Linear Regression Courses and Certifications

Introduction to Statistical Analysis: Hypothesis Testing

175 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 10 hours 17 minutes
• Self-Paced
• Paid Course

Excel Regression Models for Business Forecasting

112 ratings at Coursera

Explore regression models for business forecasting, from simple to complex. Learn to create, evaluate, and apply various models to generate valuable business intelligence and predictions.

• Coursera
• 9 hours 6 minutes
• Self-Paced
• Paid Course

Marketing Analytics & Retail Business Management using Excel

1825 ratings at Udemy

Retail analytics using MS Excel - Covering Forecasting, Market Basket, RFM, Customer Valuation & Price Bundling

• Udemy
• 7 hours 54 minutes
• Self-Paced
• Paid Course

Machine Learning and Deep Learning Bootcamp in Python

1666 ratings at Udemy

Machine Learning, Neural Networks, Deep Learning and Reinforcement Learning, GAN in Keras and TensorFlow

• Udemy
• 1 day 7 hours 27 minutes
• Self-Paced
• Paid Course

AI Workflow: Machine Learning, Visual Recognition and NLP

96 ratings at Coursera

Explore machine learning, visual recognition, and NLP in AI workflows. Learn evaluation metrics, model selection, and best practices for linear models, tree-based algorithms, and neural networks using IBM Watson.

• Coursera
• 13 hours 41 minutes
• Self-Paced
• Paid Course

Machine Learning Basics

93 ratings at Coursera

Explore fundamental machine learning concepts, including k-Nearest Neighbors, Linear Regression, and Logistic Regression. Gain practical skills for data analysis and predictive modeling.

• Coursera
• 14 hours 57 minutes
• Self-Paced
• Paid Course

SAS Programming - Learn SAS from Beginner to Advanced

1488 ratings at Udemy

Topics: SAS for Data Import, Transformation, Analysis, and Modeling. SAS Macro.

• Udemy
• 8 hours 16 minutes
• Self-Paced
• Paid Course

Python for Machine Learning: The Complete Beginner's Course

1388 ratings at Udemy

Learn to create machine learning algorithms in Python for students and professionals

• Udemy
• 2 hours 29 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Applied Python: Web Dev, Machine Learning & Cryptography

75 ratings at Coursera

Master web development, machine learning, and cryptography through hands-on Python projects covering dynamic applications, sentiment analysis, linear regression, and secure systems.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Coursera

Mining Quality Prediction Using Machine & Deep Learning

69 ratings at Coursera

Predict silica concentrate in iron ore using machine learning and deep learning models. Explore data, train models, and evaluate performance for faster mining industry predictions.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Packt

The STATA OMNIBUS: Regression and Modelling with STATA

1 rating

Master regression analysis and modeling in STATA. Learn linear and non-linear techniques, explore advanced strategies, and apply practical examples using real-world data. Gain expertise in interpreting outputs and handling complex statistical scenarios.

• Coursera
• 22 hours 47 minutes
• Self-Paced
• Paid Course

Packt

Foundations and Core Concepts of PyTorch

55 ratings at Coursera

Master PyTorch fundamentals: from setup to advanced modeling. Build neural networks, optimize performance, and apply deep learning techniques to real-world problems using hands-on exercises and practical implementations.

• Coursera
• 6 hours 49 minutes
• Self-Paced
• Paid Course

Regression Modeling Fundamentals

53 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 11 hours 57 minutes
• Self-Paced
• Paid Course

Career Certificate

Advanced Statistical Techniques for Data Science

49 ratings at Coursera

Master advanced statistical techniques for data science including regression, model diagnostics, variable selection, Bayesian statistics, and data preparation for complex analysis.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Demand Forecasting Using Time Series

39 ratings at Coursera

Explore time series analysis for demand forecasting, covering stationarity, trends, autocorrelation, and predictive models like ARIMA. Gain practical skills in Python for effective supply chain management.

• Coursera
• 9 hours 23 minutes
• Self-Paced
• Paid Course