Practical Data Analysis and Visualization with Python

Online Course

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

What is the course about?

Practical Data Analysis and Visualization with Python
The course Practical Data Analysis and Visualization 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.

Data Analytics, Visualization and Data Science for Everyone. Build Machine Learning Models to Solve Day-to-Day Problems

Course description
  • Practical Data Analysis and Visualization with Python
  • Understand the logic behind machine learning models without strain
  • Build forecasting models with machine learning
  • Analyze customer satisfaction
  • Analyze bank statements
  • Classify images
  • A working computer and endless source of caffeine
  • Windows, Mac or Linux
  • 4.5 hours on-demand video
  • 31 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Bekzod Ruzmetov
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Prerequisites & Facts

Practical Data Analysis and Visualization with Python

Course Topic

Personal Development, Personal Transformation

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

Practical Data Analysis and Visualization 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
Practical Data Analysis and Visualization with Python
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Reviews

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School: Udemy
Topic: Business, Data Analysis, Data Analytics

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