Crash course: Data analytics in Python using Pandas

Online Course

Udemy
Crash course: Data analytics in Python using Pandas

What is the course about?

Crash course: Data analytics in Python using Pandas
The course Crash course: Data analytics in Python using Pandas 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.
Let’s get to grips with the Python Pandas library for data analytics / analysis
Course description
  • Crash course: Data analytics in Python using Pandas
  • Perform data analysis with the Pandas library
  • Learn about dataframes and how to conduct data analysis in Python
  • Understand how to handle missing values in your data
  • Understand how to handle & clean up messy data
  • Basic Python – from my FREE No Nonsense Python Course
  • The Pandas library should be installed – which you can do using ‘pip install python’
  • Python should already be installed
  • 1 hour on-demand video
  • 1 article
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Kieran Keene
Crash course: Data analytics in Python using Pandas

Prerequisites & Facts

Crash course: Data analytics in Python using Pandas

Course Topic

Data Science, Development, Python

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

Degree & Cost

Crash course: Data analytics in Python using Pandas

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.
Crash course: Data analytics in Python using Pandas
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Python
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