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R Programming A-Z™: R For Data Science With Real Exercises!

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2
4.6
4.6/5
(46,312 reviews)
233,282 students
Created by

9.8

Classbaze Grade®

10.0

Freshness

9.4

Popularity

9.3

Material

Learn Programming In R And R Studio. Data Analytics
Platform: Udemy
Video: 10h 40m
Language: English
Next start: On Demand

Best R classes:

Classbaze Rating

Classbaze Grade®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.4 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.3 / 10
Video Score: 9.2 / 10
The course includes 10h 40m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 00 minutes of 161 R courses on Udemy.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

7 articles.
0 resource.
0 exercise.
0 test.

In this page

About the course

Learn R Programming by doing!
There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
I can’t wait to see you in class,
What you will learn:
•Learn how to use R Studio
•Learn the core principles of programming
•Learn how to create vectors in R
•Learn how to create variables
•Learn about integer, double, logical, character, and other types in R
•Learn how to create a while() loop and a for() loop in R
•Learn how to build and use matrices in R
•Learn the matrix() function, learn rbind() and cbind()
•Learn how to install packages in R
Sincerely,
Kirill Eremenko

What can you learn from this course?

✓ Learn to program in R at a good level
✓ Learn how to use R Studio
✓ Learn the core principles of programming
✓ Learn how to create vectors in R
✓ Learn how to create variables
✓ Learn about integer, double, logical, character and other types in R
✓ Learn how to create a while() loop and a for() loop in R
✓ Learn how to build and use matrices in R
✓ Learn the matrix() function, learn rbind() and cbind()
✓ Learn how to install packages in R
✓ Learn how to customize R studio to suit your preferences
✓ Understand the Law of Large Numbers
✓ Understand the Normal distribution
✓ Practice working with statistical data in R
✓ Practice working with financial data in R
✓ Practice working with sports data in R

What you need to start the course?

• No prior knowledge or experience needed. Only a passion to be successful!

Who is this course is made for?

• This course is for you if you want to learn how to program in R
• This course is for you if you are tired of R courses that are too complicated
• This course is for you if you want to learn R by doing
• This course is for you if you like exciting challenges
• You WILL have homework in this course so you have to be prepared to work on it

Are there coupons or discounts for R Programming A-Z™: R For Data Science With Real Exercises! ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $18.7 of 161 R courses. So this course is 20% cheaper than the average R course on Udemy.

Will I be refunded if I'm not satisfied with the R Programming A-Z™: R For Data Science With Real Exercises! course?

YES, R Programming A-Z™: R For Data Science With Real Exercises! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the R Programming A-Z™: R For Data Science With Real Exercises! course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Kirill Eremenko?

Kirill Eremenko has created 60 courses that got 573,207 reviews which are generally positive. Kirill Eremenko has taught 2,123,163 students and received a 4.6 average review out of 573,207 reviews. Depending on the information available, we think that Kirill Eremenko is an instructor that you can trust.
Data Scientist
My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
Browse all courses by on Classbaze.

9.8

Classbaze Grade®

10.0

Freshness

9.4

Popularity

9.3

Material

Platform: Udemy
Video: 10h 40m
Language: English
Next start: On Demand

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