Linear Models Courses and Certifications

Machine Learning Foundations for Product Managers

797 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 16 hours 2 minutes
• Self-Paced
• Paid Course

Case Studies in Functional Genomics

7 ratings at edX

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

• edX
• 5 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Statistics and Data Science (Methods Track)

Master advanced statistical methods and data science techniques for rigorous analysis, informed decision-making, and evidence-based practices across industries with MIT's comprehensive program.

• edX
• 66 weeks, 10-14 hours/week
• Self-Paced
• $1,500.00
• 4 courses

Credential

Data Analysis for Life Sciences

Comprehensive R programming series for life sciences data analysis, covering statistics, linear models, high-throughput experiments, and high-dimensional data techniques to drive biomedical research and discoveries.

• edX
• 16 weeks, 2-4 hours/week
• Self-Paced
• $876.00
• 4 courses

Precalculus: Mathematical Modeling

95 ratings at Coursera

Explore mathematical modeling through functions, data analysis, and real-world applications. Build foundational skills for scientific careers and future math courses. Suitable for all students interested in applying math to various disciplines.

• Coursera
• 9 hours 50 minutes
• Self-Paced
• Paid Course

Demand Analytics

297 ratings at Coursera

Improve forecasting accuracy and stimulate demand through data analytics. Learn to build prediction models, identify demand drivers, and quantify their impact using real-world examples from a cookware manufacturer.

• Coursera
• 12 hours 50 minutes
• Self-Paced
• Paid Course

Supervised Text Classification for Marketing Analytics

14 ratings at Coursera

Learn to use supervised deep learning for text classification in marketing analytics, covering machine learning workflows, neural networks, and practical implementation using Google Colab and Python.

• Coursera
• 17 hours 48 minutes
• Self-Paced
• Paid Course

H2O.ai

Practical Machine Learning on H2O

74 ratings at Coursera

Learn core machine learning techniques using H2O, including linear models, random forests, GBMs, and deep learning. Evaluate and choose optimal models for your data and business constraints.

• Coursera
• 1 day 1 hour 6 minutes
• Self-Paced
• Paid Course

NC EOC Assessment - Math I: Test Prep & Practice

Comprehensive preparation for NC EOC Math I exam, covering real numbers, equations, functions, geometry, and data analysis through lessons, quizzes, and flashcards.

• Study.com
• 14 hours
• Self-Paced
• Paid Course

EDUCBA

TensorFlow: Build & Deploy Face Mask Detection

Master TensorFlow fundamentals and build a real-world face mask detection application using deep learning, computer vision, and Keras for practical AI deployment skills.

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

Introduction to R and Geographic Information Systems (GIS)

Learn R programming and GIS fundamentals, covering data structures, linear models, spatial analysis, and map visualization using ggplot2. Gain practical skills for statistical computing and geographic data manipulation.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

R Programming 101

Multiple Regression Analysis - From Simple Linear to Complex Models

Master multiple regression analysis in R, covering variable selection, confounding, collinearity, outliers, interactions, and assumption validation for robust statistical modeling.

• YouTube
• 2 hours 19 minutes
• Self-Paced
• Free Video

Machine Learning Course

Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.

• YouTube
• 1 day
• Self-Paced
• Free Video

Pascal Poupart

Logistic Regression and Generalized Linear Models

Explore exponential family models, logistic regression, and Newton's method for classification tasks, with applications in app recommendation and sparse data analysis.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Instrumental Variable Estimation for Multiple Linear Regression Models - Part IV

Explore IV techniques for MLRM, generalized MLRM, multiple instruments, and endogenous variables in econometric modeling.

• YouTube
• 35 minutes
• Self-Paced
• Free Video