Is going for SAS course a right option for an un-placed computer science engineer? Or, is GATE a better option?

Hi Shashank, Broadly speaking, to begin a career as a data scientist, you need an advanced degree in a scientific discipline like Statistics, Mathematics or one of the Sciences and a strong technical background. You also need to develop a deep expertise in diverse analytical tools like SAS, Hadoop and R. It’s also beneficial to have had previous exposure to working with large amounts of data, preferably even some data mining algorithms. In order to solve your query I would like to inform you that Graduate Aptitude Test in Engineering (GATE) is an all India examination administered and conducted jointly by the Indian Institute of Science and Seven Indian Institutes of Technology on behalf of the National Coordination Board-GATE, Department of Higher Education, Ministry of Human Resource Development (MHRD), Government of India. M.Tech aspirants can apply for GATE exam as it is an all India test. The test is administered by top technology institutes. To prepare for the exam your preparation requires the right approach along with the right study materials and strategy. Routinize your day effectively. The preparation requires focused study rather than plain hard work. You need to know what sections the test paper consists of. Know your strengths, work on your weaknesses on start working on it. Start your preparation after gauging your weaknesses. There are numerous institutes in the country to coach yourself like Elite Academy, Brilliant Tutorials, Career Forum, Vani Institute, IES GATE Academy, etc. For the further detailed answering to your query I am sending you a link regarding GATE test. Hope it helps. tinyurl.com/5u2c95w After understanding basics, you should start taking regular mock tests to know your preparation status. Your strategy for success must include: early, continuous and serious preparation, starting right now. For any further clarification do post your query, in case it resolves please close the thread by liking it or marking it as best answer. Wish you luck!

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