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Course: Statistical Modeling for Data Science

Statistical Modeling for Data Science

  • Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App
About this Course

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!

Basic knowledge
  • Just a basic knowledge of high school math
  • Interest in Learning Statistical Modelling
What you will learn
  • 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
Curriculum
Number of Lecture: 13
Total Duration: 01:04:26
Introduction
  • Introduction  
Distribution
  • Continues and Discrete numbers  
  • Distributioons  
  • What is standard Deviation?  
  • skewness  
  • Kurtosis  
  • Mean, Mode,Median and Range  
Central Limit Theorem
  • What is Populations and sample  
  • Sampling Distribution  
  • Law of large number  
  • Central limit theorom  
  • Z-Socre  
Five Number Summary
  • Five Number Summary  
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