The Complete R Programming Certification Bundle

1 Review
358 Enrolled
6 Courses & 35 Hours
You save 75%

What's Included

Statistics & Machine Learning for Regression Modeling with R
  • Experience level required: All levels
  • Access 50 lectures & 6 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

50 Lessons (6h)

  • Welcome to Regression Modelling With R
  • Ordinary Least Square Regression
  • Deal with Multicollinearity in OLS Regression Models
  • Variable & Model Selection
  • Dealing With Other Violations of the OLS Conditions
  • Generalised Linear Models (GLMs)
  • Non-Parametric and Machine Learning Regression

Statistics & Machine Learning for Regression Modeling with R

Minerva SinghMinerva Singh | Bestselling Instructor & Data Scientist
4.3/5 Instructor Rating: ★ ★ ★ ★

Minerva Singh is a Ph.D. graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. She has honed her statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R-based statistics and machine learning course offered by EdX) and Statistical Learning (R-based Machine Learning course offered by Standford online).

In addition to spatial data analysis, Minerva is also proficient in statistical analysis, machine learning, and data mining. She also enjoys general programming, data visualization, and web development. She even holds an MPhil degree in Geography and Environment from Oxford University.


Regression analysis is one of the central aspects of both statistical and machine learning-based analysis. This course will teach you regression analysis for both statistical data analysis and machine learning in R in a practical hands-on manner. This course can help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work setting or make business forecasting related decisions.

  • Access 50 lectures & 6 hours of content 24/7
  • Implement & infer Ordinary Least Square (OLS) regression using R
  • Build machine learning-based regression models & test their robustness in R
  • Apply statistical and machine learning-based regression models to deal with problems such as multicollinearity
  • Learn when & how machine learning models should be applied

Note: Software not included


Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here


  • Prior experience of working w/ R & RStudio
  • Basic knowledge of statistics
  • Prior experience of using simple linear regression modelling


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
1 Review
5/ 5
All reviews are from verified purchasers collected after purchase.

Isabel Cavaco

Verified Buyer

Was lookimg for R programming courses for a long time. This bundle from StackSkill was irresistible!

Dec 20, 2021
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