About the program

An internship in big data can provide students with valuable computational experience and prepare them for a career in many different fields, whether in big data or related industries such as finance, marketing, banking, and retail.For students seeking to work in big data or a related field, there are no real major disadvantages to such internships. Unlike other types of internships that are often unpaid, many of these internships are paid and can lead to more permanent work in a field that is lucrative and rapidly expanding. The technical expertise required by the field means that the skills needed for an internship are in short supply compared to traditional internships. Anyone interested in big data and its applications should consider applying to internships in the field. Students interested in a career using big data should be good with computers and numbers and have an interest in technology. Soft skills such as practical thinking, initiative, and communication skills are essential. Data scientists must have strong knowledge in statistics and programming. If you are interested in big data internships but do not have the technical skills, check out the following sections for more information to get up to speed in the field.Big Data internships are tech-intensive and require a background in computer science, machine learning, statistics, artificial intelligence, finance, or related fields. Big data interns should also have good communication skills as the main role of big data professionals is to make a surplus of confusing and varied data make sense, and to be able to relate computational findings to people who may not have a math or science background. In a sense, people who work in the field of big data are data consultants, who are able to interpret a vast library of data and see patterns and trends that can help power decision-making and strategy for businesses and other organizations. Experience with Machine Learning algorithms, as well as familiarity with concepts relating to Artificial Intelligence and Internet of Things, is a plus. You may also want to take some time to familiarize yourself with Hadoop, which is an open-source software framework used widely in data science for storing data and running applications.

Perks

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 8 Weeks
4. have relevant skills and interests

Terms of Engagement

The Terms of Engagement Will be as per TULIP Handbook and TULIP Guidelines

Number of openings

50