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#1: Role to analyse and interpret complex digital data, especially in order to assist a business in its decision-making.
# 2: Responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business to gain.# 3: "A data scientist is: better at statistics than any software engineer and better at software engineering than any statistician"
Data science requires knowledge of a number of big data platforms and tools, including Hadoop, Pig, Hive, Spark and MapReduce, and programming languages that include structured query language (SQL), Python, Scala and Perl, as well as statistical computing languages such as R.
Data scientist vs. Data analyst: there is overlap in many of the skills, there are significant differences.
Data scientist skills