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Welcome to the Learn Data Science and Machine Learning with R from A–Z Course!
In this practical, hands–on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high–level statistical language.
Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.
The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.
We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands–on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!
Specification: Learn Data Science & Machine Learning with R from A-Z
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8 reviews for Learn Data Science & Machine Learning with R from A-Z
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| Price | $9.99 |
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| Provider | |
| Duration | 28.5 hours |
| Year | 2021 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$9.99
Aysha Emelda CP –
Step by step every area so far is covered clearly. Thank you
Daksh Goel –
It’s a very amazing course .I would highly recommend it to everyone
Nirav Patel –
nice explanation what we going to do here so student think to buy or not
McJonathan –
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Amir Hossein Rashidian –
that was great, we know that we have much much data and we need to conclude what has happened so make better future with previous data
Alejandro Olaguer –
Excelent
Francisca Ana Soares dos Santos Bronner –
The course is overall good: the introduction and intermediate R is well explained and explored (with nice bonus contents), but the tidymodels part is a little too fast. I think it could have more 2 or 3 video lessons (15 20 minutes each) on tidymodels with knn and roc auc examples.
Vasu –
Very impressed with detailed explanation .