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PG Diploma in Big Data Analytics (PG-DBDA)

PG Diploma in Big Data Analytics (PG-DBDA)

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Course Highlights

  • 24-week full-time courses with 900 hours' theory + lab + project.

  • Expert faculty from C-DAC, Excellent placement records

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Duration: 180 Days

Mode of learning: Classroom

Course Overview

Who should do this course ?
  • The theoretical and practical mix of the Post Graduate Diploma in Big Data Analytics (PG-DBDA) programme has the following focus:

  • To explore the fundamental concepts of big data analytics

  • To develop in-depth knowledge and understanding of the big data analytic domain.

  • To learn to analyze the big data using intelligent techniques.

  • To understand the various search methods and visualization techniques.

  • To learn to use various techniques for mining data stream.

  • To understand the applications using Map Reduce Concepts

  • To analyze and solve problems conceptually and practically from diverse industries, such as government manufacturing, retail, education, banking/ finance, healthcare and pharmaceutical.

  • To undertake consulting projects with significant data analysis component for better understanding of the theoretical concepts from statistics, economics and related disciplines.

  • To undertake industrial research projects for the development of future solutions in the domain of data analytics to make an impact in the technological advancement.

What are the course deliverables ?
  • Well established courses with excellent placement records.

  • 24-week full-time courses with 900 hours' theory + lab + project.

  • 8 hours per day theory + lab sessions on 6 days a week in most centres.

  • Continuous lab and internal assessments during the course.

  • Centralised course-end theory exams across all centres.

  • Courses designed and developed in consultation with the domain experts in C-DAC, academia and ICT industry.

  • Syllabus regularly updated with the latest trends in the ICT industry.

  • Expert faculty from C-DAC and ICT industry with widespread domain knowledge.

  • Tutorials, hands-on and projects relevant to the standards of the ICT industry.

  • Well equipped computer labs with internet that can be accessed most of the time.

  • Special training on aptitude, effective communication and interview skills.

  • Extensive placement orientation and region-wise common campus placements.

  • Excellent participation from top ICT companies in campus placements.

  • Graduate in Engineering or equivalent (e.g. BE / BTech / 4-year BSc Engg / AMIE / DoEACC B Level) in IT / Computer Science / Electronics / Telecommunications / Electrical / Instrumentation. OR

  • Post Graduate Degree in Engineering Sciences with corresponding basic degree (e.g. MSc in Computer Science, IT, Electronics) OR

  • Graduate in any discipline of Engineering or equivalent, OR

  • Post Graduate Degree in Mathematics / Statistics / Physics / MBA Systems, OR

  • MCA

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    Sandhaya Kumari

    CDAC is the Best Institution but they have provided so many courses other than that BIGDATA.If you are joining for knowledge purpose, big thumbs up! you are good to go
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