R Programming for Data Science is a training which can help you achieve your dream of being a successful Data Scientist. There was, is and continues to be a confusion if Python or R programming is good for Data Science. However, read on to know why R programming for Data Science is a good choice.
Data Science is undoubtedly the technology which is reigning in the world of tomorrow. Data Science however involved complex steps and procedures like Data wrangling, Data visualisation, Machine Learning algorithms and more. The strength of the language R is its statistical analysis, data reconfiguration which is essential for Data Science. The extensive library of tools of R helps in data manipulation and wrangling. R also helps in data visualisations with packages like ggplot2 and ggedit. Even Machine Learning is made easy to developers with packages like MICE, CARET, random FOREST and the like.
Above all this, R is an open source making it the most cost-effective solution for projects. R language is used by many top tech companies for data science. Easy Courses has structured a comprehensive syllabus in Data science using R in consultation with the industry experts.
Why should you learn R programming for Data Science?
A Data Scientist profile is one of the highly paid and trending career option of this decade. Top companies across the globe are looking for expert Data Scientists to explore the messy data and extract trends, customer behaviour etc. Corporates are looking for data driven solutions and algorithm-based studies in order to overcome the pressing challenges and predict the market trends.
Our course ensures that you learn Data Science using R clearly with appropriate practical knowledge. We assure your complete understanding of the technology and confidence in the same. Our classes are LIVE interactive sessions online by experienced subject matter experts. So, join us for the course today and live your dream of becoming a leading Data Scientist.