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Compare SkilloVilla Data Science and Machine Learning Vs IIT Madras

Compare SkilloVilla Data Science and Machine Learning and IIT Madras PG Level Advanced Programme in Applied Data Science and Machine Intelligence course on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses and other details. IIT Madras PG Level Advanced Programme in Applied Data Science and Machine Intelligence course is rated 4.6 out of 5 by 1 genuine verified students. Explore Shiksha for detailed comparison on all course parameters and Download free information on Certificate Admission details, Pl
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Compare SkilloVilla Data Science and Machine Learning Vs IIT Madras

Compare SkilloVilla Data Science and Machine Learning and IIT Madras PG Level Advanced Programme in Applied Data Science and Machine Intelligence course on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses and other details. IIT Madras PG Level Advanced Programme in Applied Data Science and Machine Intelligence course is rated 4.6 out of 5 by 1 genuine verified students. Explore Shiksha for detailed comparison on all course parameters and Download free information on Certificate Admission details, Placement report, Eligibility criteria etc.
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SkilloVillaData Science and Machine Learning
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IIT Madras - Indian Institute of TechnologyPG Level Advanced Programme in Applied Data Science and Machine Intelligence
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SkilloVillaAll over IndiaData Science and Machine Learning
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IIT Madras - Indian Institute of TechnologyChennaiPG Level Advanced Programme in Applied Data Science and Machine Intelligence
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Institute Information
Total Courses (11)
11 Courses
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1959
Public/Government, Autonomous
Total Courses (117)
9 Courses
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Course Details
Certificate
Certificate
27 weeks
Part Time, Online
Certificate
Certificate
1 years
Full Time, Classroom
Student Rating & Reviews
–
Overall Rating
4.6
Based on 1 verified review
View All Reviews
Placement
–
INR 9.00 Lakh
INR 17.80 Lakh
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Course Fees
INR 37,581
(for 27 weeks)
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INR 2.50 Lakh
(for 1 years)
Get Fee Details
Infrastructure & Facilities
    • Library
    • Cafeteria
    • Hostel
    • Sports Complex
    • Gym
    • Hospital / Medical Facilities
    • Wi-Fi Campus
    • Shuttle Service
    • Auditorium
    • Convenience Store
    • Labs
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