Diploma

Hi,
NPAT 2018 Eligibility:
Candidates willing to appear for NPAT 2018 must ensure that they comply by the eligibility criteria of the exam, failing which, the applications might be rejected by the officials. The eligibility criteria for NPAT has been prescribed by NMIMS University, the conducting body of the exam. The candidate applying for the exam must have passed 10+2 or equivalent exam. Also, this should be inclusive of International Baccalaureate Diploma in any stream. This Diploma must be attained from a recognised Board at first attempt. Candidates must note that IB Certificate awarded is not eligible
- The candidate must have obtained an aggregate of 60% marks in 10+2 equivalent examination
- It is compulsory for the student to have passed in Mathematics/ Statistics at 10+2 or equivalent exam
- Candidates holding IB Diploma will be eligible only if he/she has Mathematics/ Statistics at standard level
CBSE and ICSE candidates need to mention 10th or equivalent aggregate marks of all the subjects best of four or five subjects shall not be considered
- Candidates exceeding 25 years of age are not eligible for applying to the exam
- Candidates who have passed 10+2 or equivalent examination from Open or Distance learning (ODL) can also apply for the exam, but the school must be recognised only by National Institute of Open schooling (NIOS)
- Candidate who have not been able to clear 10+2 in their first attempt are not eligible for the exam
https://www.shiksha.com/bba/exams/npat.

Yes, you are eligible if you have lots of programming knowledge. Data scientists are a new breed of analytical data expert who has the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. They are part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, there highly sought-after and well-paid. Who wouldn't want to be one? There is also a sign of the times. Data scientists weren't on many radars a decade ago, but their sudden popularity reflects how businesses now think about big data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. It's a virtual gold mine that helps boost revenue as long as there's someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist. Where did they come from? Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. It's the key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit. The data scientist role also has academic origins. A few years ago, universities began to recognize that employers wanted people who were programmers and team players. Professors tweaked their classes to accommodate this and some programs, such as the Institute for Advanced Analytics at North Carolina State University, prepared to churn out the next generation of data scientists. There are now more than 60 similar programs in universities around the country.