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PG Diploma in Data Science (Part-Time)

PG Diploma in Data Science (Part-Time)

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Course Highlights

  • Manipal University degree - India’s no. 1 private university

  • Industry Collaborations with Genpact, Experian and Big Data University

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Duration: 335 Days

Mode of learning: Classroom

Course Overview

What is this course about
  • PG DIPLOMA IN DATA SCIENCE FROM MANIPAL UNIVERSITY. Face to Face classes in Bangalore during the weekends.

  • Course Benefits:

  • Become A Data Scientist - Launch your career in data science by mastering Data Management, Statistics, Machine Learning and Big Data.

  • Tool Based Learning - Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm.

  • If you are looking to switch careers, get a chance to work in a leading organization with assured placement assistance.

  • Industry collaborations - The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University.

  • Best of Faculty - The course is taught by the best minds in the Analytics domain with over 15+ years of industry & analytics domain experience.

What are the course deliverables ?
  • Face to Face Classes in Bangalore during weekends (Saturday - Sunday)

  • Comprehensive curriculum: Industry-relevant course curriculum, with applications in multiple domains taught by highly experienced Subject Matter Experts from academia, IT and Data Science industry.

  • Instructor led learning: Instructor-led classroom sessions on weekends, complemented with assignments and case studies

  • Industry electives: Electives offered in topics on Analytics in Banking/Financial, or Retail or Operations Management. Industry project in Term 3 for part-time students.

  • Bridge Course - Primer on data analysis & programming to bring non-technical & non-IT students upto speed with data science concepts.

  • Term 1 (3.5 Months) - FOUNDATION OF DATA SCIENCE - Programming for Data Science, Database Management Systems, Statistical Techniques for Data Science, Exploratory Data Analysis

  • Term 2 (3.5 Months) - BASICS OF MACHINE LEARNING & BIG DATA - Machine Learning, Data Visualization, Big Data Technologies, Elective on Principles of Finance / Marketing

  • Term 3 (4 Months) ADVANCED DOMAIN & INDUSTRY APPLICATIONS - Machine Learning & Big Data Technologies, Banking/Marketing Analytics, Unstructured Data Analysis/Linear programming & Optimization

  • Term 3 also includes an Industry Project.

Who should do this course ?
  • Working professionals with a minimum of 2 years of work experience.

  • B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.

  • Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology

  • Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology

  • Min 50% marks or equivalent in the qualifying examinations.

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