R Programming for Data Science Course

Today’s business needs innovation and creativity. The next-generation technologies are creating the path for a digital world where devices, consumers, and clients are getting smarter with data and information.

Data Science technologies have pioneered the way in which Data Analysts are mining, analyzing and interpreting the data to bring out useful set of information and output.

One such language is R and it is amongst the most preferred language for Data Scientists today. Once a student or professional has shown willingness to learn programming in R, it can also be understood that he or she has realized the importance and relevance of it.

As per a recent poll conducted by KDNuggets, it was established that R is the most preferred programming language as compared to other languages like SQL and Python for the purpose of Analytics and Data Science.

Companies such as Ford is using R to improve vehicle designs, Google is using R to compute their ROI figures, Rockefeller develops models for simulating the finances of public pension funds using R and Twitter is using this language to accurately measure their user experiences.

Hence, with it being established that R is here to stay and will be the most prominent language for Data Analysts and organizations, one should also be fully clear of the steps which need to be taken to imbibe knowledge in this subject.

Some companies run an R language course internally for their employees. However, the drawback here is that such training are mostly affordable by large scale organizations which leaves out a very large chunk of companies and employees who cannot afford to learn programming in R internally.

Hence, it is strongly advisable to learn programming in R from a reputed training or educational institute which can

Data Wrangling
— the most important feature which must be covered by any Training Institute offering an R Certification. It is often remarked that more than 80% of the work in Data Science is Data manipulation. Hence the term which has been coined is called — “wrangling”. More often than not, you may find yourself wrangling the data and putting it into the shape which you desire. For example, the ‘dplyr' package in R makes data manipulation very easy. When you “chain” the basic dplyr together, you can dramatically simplify your data manipulation workflow.

Data Visualization
— No comprehensive R language course can be called complete unless and until it deep dives into the concept of Data Visualization. There exists a very deep structure to all statistical visualizations and there is a highly structured framework for thinking about and creating all data visualizations. As an example, learning ggplot(which is one of the best Data Visualization tools around), one can learn how to work on Data Visualization. Also, combining ggplot and dplyr(using chaining mythology ) can help in the effortless management of data and thus bring forth excellent data insights.

Machine Learning
— The R language course of your choice must dwell into the concept of Machine Learning. Sometimes, it is seen that Data exploration techniques are not fruitful or do not give the desired results. In these situations, a stronger tool is required to get clear and accurate data insights. Since R has some of the best Machine Learning tools and resources, due consideration must be paid to this topic during an R course.

After Note! R programming language is undoubtedly a powerful and full-fledged programming language that supports an extremely wide variety of data operations that can be performed with simple codes. A good institute offering an R course will not just train a student on the tools and resources but also help them understand how these tools get clubbed with Statistics, Data Mining and Analytics, Forecasting, Predictive Modeling, Optimization, Simulation, and so on. This will help them build a better understanding of the subject and strengthen their foundational knowledge of Data Science. With the field of Data science experiencing phenomenal and steady growth over the past decade, it is natural and logical to infer that importance of R is also going to skyrocket! Hence, learning programming in R will be one of the wisest decisions you will make for launching your career in the big data space.

Completing an R course from a well reputed educational institute would also help students to grab more job opportunities in the market. With the constant demand in Big Data and Data Science, every organization is on the lookout for data analysts and offering them excellent roles and providing them with a lot of room to experiment and challenge their skills to bring out quantifiable and insightful results.

According to a recent survey conducted by Dice, R was also ranked as one of the highest paying skill with an average salary of INR 30,000/-. Taking this statistic into account, one can understand that an R course can certainly enhance the job prospects of students and professionals alike. An R language course does not require someone to be extremely proficient in statistics and mathematics. With little to zero knowledge and experience in coding, one can begin his or her career in Data Science.

An R course is a skill based course which requires participants to have interest and passion to work as a Data Analyst.

About Henry Harvin The R Programming course in India by Henry Harvin has been aptly named — Certified R Programmer(CRP Certification). Henry Harvin is providing this R Certification training course via classroom mode as well as for those looking to study from the comfort of their home via the online route. To learn programming in R from Henry Harvin would be the fastest and most reliable way to gain knowledge of this very important and powerful programming language. Henry Harvin is a leading career and competency development institution whose primary objective has been to provide the latest and most relevant business training and skill development courses for professionals and individuals alike.