Multicollinearity Courses and Certifications

NPTEL-NOC IITM

Understanding Multicollinearity

Explore multicollinearity and its impact on regression analysis, focusing on the Variance Inflation Factor as a key diagnostic tool.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Inference for Linear Regression in R

In this course you'll learn how to perform inference using linear models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

HR Analytics: Predicting Employee Churn in R

Predict employee turnover and design retention strategies.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

NPTEL-NOC IITM

Handling Multicollinearity with Ridge Regression in Python

Implement Ridge Regression using Python and sklearn to handle multicollinearity in data analysis.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Explaining the Core Theories of Econometrics

1135 ratings at Udemy

This is an introductory College level econometrics course. Ideal for students who want to learn in a more intuitive way.

• Udemy
• 3 hours 52 minutes
• On-Demand
• Paid Course

Developing Credit Risk Scorecard using SAS

182 ratings at Udemy

Master credit risk scorecard development using SAS through hands-on model building, validation, and calibration techniques for banking and finance applications. Learn data preparation, variable selection, and output interpretation.

• Udemy
• 1 hour 53 minutes
• On-Demand
• Paid Course

Statistics for Data Analysts and Scientists 2023

109 ratings at Udemy

Ultimate course to master practical and business applications of essential statistical tests and concepts

• Udemy
• 2 hours 30 minutes
• On-Demand
• Paid Course

Econometrics - Theory and Practice

Master econometric theory and practice through regression analysis, hypothesis testing, and statistical inference for analyzing economic relationships and data.

• Coursera
• 1 day 7 hours 43 minutes
• On-Demand
• Paid Course

Packt

Regression Analysis for Statistics & Machine Learning in R

Enhance regression analysis skills in R: from OLS to advanced techniques like GLMs, non-linear models, and machine learning approaches. Practical implementation and result interpretation included.

• Coursera
• 10 hours 30 minutes
• On-Demand
• Paid Course

EDUCBA

Regression & Logistic Models in Excel & Minitab

Master advanced regression techniques and logistic modeling using Excel & Minitab for real-world business applications and predictive analytics.

• Coursera
• 12 hours 9 minutes
• On-Demand
• Paid Course

EDUCBA

Python: Master House Price Prediction with Linear Regression

Master house price prediction using Python's linear regression through hands-on data preprocessing, feature engineering, and model evaluation with real Ames Housing dataset.

• Coursera
• 6 hours 9 minutes
• On-Demand
• Paid Course

EDUCBA

Predictive Models: Build, Explore Data & Deploy

Master the complete predictive modeling lifecycle from data exploration to production deployment using real banking data and industry-standard evaluation techniques.

• Coursera
• 6 hours
• On-Demand
• Paid Course

EDUCBA

Predictive Modeling with Python: Apply & Evaluate

Master predictive modeling with Python through hands-on regression, logistic regression, and credit risk analysis using real datasets and performance evaluation techniques.

• Coursera
• 14 hours 45 minutes
• On-Demand
• Paid Course

Machine Learning & AI Foundations: Linear Regression

171 ratings at LinkedIn Learning

Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.

• LinkedIn Learning
• 4 hours 5 minutes
• On-Demand
• Free Trial Available

Dibrugarh University;  CEC

Introductory Econometrics

Comprehensive introduction to econometric concepts, covering hypothesis testing, regression models, OLS assumptions, and model misspecification. Develop skills in statistical analysis and econometric techniques.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course