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collection, data extraction, data cleansing, data exploration, data transformation, feature engineering, data integration, data mining, building prediction models, data visualization and deploying the solution to the customer. skills and tools ranging from statistical analysis, text mining, regression modelling
, hypothesis testing, predictive analytics, machine learning, deep learning, neural networks, natural language processing, predictive modelling, r studio, tableau, spark, hadoop, programming languages like r programming, python are covered extensively as part of this data science training. excelr is...
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