why do we need to analyze data


I think it is simply a matter of language misunderstanding and misconcept about the meaning of a test. To make a decision ( they want to know is whether their samples have passed or failed a test ) everybody (scientist or not) must analyse the data. This, at least, because there are several methods to test the data, so you have to decide which one looks more appropriate. In addition, in examining the samples with a given test procedure, the data you get depend on many factors. Finally, to make a decision it is not sufficient to insert your data in a black box, push a button and get off the result.


Data analysis is not only a matter for scientists.
As the workplace becomes more tech-driven and fast-paced, data analysis and the skills gained from Pare going to play an increasingly important role in business. Why is a data analysis course important? P Data analysis is an internal organisational function performed byP Pthat is more than merely presenting numbers and figures to management. It requires a much more in-depth approach to recording, analysing and dissecting data, and presenting the findings in an easily-digestible format.


Analyse, interpret and deliver data in meaningful ways In this short video, Norah Wulff, Data Architect and Head Tutor on the University of Cape Town Data Analysis online short course, provides some more insight into why learning this skill with data analytics courses is valuable to a business: Their responsibilities around analysing data help the business managers make informed decisions to drive the company forward, improve efficiency, increase profits and achieve organisational goals.


To do this effectively, Data Analysts need to be able to: Do you want to pursue a career in data analysis? Data analysis is important in business to understand problems facing an organisation, and to explore data in meaningful ways. Data in itself is merely facts and figures. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data. This context can then be used by decision-makers to take action with the aim of enhancing productivity and business gain.

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