load-gif

Invest in Yourself: Start Learning Now!

Statistical Modeling for Data science

Become a master of Core Stats For A Data Science Career. Master Statistical modeling and Many More

Includes

  • course Chapters: 16
  • course Total Hours: 01:12 Hours

Features

  • course Full lifetime access
  • course Access on mobile
  • course Assignments
  • course Certificate of Completion
Overview
Course Description

On the off chance that you are going for a profession as a Data Scientist or Business Analyst at that point looking over your statistics abilities is something you have to do.

In any case, it's only difficult to begin... Learning/re-adapting ALL of details just appears like an overwhelming undertaking.

That is precisely why we have made this course!

Here you will rapidly get the significant details learning for a Data Scientist or Analyst.

This isn't simply one more exhausting course on details.

This course is exceptionally pragmatic.

I have particularly included true models of business difficulties to demonstrate to you how you could apply this learning to help your vocation.

In the meantime you will ace points, for example, dispersions, the z-test, the Central Limit Theorem, theory testing, certainty interims, measurable criticalness and some more!

So what are you sitting tight for?

Select now and enable your profession!

Who this course is for:

  • People working in any numerate field which requires data analysis
  • People carrying out observational or experimental studies
  • Any one who want to make career in Data Science

What you'll learn

  • Understand what a Normal Distribution is
  • Apply Hypothesis Testing for Means
  • Understand standard deviations
  • Apply the Central Limit Theorem
  • Difference between continuous and discrete variables
  • Use the Z-Score and Z-Tables
  • what a sampling distribution is

Requirements

  • Interest in Learning Statistical Modelling
  • Just a basic knowledge of high school maths
  • People working in any numerate field which requires data analysis
  • People carrying out observational or experimental studies
  • Any one who want to make career in Data Science
Course Content
16 Lessons | 01:12 Hours
About the instructor
4.5 Instructor Rating
course

1 Courses