AI, Basic Statistics, Basic Python, Basic R, ML (Overview)

Online Course

Udemy
AI, Basic Statistics, Basic Python, Basic R, ML (Overview)

What is the course about?

AI, Basic Statistics, Basic Python, Basic R, ML (Overview)
The course AI, Basic Statistics, Basic Python, Basic R, ML (Overview) 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 AI world from AI professional

Course description
  • AI, Basic Statistics, Basic Python, Basic R, ML (Overview)
  • 1. Will able to understand the various terms used under umbrella of AI
  • 2. Understand and use Basic Statistics (90% hands on and 10% theory)
  • 3. Can code in Basic Python (90% hands on and 10% theory)
  • 4. Can code in Basic R (90% hands on and 10% theory)
  • 5. Will able to understand the various terms used under umbrella of Machine learning (ML)
  • 1. Passion for Learning 2. Curiosity for AI world
  • 9 hours on-demand video
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Shiv Onkar Deepak Kumar

Prerequisites & Facts

AI, Basic Statistics, Basic Python, Basic R, ML (Overview)

Course Topic

Personal Success, Teacher Training, Teaching & Academics

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

AI, Basic Statistics, Basic Python, Basic R, ML (Overview)

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
AI, Basic Statistics, Basic Python, Basic R, ML (Overview)
provided by Udemy

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School: Udemy
Topic: Artificial Intelligence, Data Science, Development