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DATA IS KING !

This course will enable you to specialize in Data Science, a rapidly expanding field. Big Data Analysts use advanced computational software to find patterns, trends and associations in data. The curriculum will make you proficient in Data Technologies, Harvesting, Mining and Distributed Processing.

Data never sleeps. Every day, 2.5 billion GB of data is generated.
In fact, 90% of all data was created in the last two years.

What can we predict with so much data?

  • Which party will rule the country?
  • Will toor dal’s price fall next month?
  • Which market would be profitable coming July?
  • At what time of the year can you buy the Duke you always wanted?

HIGHLIGHTS

  • Curriculum designed by the industry experts
  • Skilled faculty (Subject Matter Expert) through International Certifications
  • Practical Oriented Teaching and Real time Project exposure through internships
  • Thinking based questions in Assessments
  • Study with the researchers and In campus industry experts
  • Internship/placement support for final semester
  • Special placement training by the Experts from industry at free of cost

COURSE FEATURES

  • Machine Learning
  • ETL (Pentaho)
  • Descriptive Analytics
  • Predictive analytics
  • Visualization using Tableau & Power BI
  • Big Data Technologies(Spark, Hadoop, Pig & Hive)
  • Neural Networks & Deep Learning
  • R & Python Programming
  • MongoDB & Cassandra

JOB OPPORTUNITIES

Data Analysts earn 50% more than other IT professionals. Your skills will be applicable across multiple industries. Moreover, possessing such integral skills will naturally make you a key part of any organization with significant decision-making power.

  • Big Data Analyst
  • BI Developer
  • Excel Developer
  • Data Analyst

ADMISSIONS

ELIGIBILITY

Graduate in B.Sc. Computer Science/ BCA / B.Sc. (Information Technology) / B.Sc. (Computer Technology) /B.Sc. (Electronic and Communication Systems) / B.Sc. (Electronics)

COURSE DURATION

2 years, four semesters

TUITION FEE

Rs. 17,000 per semester

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