Courses Detailed

Data Science

datascience

Course Overview

Join the Expert Program on Data Science

Data Science continues to be a hot topic among skilled professionals and organizations that are focusing on collecting data and drawing meaningful insights out of it to aid business growth. A lot of data is an asset to any organization, but only if it is processed efficiently. The need for storage grew multifold when we entered the age of big data. Until 2010, the major focus was towards building a state of the art infrastructure to store this valuable data, that would then be accessed and processed to draw business insights. With frameworks like Hadoop that have taken care of the storage part, the focus has now shifted towards processing this data. Let us see what is data science, and how it fits into the current state of big data and businesses.

data science
data science

We have come a long way from working with small sets of structured data to large mines of unstructured and semi-structured data coming in from various sources. The traditional Business Intelligence tools fall short when it comes to processing this massive pool of unstructured data. Hence, Data Science comes with more advanced tools to work on large volumes of data coming from different types of sources such as financial logs, multimedia files, marketing forms, sensors and instruments, and text files.

Course Eligibility

Join the Expert Program on Data Science

  • Students from engineering, economics, statistics, mathematics, computer science backgrounds pursue data science courses. Although, students from non-traditional backgrounds such as finance or management can also pursue data science courses.
  • The basic data science course eligibility criteria are passing class 12 (for bachelors in data science) with 50% aggregate marks and clarity of basic concepts of mathematics and statistics (Probability, Calculus, Algebra).
datascience
  • When applying for a master's in data science, the candidate needs to score 50% marks at the graduation level (engineering/maths/science/commerce/economics/finance) and is also expected to have the basic knowledge of programming languages like Python, C, C++, Java, or R, that have major applications in data science.
  • Graduates of data science are expected to be proficient in writing a basic SQL query and know about machine learning and its’ algorithms to perfectly fit for the data science job roles.

Opportunities

Join the Expert Program on Data Science

This program comes with guaranteed interview opportunities for learners who complete the program successfully. We have over 400 placements partners who have been conducting placement drives and recruiting our students over these years.

We have over 400 placements partners who have been conducting placement drives and recruiting our students over these years.

datasciene

We have placed over 4200+ students and have been successfully placing them even during the pandemic. Check our monthly Placement Newsletter for more details.

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