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Data Science and Machine learning jobs are in great demand in this era of Artificial Intelligence, and students and professionals are increasingly interested in learning the R programming language while looking for high-paying IT careers. A data science education such as knowledge of R programming can help you get a career as a data analyst, data engineer, data architect, or data scientist.
The data science path you eventually select will be determined by your skill set and interests, but each job option will need some degree of programming, data visualization, statistics, and machine learning knowledge and abilities.
Let us jump into 10 best courses in R programming to jump start your career!
About R programming
R is a functional programming language that provides a free software environment for statistical computation and graphics. R provides the ability to create well-designed publication-quality graphs that include mathematical symbols and calculations.
R’s characteristics include Data modification and handling and Array operators for computation. Additionally, A vast and well-coordinated set of tools and Graphical tools for data analysis.
Let us have a look at 10 best courses in R programming to jump start your career!
10 best courses in R programming to jump start your career
Let’s have a look at the best R programming courses listed below to help you get started as a developer in R –
Vskills Certificate in R Programming
This online course covers advanced-level concepts in R programming and demonstrates industry best practices. This is an advanced R course with an intensive focus on machine learning concepts in depth and applying them in the real world with R. Job seekers looking for employment in various IT companies, PSUs or MNCs. Certification in R Programming will benefit data science professionals, data analyst and students who want to learn R programming.
The course starts off with pre-model-building activities such as univariate and bivariate analysis, outlier detection, and missing value treatment featuring the mice package. Then we take a look at linear, non-linear regression modeling and classification models, and will check out the math behind the working of classification algorithms.
R Programming by John Hopkins University
The course will teach you how to code in R as well as how to utilise R for successful data analysis. You’ll learn how to install and setup the tools required for a statistical programming environment, as well as how to express generic programming language principles as they’re implemented in a high-level statistical language.
Data Science R Basics Certificate by Harvard University: edX
The course is intended to teach students the fundamentals of R programming. The course starts with R’s functions and data types, then moves on to vector operations and when to employ advanced functions like sorting. You will learn how to apply general programming characteristics such as probability, inference, regression, and machine learning.
R Training Course: Lynda
The author introduces the R statistical processing language, covering how to install it, read data from SPSS and spreadsheets, and utilise packages for advanced R functions. The course goes on to demonstrate how to create charts and plots with various data analysis tools. It also teaches you how to extract charts and tables from R and disseminate your findings via presentations and web sites.
R Programming A – Z: R for Data Science: Udemy
R has a high learning curve and, as a result, it provides step-by-step instruction, making it simpler to learn. Through actual examples, you learn new useful concepts that you can apply right away. The training comprises of real-world analytical difficulties that the students must answer. The course is appropriate for students of all ability levels, including those with no prior programming experience.
R Programming Course and Tutorial Online: Pluralsight
The platform has compiled a list of 14 courses that might help you enhance your R programming and development abilities. Moreover, The many courses focus on various elements of utilising this language in various domains in various ways. Additionally, These courses will help you improve your foundations by teaching you R programming concepts, data science using R, data visualisation, and more.
There are further programmes that specialise on R in areas such as machine learning, data management, and analysis. By the completion of their chosen course, the applicant will have the confidence and ability to use their newly learned knowledge in a variety of tasks.
Data Science and Machine Learning Bootcamp with R: Udemy
According to Glassdoor, data science and machine learning occupations are gaining traction because they pay well. Furthermore, This course is written by Jose Marcial Portilla, an MS student at Santa Clara University, and it teaches you how to use R for data science, machine learning, and data visualisation. In addition, you will learn about advanced R capabilities such as leveraging R data frames to solve complicated problems and working with Excel files.
Statistics with R Specialization: Coursera
The Statistics specialty in R course, developed by Duke University, is designed for those who wish to learn statistics in R or become expert in data analysis. Moreover, including inference, modelling, and Bayesian techniques. Mine etinkaya-Rundel, Associate Professor; David Banks, Professor; Colin Rundel, Assistant Professor; and Merlise A Clyde, Professor are the program’s creators.
Programming for Data Science with R: Nanodegree Program from Udacity
If you want to start a career in data science, this is the perfect course for you. You will study the core data science technologies such as SQL, R. And additionally, Git in this course, allowing you to solve real-world data analysis challenges.
R Basics- R Programming Language Introduction: Udemy
The course teaches R programming from the ground up. It takes a step-by-step approach, making it ideal for novices. Additionally, The course begins with development setup, which includes installing R and the R studio interface, add-on packages. And how to utilise the R database and R help tools. Following that, the course introduces several methods for importing data, as well as coding in the language, including fundamental R functions.
These were the 10 best courses in R programming to jump start your career. We hope this article helped you to choose the best certification matching your needs.
