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technologies like python (the most common one), sql, java, perl, or c/c++. moreover, professional data scientists should be well-versed in multivariate statistics (including regression, principal components analysis and clustering), and data-driven predictive model development. also, experience with hive or pig
qliksense, cognos, and microstrategy. moreover, warehouse design skills, expertise in sql, python, and java are a must for any qualified bi expert. if your project entails big data storage, a professional bi consultant should have a good command of big data tools such as hadoop, spark, aws kinesis, hive, pig...
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