Loading, please wait...

A to Z Full Forms and Acronyms

Why Data Analysis?

Aug 01, 2019 Data Science, Data Analysis, 3619 Views
This article clearly describes data analysis and reason out its future scope

Basic term:

Data - Data is an uncategorized raw form of information which may or may not contain depending upon its usage or requirement.

Analysis - Processing data to get useful information that should suffice the requirement upon a time.  

Example:

Data Analysis of House Rent in California, may not be an interesting topic for bulders but could be an important topic for someone who is looking for a rent to analyze which area he should live, that's exactly what is meant by data analysis , the data gathered contains a lot of information , but could be important for someone but not for others.

 

Why should one pursue Data Analysis?

Well, to answer that question, let's take you into a real-life scene, ready?

You, I, we all use the internet, we all search things that we wanted to know and you probably see your answer in the first page of Google, isn't it a magic , I mean there are so many pages but why only 99% of time it's on the first page or could extend up to 2nd page too.

The answer is the analysis of data that relevant and matters to the subject that is being asked and that's why we all save so much time and our results are in front of our eyes. So let's thank the analyzing methodology that helps us to make the efficient search that not only saves time but also clears our doubts.

According to MorningFuture  Data Analyst will be the most preferred and demanding job in future which emphasis that there will be 700,000 new recruitments by 2020. To take it further the blog by Dataversity states very interesting and promised 20 points which make you think to understand the real scene of future jobs. In fact, Forbes has also made an update about the five most important skills required for data analysis.

I believe that this answers to your question of why one should pursue Data Analysis, moreover you should move to hyperlinks associated with text to understand this answer and to gather proper knowledge.

Which Language is Best for Data Analysis?

There are lots of answers out there but personally, there are three best languages that should be great to move to data analysis:

  • R
  • Python
  • Java

In fact, the blog of BigDataMadeSimple gets you a more diverse and deeper explanation about which language you should choose.

How can I get the documentation for the above-mentioned languages?

If you have this question, GOOD because very little people ask this question and you are among them.

So to have an understanding of Python - Python Link

To have an understanding of R - R Link

To have an understanding of Java - Java Link

Conclusion

Data Analysis is a branch of Data Science, understanding the type of data and using those data to server both humanity and serving sectors really helps a lot, only and only if it is used properly, So using Data Analysis is one of the coolest jobs if you are likely to pursue next job.

 

A to Z Full Forms and Acronyms

Related Article