Data Scientist

Hi Adithyan,
I would recommend you to start with a certification course. SP Jain's Professional programme in Big Data & Visual Analytics is a highly stimulating and application-based programme that combines technical and business knowledge to help you provide solutions to the challenges that Information Sciences and Big Data pose on corporations in the 21st century. From Data Mining, Machine Learning and Cloud Computing to Linux, Algorithmic Training and Internet of Things over the course of 8 months, SP Jains BDVA programme takes you deep into every aspect of Big Data. And, not simply from a theoretical perspective, but also through practical, real-world projects and industry internships that help students, especially those with little or no work experience, supplement their academic knowledge with real-life industry experience, make meaningful contributions to companies, build strong professional contacts and explore full-time career opportunities.

Data scientists are a new breed of analytical data experts who have 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 also a sign of the times. Data scientists were't on many radars a decade ago, but their sudden popularity reflects how businesses now think aboutbig 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. Its 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.

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.

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. There 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. Whowouldntwant to be one? There also a sign of the times. Data scientists were't on many radars a decade ago, but their sudden popularity reflects how businesses now think aboutbig data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. Its 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. Its 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.