3 TOOLS, METHODS AND TECHNIQUES
Data analysts need to use a variety of tools, methods and techniques from the computing, statistics, machine learning, project management and change management disciplines to do their jobs. This chapter provides an introduction and overview of them.
A good data analyst is a lot of small things done right – robust programming, analysis and presentation skills; error free and dependable work quality; critical reasoning skills; informed and well-read on their area or industry; flexible in their use of technology and methodology, and a good communicator. A lot of these coming together in a balanced way – and you go: Whoa! that’s a great analyst I’d love to hire over and over again.
(Amit Das, Founder, Think Analytics) ...
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