Statistics for Data Science and Business Analysis

Online Course

Udemy
Statistics for Data Science and Business Analysis

What is the course about?

Statistics for Data Science and Business Analysis
The course Statistics for Data Science and Business Analysis 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.

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

Course description
  • Statistics for Data Science and Business Analysis
  • Understand the fundamentals of statistics
  • Learn how to work with different types of data
  • How to plot different types of data
  • Calculate the measures of central tendency, asymmetry, and variability
  • Calculate correlation and covariance
  • Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
  • A willingness to learn and practice
  • 5 hours on-demand video
  • 28 articles
  • 98 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • 365 Careers

Prerequisites & Facts

Statistics for Data Science and Business Analysis

Course Topic

Career Development, Personal 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

Statistics for Data Science and Business Analysis

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
Statistics for Data Science and Business Analysis
provided by Udemy

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School: Udemy
Topic: Business Analytics, Data Science, Development