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    Stanford University

    Mining Massive Datasets

    Stanford, United States1 weekTaught in EnglishOnlineOpen to international students

    Why students choose this program

    • Taught in English
    • No application fee
    • Study online, from anywhere

    About Mining Massive Datasets

    Tuition is $120 USD; applications are due Anytime.

    Mining Massive Datasets is a non-degree program for students who want to learn about data mining and analysis. It's a 1-week online program at Stanford University. The program helps students develop skills to work with large datasets and extract valuable insights.

    The curriculum covers topics such as data mining, machine learning, and data visualization. Students will learn how to collect, analyze, and interpret large datasets, and develop skills to present their findings effectively. The program includes hands-on components to help students practice their skills and work on real-world projects.

    After completing this program, students can pursue careers as Data Analysts, Business Intelligence Developers, Data Scientists, or Quantitative Analysts. They can work in various industries, including finance, healthcare, or technology. The skills they develop will help them succeed in these roles and drive business growth through data-driven decision making.

    About Stanford University

    Stanford University is a school in Stanford, United States, founded in 1891. It has 16937 students, including 4153 international students, and offers 117 programs.

    The university has a high rating and many positive reviews. It has excellent classes, facilities, and accommodation.

    The campus is located in Stanford, a city with a perfect rating. Students can enjoy the city and its benefits, with a perfect rating for value for money.

    Planning the visa? United States student visa: cost, requirements and processing time (from $535 all-in)

    Related Programs You Can Apply To

    Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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