What is the eligibility & admission process for Big Data and Analytics? What are the benefits of pursuing the same?

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Big data analytics helps organizations control their data and use it to identify new opportunities. This leads to smarter business moves, more efficient operations, and higher profits. Eligibility: This course is offered in both undergraduate as well as post graduate degrees. For UG, you need to have at least 60% in 10+2 or equivalent. One may also need to clear the entrance tests for some universities. For PG programs, the admission is mostly based on entrance exams only. Job prospects: One can work as Data scientist, Big data consultant, Data center engineer, Analyst, Big data architect etc. There are many companies that hire Big data and analytics professionals. Some of the top companies are Amazon.com, Apple, Microsoft, Schneider electric, Google, JPMorgan, Facebook and counting. Pay scale: A big data analyst can get an initial salary of 4-6 lakhs per annum and if they have more qualifications and work experience then, they can earn a lot.

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Top Institutes offering big data analytics course – DIT University, Dehradun Banasthali Vidyapith, Jaipur NIIT University, Neemarana PEC University of Technology, Chandigarh Graphic Era University, Dehradun Vishvakarma Institute of Technology, Pune Arya Institute of Engineering and Technology, Jaipur IIT- Hyderabad Eligibility - Candidates having qualified 10+2 in physics, chemistry and maths as main subjects with a minimum aggregate score of 60% in classes X and XII are eligible to apply for the course. This percentage criterion, however, may vary across institutes. Admission - Through JEE Mains score, the minimum aggregate of 60% required in Higher & Senior Secondary levels with Physics, Chemistry & Mathematics as the main subjects at the Senior Secondary level. Job opportunities- Web crawlers and in-house Data Scientists are needed today in almost every industry, for purposes like a collection of data from internal and publicly available data sources. Top companies like IBM, TCS, Google, INFOSYS, Accenture and Microsoft require: Big Data Analytics and Reporting Big Data Developer Big Data Architect Pay Scales varies from 5-6 LPA to up to 14-15 LPA.

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Hello, With the advertisement based business model evolving around the corner, most businesses have shifted into this evolving paradigm. Data mining and collection of useful data from consumers without affecting consumer's privacy and Data Analytics - Analyzing the data collected to estimate consumers’ needs and developing business strategies accordingly, have become the focus of many companies. The large volume of data collected is known as Big Data. Pursuing Big Data and Analytics course helps a student to find enormous opportunities in jobs and research domain. However, with the evolution of automation, it is also not a denying fact that such jobs might soon be replaced by automated machines, which can deliver same level of efficiency. Big Data and Analytics is a specialization in many PG courses in the field of computers. Many institutes provide certification courses on Big Data. But, it is recommended to pursue it as a Post - Graduation degree because it requires knowledge on a vast range of domains, which include - 1. Statistical and Probabilistic Analysis: One needs to have a stronghold on Mathematics. 2. R Programming Language or Python etc.: One needs to have strong knowledge on the programming language to be used to analyze the data. 3. Data Mining: One needs to be aware of the various techniques used to extract useful information and ways to optimize them. 4. Database Design: One has to be aware of the various database skills used to store the extracted information. To enroll into Data Analytics course, a person has to enroll into a college which provides Data - Analytics as a specialization or an institute providing certification on Big Data. The admission criteria varies from one college / institute to another.

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