Overview
Context
Previously, you learned the fundamentals of both statistical inference and linear models; now, the next step is to put them together.
From the estimated linear model, you will learn how to create interval estimates for the effect size as well as how to determine if the effect is significant.
Prediction intervals for the response variable will be contrasted with estimates of the average response. Throughout the Inference for Linear Regression in R course at Data Camp, you'll gain more practice with the dplyr and ggplot2 packages, and you will learn about the broom package for tidying models; all three packages are invaluable in data science.
Programme Structure
Chapters
- Inferential ideas
- Simulation-based inference for the slope parameter
- t-Based Inference For the Slope Parameter
- Technical Conditions in linear regression
- Building on Inference in Simple Linear Regression
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Information Technology (IT) Statistics Data Science & Big Data View 592 other Short Courses in Data Science & Big Data in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Foundations of Inference
- Intermediate Regression in R
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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