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Statistical Modeling for Data science

person icon Gulab Chand Tejwani

4.2

Statistical Modeling for Data science

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

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Gulab Chand Tejwani

English [CC]

category icon Development,Data Science and AI ML,Data Analysis

Lectures -20

Duration -1 hours

4.2

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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!

Goals

  • 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

Prerequisites

  • Just a basic knowledge of high school maths
  • Interest in Learning Statistical Modelling
Statistical Modeling for Data science

Curriculum

Check out the detailed breakdown of what’s inside the course

Distribution
7 Lectures
  • play icon Introduction 01:51 01:51
  • play icon Continues and Discrete Variables 04:30 04:30
  • play icon What is Distribution 10:31 10:31
  • play icon What is standard Deviation? 04:15 04:15
  • play icon Skewness 03:39 03:39
  • play icon Kurtosis 03:34 03:34
  • play icon Mean, Median, Mode and Range 06:23 06:23
Central Limit Theorem
5 Lectures
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Hypothesis Testing
6 Lectures
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5 Number Summary
1 Lectures
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Instructor Details

Gulab Chand Tejwani

Gulab Chand Tejwani

 

Gulab Chand Tejwani  is an independent consultant.He is a Project Management professional (PMP) and Microsoft Certified Trainer (MCT). He has more then 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..


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