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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf Study, Virtual ClassroomVideo and Text Based

    Course Overview

    The Capstone Exam in Statistics and Data Science online course culminating in an assessment allows learners to solidify and demonstrate their knowledge in probability, data analysis, statistics, and machine learning. This exam serves as the final requirement of the MITx MicroMasters Programme in Statistics and Data Science. The Capstone Exam in Statistics and Data Science certification by Edx follows an instructor-paced, instructor-led format and enrollment can be done either by selecting the audit mode which is free of cost but gives only limited access whereas the verified track offers unlimited but paid access.

    In this course, learners will have the opportunity to gain the skills needed from leading universities in India. The capstone exam is a virtual proctored exam and is the last part of the MicroMasters Programme in Statistics and Data Science. By completing the Capstone Exam in Statistics and Data Science certification course learners can earn their MicroMasters credential, demonstrating their proficiency in data science. This credential can also help learners accelerate their path towards an MIT PhD or a Master's degree at other universities.

    The Highlights

    • Approx. 4 weeks To Complete
    • Certification from MIT
    • Self-paced learning
    • Advance Level Course

    Programme Offerings

    • Certification
    • Live Video
    • Quiz
    • Activity

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesMIT Cambridge

    Eligibility Criteria

    Certification Qualifying Details of Capstone Exam in Statistics and Data Science

    Completion of the Capstone Exam in Statistics and Data Science training is enough for certification.

    What you will learn

    During the Capstone Exam in Statistics and Data Science classes, participants will:

    • Solid understanding of probability theory
    • Proficiency in data analysis techniques
    • In-depth knowledge of statistical methods
    • Ability to apply machine learning algorithms and techniques
    • Mastery of statistical modelling and inference
    • Competence in data visualisation and interpretation
    • Strong foundation in statistical programming languages and tools
    • Expertise in handling and analysing large datasets

    Who it is for

    The Capstone Exam in Statistics and Data Science certification syllabus is designed for individuals who are interested in pursuing a career in the field of data science or related professions. For example–


    Admission Details

    Follow the steps below to join the online course.

    Step 1- Click on the link below:

    https://www.edx.org/learn/data-science/massachusetts-institute-of-technology-capstone-exam-in-statistics-and-data-science

    Step 2- Click on the “Enrol Now” button and register on the platform.

    Step 3- Upon successful payment of fees the course becomes available.

    Instructors

    MIT Cambridge Frequently Asked Questions (FAQ's)

    1: How long is the Capstone Exam in Statistics and Data Science online course and how many hours per week should I commit?

    The course spans 4 weeks, and it is recommended to commit 10 to 14 hours per week.

    2: Is the course instructor-paced or self-paced?

    The course follows an instructor-paced format, with a course schedule to guide learners.

    3: Can I earn a degree upon completing the Capstone Exam?

    Completing the Capstone Exam earns you a MicroMasters credential, which demonstrates proficiency but is not equivalent to a full degree.

    4: Is there a fee to enrol in the Capstone Exam in Statistics and Data Science online certification course?

    Yes, there is a fee associated with enrolling in the Capstone Exam. The price can be found on the edX website.

    5: Can I take the exam without completing the other courses in the MicroMasters Programme?

    No, the Capstone Exam is the final requirement of the MITx MicroMasters Programme and can only be taken after completing the programme's four courses.

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