Data Science
Linear Regression
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.
In data science applications, it is very common to be interested in the relationship between two or more variables. The motivating case study we examine in this course relates to the data-driven approach used to construct baseball teams described in Moneyball. We will try to determine which measured outcomes best predict baseball runs by using linear regression.
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. It is essential to understand when it is appropriate to use, and this course will teach you when to apply this technique.
What you'll learn
- 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
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| Rating | 2.0★ based on 1 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 1–2 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $109 |
| From | Harvard University, HarvardX via edX |
| Instructor | Rafael Irizarry |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science Mathematics |
| Tags | Computer Science Data Analysis & Statistics Math |
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What people are saying
lectures give any hint
Some of the problems seem to stem from the professor using his own private R packages, which define commonly-used R commands differently than in 'standard' R (neither the syllabus nor the lectures give any hint as to what packages he's using).
commonly-used r commands differently
nobody has figured
Even if you download the packages that students have guessed, there are still some examples that nobody has figured out how to run, and these threads have been going on for months.
which define commonly-used
forums are full
The course forums are full of people trying to figure out how to get the code to work.
even if
been going
differently than
for months
hint as
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| Rating | 2.0★ based on 1 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 1–2 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $109 |
| From | Harvard University, HarvardX via edX |
| Instructor | Rafael Irizarry |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science Mathematics |
| Tags | Computer Science Data Analysis & Statistics Math |
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