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Statistical Modeling for Data science

Become a Master of Core Stats For A Data Science Career.

Instructed by Gulab Chand Tejwani

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  • Inlcudes Real Projects
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  • Understand what a Normal Distribution is
  • difference between continuous and discrete variables
  • Apply Hypothesis Testing for Means
  • Use the Z-Score and Z-Tables
  • Understand standard deviations
  • what a sampling distribution is

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!

  • Interest in Learning Statistical Modelling
  • People working in any numerate field which requires data analysis
  • People carrying out observational or experimental studies
View More...

Section 1 : Distribution

  • Lecture 1 :
  • Lecture 2 :
  • Continues and Discrete Variables
  • Lecture 3 :
  • what is Distribution
  • Lecture 4 :
  • What is standard Deviation?
  • Lecture 5 :
  • Skewness
  • Lecture 6 :
  • Kurtosis
  • Lecture 7 :
  • Mean, Median, Mode and Range

Section 2 : Central Limit Theorem

  • Lecture 1 :
  • What is populations and samples
  • Lecture 2 :
  • sampling distribution
  • Lecture 3 :
  • Law of Large Numbers
  • Lecture 4 :
  • Central Limit Theorem
  • Lecture 5 :
  • Z-Score

Section 3 : 5 Number Summary

  • Lecture 1 :
  • 5 Number Summary
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