R Programming A-Z: R For Data Science (Course & Exercises)
Original price was: $84.99.$14.99Current price is: $14.99.
What you’ll learn
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Learn to program in R at a good level
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Learn how to use R Studio
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Learn the core principles of programming
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Learn how to create vectors in R
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Learn how to create variables
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Learn about integer, double, logical, character and other types in R
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Learn how to create a while() loop and a for() loop in R
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Learn how to build and use matrices in R
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Learn the matrix() function, learn rbind() and cbind()
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Learn how to install packages in R
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Learn how to customize R studio to suit your preferences
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Understand the Law of Large Numbers
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Understand the Normal distribution
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Practice working with statistical data in R
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Practice working with financial data in R
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Practice working with sports data in R
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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:
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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
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Learn the matrix() function, learn rbind() and cbind()
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Learn how to install packages in R
Sincerely,
Kirill Eremenko
Who this course is 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
12 reviews for R Programming A-Z: R For Data Science (Course & Exercises)
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Original price was: $84.99.$14.99Current price is: $14.99.
Tendai Sibanda –
The course was very thorough and takes you through the essentials of R in a way that doesn’t leave you overwhelmed. The exercises at the end of the chapter were also especially helpful to check your progress and understanding of newly learnt concepts.
Kiran Kumar D S –
It was very challenging to finish every modules and home works(assignments). But it was very engaging and the best part is that we learn all the basics so quickly seems like I was sitting in a class room. Amazing lectures. If there were a little more details about the Fonts and the packages to be installed would have been wonderful. Never the less I would strongly recommend the course if you want to learn the basics of R very quickly.
Jones Wang –
Excelente curso, acho que aprendi neste curso, conteudo equivalente varios meses de curso normal. super didatico, facil de entender, recomendo a todos.
Pranjal Choudhary –
Very well structured course. And love the real life questions and homework that was used as part of this course. Will really recommend this course to anyone who wants to learn R for data analysis quickly. Thanks Kirill Eremenko
Lorenzo Giacomella –
A great course on R, it gave me all the necessary foundation to approach this computational programme. Looking forward to seeing what’s next! Highly reccomended.
Faraz Kamil –
Great Vocal techniques needed for effective preaching of the subject.
Made the understanding of the subject quite easy and I didn’t have to repeat the videos to quite understand things again.
Liviu Balan –
Pro:
-As usual Kirill is a natural professional teacher that guides you to practical data field
-Homework with a dedicated solutions section “Section 7: Homework Solutions”
-Quizzes
Cons:
-The code solutions are not attached, only data set, fill in the blanks and documentation PDFs
-Idea for this course or for a future R course: Jupyter Notebooks in order to decrease the student time spent on typing
-No attached files, only external Practice Datasets from superdatascience.com
-Background noise on “81. BoxPlots”
Abhishek Kumar –
Would suggest you to include more example and practice problems with solutions and of course more real world problems. else course is very good.
Jeanhung –
The concepts are clearly explained and easy to understand. Overall it was fun to learn through this course. The only thing was that this course just provides very basic ideas of R, which is far from sufficient to actually do data science. It would be great if the course can be longer and cover more aspects that are essential for data analysis/science.
Caio Moretz-Sohn de Almeida –
This course is the best about basic/intermediate R learning in all Udemy. And it has a great advantage: its low cost. It added to me many skills and insights. Certainly, I will continue the path by completing the course “R Programming: Advanced Analytics In R For Data Science”. Best regards, from Brazil.
Stephanie K Poly –
Really loved the teacher – felt like he explained the rationale behind things very well which helped me retain the info a lot better than other instructors in the past. He also seemed genuinely excited to be teaching which made the experience very enjoyable.
Ivan Roberto Rojas Gonzalez –
The course serves as a great way to start getting aquainted with R. I’m giving it a 4.5 out of 5 star rating because I do hate the song that plays at the beginning of each lesson