Statistical Modeling for Data science
Become a master of Core Stats For A Data Science Career. Master Statistical modeling and Many More
Updated on Oct, 2023
Language - English
Development,Data Science and AI ML,Data Analysis
Lectures -20
Duration -1 hours
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
What will you learn in this course:
- 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
What are the prerequisites for this course?
- Just a basic knowledge of high school maths
- Interest in Learning Statistical Modelling
Curriculum
Check out the detailed breakdown of what’s inside the course
Distribution
7 Lectures
-
Introduction
01:51
01:51
-
Continues and Discrete Variables
04:30
04:30
-
What is Distribution
10:31
10:31
-
What is standard Deviation?
04:15
04:15
-
Skewness
03:39
03:39
-
Kurtosis
03:34
03:34
-
Mean, Median, Mode and Range
06:23
06:23
Central Limit Theorem
5 Lectures
Hypothesis Testing
6 Lectures
5 Number Summary
1 Lectures
Instructor Details
Gulab Chand Tejwani
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