Wrangling with Python
The course Data Wrangling with 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.

Creating actionable data from raw sources

Course description
  • Data Wrangling with Python
  • Use and manipulate complex and simple data structures
  • Harness the full potential of DataFrames and numpy .array at run time
  • Perform web scraping with BeautifulSoup4 and html5lib
  • Execute advanced string search and manipulation with RegEX
  • Handle outliers and perform data imputation with Pandas
  • Although this course is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have a rudimentary knowledge of relational database and SQL.
  • 3.5 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

Data Wrangling with Python

Course Topic

Career Development, Personal Development

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 Wrangling with 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.
Udemy
Data Wrangling with Python
provided by Udemy
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Reviews

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School: Udemy
Topic: Data Science, Development, Python

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