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Learn Linear Regression online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
MIT OpenCourseWare
This course provides an elementary introduction to probability and statistics with applications. Topics include basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. These same course materials, includi…
IBM
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
IIT Kanpur
Mathematics course by Prof. Shalabh.
University of California, Berkeley
In this course, students will be applying linear regression techniques to analyze relationships, predict outcomes, and model trends, using Python to guide data-driven business strategies.
This series starts out teaching basic machine learning concepts like linear regression and k-nearest neighbors and moves into more advanced topics like neural networks and convolution neural networks.
University of Minnesota
Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forec…
University of Pennsylvania
Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.
Arm Education
Discover the fundamental concepts behind artificial intelligence (AI) and machine learning in this introductory course. Explore the various types of AI, examine ethical considerations, and delve into the key machine learning models that power modern AI systems. Whether your goal is to work directly…
IBM
This course covers key supervised machine learning topics in regression analysis. You’ll learn to train and test regression models. Ideal for aspiring data scientists and machine learning engineers.
IBM
This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you st…
RWTH Aachen University
"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.
Rice University
This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.
University of Michigan
This course provides learners with a first look at the world of statistical modeling. It begins with a high-level overview of different philosophies on the question of 'what is a statistical model' and introduces learners to the core ideas of traditional statistical inference and reasoning. Learner…
Meta
This course explores common analytics methods used by marketers such as audience segmentation, clustering and marketing mix modeling. . You'll explore how to use linear regression for marketing planning and forecasting, and how to assess advertising effectiveness through experiments. By the end of…
Imperial College London
Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-soundin…
University of Canterbury
Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.
Dartmouth College
This course provides a brief introduction to the theory and practice of supervised machine learning, the discipline of teaching computers to make predictions from labeled data. We begin with a well-known model of linear regression, moving from fundamental principles to the advanced regularization t…
Tecnológico de Monterrey
En este curso se aplican fundamentos estadísticos y econométricos para analizar bases de datos; lo anterior, con el fin de identificar el comportamiento de variables y su relación con otras variables. En el curso también aplican técnicas básicas de pronósticos a través de diferentes metodologías. S…
