Data analytics have multiple meaning, it depends on the context of usages. The general understanding of the term is that when we obtain a set of data points from the subject under test, we try and make some sense of the data and we try to understand the subject better.
Example:-The Youtube collects the records of previous videos you have watched and tries to find a video which is close to the set you have watched. There are three main steps which go behind the data analytics first is the “problem definition ” its very important to define specially what we know from the data before doing any analysis, the second step is applying statistical technique to process the data it means that what user want, And the third is “Answer the Question” by using the relationship we have deduced in the Data Generally computational Program are written to do this step. . Statistical analysis has several steps:-
1) Cleaning the Data.
2) Assessing the Quality of the Data.
3) Main Data Analysis.
Ones the above three steps are done, we are finally ready to Answer the main Question we have set forth with.
Data Science Course goes through various names in various fields. Social network analysis financial Engineering, Business Analytics, computational neuroscience etc. Have ever wondered how youtube magically lists up the videos of your taste in its suggestion it just because of Data Analytics.
Below are the Tools for Data Analytics:-
R Programming. R is the leading analytics tool in the industry and widely used for statistics and data modeling
Tableau Public
SAS
Apache Spark
Excel
RapidMiner
KNIME
QlikView

As the above discussion we can say that Data Analytics is very Important in the field of software development because we can use it in various field which we have already Discuss above this all about Data Analytics.

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