Data exists everywhere – either in structured or in unstructured form. It is of prime importance when planning or executing any business decision. But data by itself is of no value. It has to be measured, managed, understood and analysed.
Insights, patterns and trends derived from the data have to be then examined and utilized to help take appropriate business decisions. Thus the data has to be amenable to analysis using a proper methodology, strategy and business objectives. Analytics is the scientific process by which data is transformed into actionable information for making better business decisions.
Graphical Data Visualization
R programming language is a powerful language that has been devised for graphical data visualization, machine learning and statistical analysis. It has many advantages over other data analysis software available in the market today. It is one of the most popular and widely used statistics programming languages in the world. It is used by data analysts everywhere for critical business applications. It is supported by a large community of contributors, developers and users whose modified applications are available for use by anyone who wishes to harness the power of R.
To begin with, R is an open-source tool, hence it is free for use by everyone. It is open to modifications since you can alter the codes to the extent you wish. These modifications help R users all over the globe. Though the language is slightly difficult to start with, it is an interactive one and encourages exploration and experimentation. Analysis is done with the help of written scripts and functions which give it the flexibility to mix-and-match models while analyzing data much faster than traditional statistical software.
R can be used for data manipulation, accessing data from different formats, for modern and traditional statistical modelling, analyzing big data. Because it offers unique graphic visualization, it can represent complex data with multi-panel charts, 3-D graphs, charts, scatterpoints etc. that make it easier to understand the analysis. R is being used to resolve data problems in fields as diverse as computational biology and quantitative marketing and financial analysis. It is used by the majority of analytics-driven companies in the world.
Ideal for Students and Professors
R Analytics training is ideal for both students as well as professionals who want to enter the analytics industry and who wish to sharpen their technical knowledge and skills with training and experience with cutting-edge techniques. Potential data scientists and data analysts and those who are keen on a career in Business Analytics will gain a lot from this training. R Analytics training helps you gain a holistic view of the performance of the business, across different functions and lets you work out how to maximize the efficiency of the business. R now plays a major role in almost every aspect of a business and is slowly transforming the face of diverse industries.
R is not restricted to large businesses only – small and medium sized enterprises are also reaping the rewards of using it. As a result there is a rise in the requirement for professionals with the right training and skill. A proper training in R will guarantee industry-relevant skills and will ensure higher pay packages and better opportunities in almost every industry and vertical.