Complete Guide to NumPy and Pandas

Online Course

Udemy
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Complete Guide to NumPy and Pandas
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Complete Guide to NumPy and Pandas
The course Complete Guide to NumPy and 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.

Learn Pandas, Powerful Data Analysis with Python Library in an engaging and exciting way

Course description
  • Complete Guide to NumPy and Pandas
  • Learn how to read different kinds of data into Pandas Data frames for data analysis & Manipulate, transform and apply formulas on the data imported into the pandas data frames.
  • Find out how to create and slice data arrays using NumPy.
  • Deep Dive into handling missing data in a Pandas DataFrame.
  • Working with panel objects and attributes.
  • Master the use of Pandas Line Plot.
  • Basic programming experience in Python is required.
  • 6 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

Complete Guide to NumPy and Pandas

Course Topic

Automation, Business, Home Business

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

Complete Guide to NumPy and 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.
Udemy
Complete Guide to NumPy and Pandas
provided by Udemy
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Reviews

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School: Udemy
Topic: Development, Pandas, Programming Languages

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