Big Data Tools Data Analysis Portfolio R (Programming) 
ProjectPro
FEBRUARY 24, 2016
It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023. Other Hadoop-related tools that are in demand for data scientists include MapReduce (22%), Pig (16%), and Hive (31%).
ProjectPro
NOVEMBER 30, 2021
You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. A senior business analyst is often expected to possess knowledge of Big Data tools.
ProjectPro
AUGUST 21, 2015
IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.
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