Statistical Foundations for ML in R

Created by Selva Prabhakaran

42 Video Lessons
English
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$19

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3h 22m of Self-paced videos
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Learning duration ~ 2 weeks
Complete access for 1 year

What you will learn

Central Limit
Theorem

Law of large
numbers

Univariate
Analyses

Normal
Distribution

Standard Deviation and
Error

Confidence
Interval

Bi-variate
analyses

Statistical Significance
Tests

Course Curriculum

Requirements

Basics of R Programming
High School Maths

Who should attend this course?

Data Science Aspirants
Data Science Professionals
Software/Data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

4.5+Instructor rating
200+ reviews
10K+students
15+ Courses

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Statistical Foundations for ML in R

$19

What you will learn

Central Limit Theorem

Law of large numbers

Univariate Analyses

Normal Distribution

Standard Deviation and Error

Confidence Interval

Bi-variate analyses

Statistical Significance Tests