Unlock the power of data with "Data Science: Linear Regression." Explore the vital technique of quantifying relationships between variables and mitigating confounding factors. Perfect for aspiring data scientists, this course is a pivotal part of the Professional Certificate Program in Data Science. Learn how to practically implement linear regression using R, uncover insights from real-world case studies, and unravel the intricacies of confounding variables. Propel your data analysis skills and unveil the hidden dynamics within complex datasets.
Linear Regression and Linear Models
2.0
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This course is perfect for anyone looking to learn about linear regression and linear models. StatQuest provides an in-depth look at fitting a line to data, least squares, linear regression, multiple regression, R-squared, P Values, T-tests, and ANOVA. With clear explanations and examples, this course is the perfect way to gain a better understanding of linear regression and linear models. Click now to get started!
Linear Regression in Python Machine Learning Linear Regression Algorithm Great Learning
2.5
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This Linear Regression Tutorial will introduce you to the concept of linear regression and help you understand what regression analysis is and how to implement simple and multiple linear regression using Python. It will focus on two main topics: Simple Linear Regression and Multiple Linear regression. With step-by-step examples, you will learn to compute all of the essential outputs for simple linear regression and multiple regression and be able to correctly interpret the outputs you produce. Learn to ace your skills in Linear Regression and understand the whole process with examples and visuals. Click now to get started!
Linear Regression Analysis and Forecasting
3.0
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This course on Linear Regression Analysis and Forecasting provides an in-depth look at the tools and techniques used to find the statistical model between input and output variables. Learn how to use regression analysis to forecast future outcomes, and understand the steps and checks required to obtain a good model. With this course, you will gain the skills to accurately predict future outcomes and make informed decisions.
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