Increase your Career Prospects with R Analysis Training

R is now becoming the leading language in data science and statistics. It has become the tool of choice for the data science professionals in every field. No matter whether you are a regular number cruncher or just an occasional data analyst, r analysis online training will surely suit your needs.

Certification in R program is a short term skill building program which provides you with a thorough understanding of R for high paying career in data analytics. R is the weapon of choice for legions of data scientists. R is useful in data analytics because it comprises of a number of built-in mechanisms for organization of data, running various calculations on the information and creating graphical representations of the data sets. 

R analysis online training will help you in gaining expertise in R programming, exploratory data analysis, data manipulation, data visualization, data mining, regression, sentiment analysis and using R studio for social media, retail, etc.  

What are the reasons for the sudden popularity of R?

• Extensive capabilities: R offers the data analyst an extensive analytics capabilities ranging from text analytics, time series and optimization.
• Zero Cost of ownership: It is an open source software which is free to download.
• Versatility: It is the only analytics software to run on Mac.
• Customization: Data scientists are capable of improving the software’s code or write variation for specific tasks.
• Integration: It can integrate with other software vendors like SAS, Oracle, SAP, TIBCO, IBM, etc. It integrates with Python, MATLAB, HDFS and WEKA. RExcel is an add-in for Microsoft Excel that enables access to the statistic package R from within Excel. 

Why go for R Programming Online Training?

After pursuing this online training, you should be able to:

• Clearly understand the concepts of business intelligence and business analytics.
• Explore the recommendation systems having functions like Association rule mining, user-based collaborative filtering and item based collaborative filtering, etc.
• Apply different supervised machine learning techniques.
• Perform the Analysis of Variance( ANOVA)
• Learn the use of algorithms in Decision Trees, Support Vector machines, Logistic regression, Ensemble techniques, etc.
• Use different packages in R to create fancy plots.
• Work skillfully on a real-life project, implementing both supervised and unsupervised machine learning techniques to develop business insights.

What makes this R programming online training unique is that you will continuously practice your newly acquired skills through the interactive in-browser coding challenges. You will also solve real-data problems while receiving personalized feedback which guides you to the right solution.