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We can connect R with different databases like Spark or Hadoop. The big data world is also accessible to R. R communicate with the other languages and possibly calls Python, Java, C++. Xgboost is one of the best algorithms for Kaggle competition. Keras and TensorFlow allow us to create high-end machine learning techniques. For machine learning, the best algorithms can be implemented with R. Data scientist job is to understand the data, manipulate it, and expose the best approach. The important task in data science is the way we deal with the data: clean, feature engineering, feature selection, and import. A programming language is used to compute and communicate our discovery. Learning statistical modeling and algorithm is more important than to learn a programming language. We may not have time to learn them both at the time when we get started to learn data science. The data scientist can use two excellent tools, i.e., R and Python. There are several tools available in the market to perform data analysis.
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