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With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Statistical Analysis: Hypothesistesting, probability, regression analysis, etc.
It provides functions for descriptive statistics, hypothesistesting, regression analysis, time series analysis, survival analysis, and more. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as ApacheHadoop and Apache Spark.
Accordingly, you need to make sense of the data that you derive from the various sources for which knowledge in probability, hypothesistesting, regression analysis is important. Statistical skills: having a clear idea regarding the procedures of different tasks requires you to have a thorough understanding of statistics.
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