Crack Pandas and NumPy: Python Data Science Made Easy

Online Course

Udemy
Crack Pandas and NumPy: Python Data Science Made Easy

What is the course about?

Crack Pandas and NumPy: Python Data Science Made Easy
The course Crack Pandas and NumPy: Python Data Science Made Easy 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.

Take this essential course on programming in the Internet’s most popular programming language! Beginner friendly.

Course description
  • Crack Pandas and NumPy: Python Data Science Made Easy
  • Code in the Python 3.5 programming language
  • Create and manipulate dataframes with pandas
  • Create NumPy arrays
  • Access to a computer with an Internet connection
  • Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2, pandas 0.19.2 & NumPy 1.12.0
  • You can also download & install these platforms for free online
  • Topics involve intermediate math, so familiarity with university-level math is helpful
  • 26.5 hours on-demand video
  • 3 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Mammoth Interactive

Prerequisites & Facts

Crack Pandas and NumPy: Python Data Science Made Easy

Course Topic

Development, Odoo, Web Development

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

Crack Pandas and NumPy: Python Data Science Made Easy

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
Crack Pandas and NumPy: Python Data Science Made Easy
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Python