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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
    EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

    Course Overview

    The PG Diploma In Data Science & AI by Indraprastha Institute of Information Technology, Delhi, is one of India's important programmes in Data Science. This program helps in bridging the gap between the supply and demand of data scientists for the industry. The candidates are well strengthened in the fundamentals of mathematics, statistics and trained with the intelligence to solve real-world problems. The PG Diploma In Data Science & AI certification syllabus is a 9-month programme spanning 450 hours of learning, including 310 hours of live sessions and self-study and 140 hours of project work. The programme is taught on weekends and offers a verified certificate and placement support. 

    The Highlights

    • 9-month programme
    • 450 hours learning
    • 310 hours self-study and lectures
    • 140 hours project work
    • 16 world-class faculty instructors
    • 30 credits programme
    • 3-trimester programme
    • Dual certificate (Diploma + IBM)
    • Placement support

    Programme Offerings

    • project work
    • live sessions.

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesIIIT DelhiIBM

    Post Graduate Diploma Program in Data Science and  Artificial Intelligence Fees Structure :

    Particulars

    Amount

    Non-refundable admission fee

    Rs. 2,000

    Programme fee

    Rs. 1,25,000 

    GST 

    Rs. 22,500 

    Total Fee 

    Rs. 1,60,000 


    Eligibility Criteria

    Work Experience

    Candidates enrolling for the PG Diploma In Data Science & AI need to have desirable work experience in their fields. 

    Education

    The PG Diploma In Data Science & AI online course requires the candidate to have a minimum 3 year Bachelor’s degree, preferably in Engineering, with 50% or 5.5 CGPA, with knowledge of two mathematics courses and one computer programming course.

    Certification Qualification Details

    For being awarded the PG Diploma In Data Science & AI certification, the candidate must attend the 450-hour long training covering lectures, assessments, and project work. 

    What you will learn

    Statistical skillsMachine learningData science knowledgeBusiness analytics knowledge

    The PG Diploma In Data Science & AI certification course will help students learn the following:

    • The PG Diploma In Data Science & AI certification syllabus will help students get a good understanding of mathematical analysis, statistics, and optimisation fundamentals
    • Candidates will develop knowledge of supervised and unsupervised machine learning techniques and related data analysis techniques
    • Candidates will gain the ability to solve real-world issues that arise in a variety of industries
    • Candidates will develop methods to apply visualisation tools and meaningful summary statistics to study data
    • Candidates will learn more about basic Extraction transformation and loading (ETL) on data
    • Candidates will get a theoretical grasp of techniques and intricacies in business analytics.  
    • Candidates will develop deep knowledge in a variety of business application domains

    Who it is for

    The PG Diploma In Data Science & AI certification course is for the following

    • Candidates who wish to learn and become data scientists in a relevant industrial sector


    Application Details

    For admission into the PG Diploma In Data Science & AI training, the applicant must follow the main steps provided below.

    • The candidate has to visit the official course webpage.
    • Click on the option “Apply Now” to begin the application process
    • The candidate has to complete all details regarding academic credentials and experience and pay the application fee
    • Upon evaluation of their profiles, candidates will get shortlisted for interviews
    • After the candidate successfully clears the interview, they will have to pay the programme fee and enrol in the programme

    The Syllabus

    Python Programming for analytics
    Probability and Statistics
    Mathematics and optimization theory
    Business Intelligence

    Introduction to Machine Learning
    Data Science
    Natural Language Processing
    Big Data Analytics in application
    Data Mining

    Application of ML/DL
    Deep Learning
    Artificial Intelligence in applications
    Project

    Instructors

    IIIT Delhi Frequently Asked Questions (FAQ's)

    1: What is the eligibility criteria to enroll for this certification?

    The PG Diploma In Data Science & AI training will require the candidate to have good knowledge of programming, mathematics and also possess a minimum 3 year Bachelor’s degree. 

    2: What is the admission process to enroll in this certificate course?

    The PG Diploma In Data Science & AI online course offers admission to candidates who are shortlisted for interviews after profile evaluation and can clear the interview for final selection.

    3: How is the course structure planned for the enrolled candidates?

    The programme offers 450 hours of coursework, including 310 hours of lectures and self-learning and 140 hours of project work. 

    4: What is the prominent edge provided to candidates by IIITD through this course?

    The IIITD, with its PG Diploma In Data Science & AI certification, provides quality infrastructure and facility, world-renowned faculty, quality education, alumni status, placement support and dual certification.

    5: What are some of the important programme offerings?

    The PG Diploma In Data Science & AI programme offers lab work, live lectures, and project work.

    6: What are some of the core areas covered in this programme?

    The programme covers some important modules and lectures in Statistics, Optimisation, Mathematical analysis, Unsupervised machine learning, Supervised machine learning, Visualisation tools, Data analysis, Extraction transformation and loading (ETL), and Business analytics.

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