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Data Analysis

By Sunaina Kuhn
[ Senior Associate | Evaldesign ]




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Career Talk Information




What is Data Analysis?


There are many nuances of a Career in Data Analysis. One should first understand What a Career in Data Analysis entails before investing time and effort to figure out How to start a Career in Data Analysis. The internet is a great source of information on Data Analysis, but it is second best to learning about the same from a real professional.

Sunaina Kuhn has 3 years & 4 months of professional experience in Data Analysis. Here is how Sunaina Kuhn detailed Data Analysis:

Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.





How Sunaina Kuhn got into Data Analysis?


After completing my Schooling from Woodstock, I did BA in Political Science from Purdue University. I taught Business English for a year in Budapest. After that I joined Teach for India. I also worked as a Research Associate in IIM, Ahmedabad. I have been working as a Senior Associate at Evaldesign since 2015.





Sunaina Kuhn's Talk on Data Analysis



Starts with what is:
     1) Data Analysis  

Next, it covers Education. It was a welcome change to see the Talk touch upon Education as theoretical knowledge needed to excel at Data Analysis, and not merely as Qualifications needed to enter Data Analysis. It details these topics within Education for Data Analysis:
     2) Statistics  
     3) Programming Languages  
     4) Industry Knowledge  

Then, the Talk focuses on the most important component that is Skills. Sills and success in Data Analysis go hand in hand. One needs to get a hold of essential skills. Here is a list of Skills required for Data Analysis:
     5) Critical Thinking & Creativity  
     6) Passion  
     7) Patience  
     8) Adaptability  
     9) Problem Solving  

Positives of Data Analysis motivate one to work hard for the same. This Talk explains these Positives of Data Analysis:
     10) Self Satisfaction  
     11) Monetary Potential  
     12) Changing Your Thinking  

It is important that one develops a fair understanding of the Challenges of Data Analysis:
     13) Physically Demanding  
     14) Too Much Focus  

In the final section of the Talk, Sunaina Kuhn talks about How a day goes in a Career in:
     15) Data Analysis  




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Relevant Links










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