Harvard University - Data Science: Linear Regression
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Data Science: Linear Regression at edX Overview
Data Science: Linear Regression
at edX
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science
Duration | 19 hours |
Start from | Start Now |
Total fee | ₹12,422 |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Data Science: Linear Regression at edX Highlights
Data Science: Linear Regression
at edX
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Data Science: Linear Regression at edX Course details
Data Science: Linear Regression
at edX
Skills you will learn
What are the course deliverables?
- How linear regression was originally developed by Galton
- What is confounding and how to detect it
- How to examine the relationships between variables by implementing linear regression in R
More about this course
- Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part ofourProfessional Certificate Program in Data Science, covers how to implement linear regression and adjust for confounding in practice using R
- We will also examine confounding, where extraneous variables affect the relationship between two or more other variables, leading to spurious associations
- Linear regression is a powerful technique for removing confounders, but it is not a magical process
Data Science: Linear Regression at edX Curriculum
Data Science: Linear Regression
at edX
Linear Regression
Statistical Modeling
Data Science
Data Science: Linear Regression at edX Admission Process
Data Science: Linear Regression
at edX
Important Dates
May 25, 2024
Course Commencement Date
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Data Science: Linear Regression
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