R ggplot and Simple Linear Regression faq

star-rating
4.5
learnersLearners: 3
instructor Instructor: Charles Redmond instructor-icon
duration Duration: 3.00 duration-icon

This course is perfect for anyone looking to learn the basics of data science and linear regression. With no prerequisites, you will learn how to install R and RStudio, create vectors and data frames in R, plot points and lines with ggplot, access vectors from data frames, group with ggplot, plot residual lines with ggplot, fit a least squares line to a data set, and use a least squares line for prediction. In two weeks, you will have the skills to start your journey in data science.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
This course will provide students with the skills and knowledge to install and use R and RStudio, create vectors and data frames in R, plot points and lines with ggplot, access vectors from data frames, group with ggplot, plot residual lines with ggplot, fit a least squares line to a data set, use a least squares line for prediction, and understand the basics of simple linear regression. Additionally, students will gain an understanding of the importance of data science skills and how they can be applied to any field.
Professional Growth:
This course provides an introduction to the fundamentals of data science, including the use of R and ggplot for data analysis and visualization, as well as the basics of linear regression. By completing this course, students will gain the skills necessary to begin using R and ggplot for data analysis and visualization, as well as the ability to apply linear regression to data sets. This course will help students to develop the skills necessary to pursue further studies in data science and machine learning.
Further Education:
This course is suitable for preparing further education in data science. It provides an introduction to R and ggplot, as well as the basics of linear regression. It is designed for those with no prior knowledge of data science, and can be completed within two weeks. It is a great starting point for those looking to gain more knowledge in the field of data science, and can be used as a foundation for further learning.

Course Provider

Provider Udemy's Stats at AZClass

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faq FAQ for Linear Regression Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Udemy, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 3 people have participated in this course. The duration of this course is 3.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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(Please note that the following steps should be performed on Udemy's official site.)
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Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Linear Regression courses and certifications, our extensive collection at azclass.net will help you.

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