Master Statistical Models for Data Science Success

Statistical Modeling for Data science

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

Created by : Rated :4.6 35196 views

Last Updated: 2024-11-15 11:11:17 English Course Type: Self Learning

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

Section 1 : Distribution 7 Lectures 00:34:50
Lecture 1 :
Introduction Preview
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 5 Lectures 00:24:05
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 1 Lectures 00:05:39
Lecture 1 :
5 Number Summary

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Gulab Chand Tejwani,

35196 Course Views

1 Courses

Gulab Chand Tejwani is an independent consultant.He is a Project Management professional (PMP) and Microsoft Certified Trainer (MCT). He has more than 15 years of experience in Microsoft technologies like Aspnet, SharePoint, SQL server and Cloud Computing as well as in Big Data and Hadoop, Mobile App development.He has also worked as technical project manager.