Engineers and data scientists will both learn different details from Data Analysis, but will both be able to apply Data Tools to solve large distributed problems in their respective fields .
Data scientists focus on answering questions or building models from data. They
often have a statistical or math background and some familiarity with tools like
Python, R, and SQL. We have made sure to include Python and, where relevant, SQL
examples for all our material, as well as an overview of the machine learning and
libraries and Data Tools.
The second group targets is software engineers who have some experience
with Java, Python, or another programming language.
Engineers writes Data applications to solve parallel processing problems.
Hello, my name is George Sidiras. I'm a 50 year old self-employed and Data scientist from Greece . 
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