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Mining Courses. There are a few types of mining programs available, each with different focuses or different levels of training. These include: Mining Techniques. Mining techniques programs are introductory one-year certificate programs that prepare students for entry-level work in the mining industry or for continued mining education.
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Become a data mining expert through three short courses This flexible program of online courses is aimed at anyone who deals in data and is seriously concerned about obtaining information from it. You'll begin with a practical introduction to data mining and learn to mine your own data using the popular Weka workbench.
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Learn the best data mining techniques and tools from top-rated Udemy instructors. Whether you're interested in data mining using R, Python and SAS, or implementing machine learning techniques for data mining, Udemy has a course to help you achieve your goals.
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The book is based on Stanford Computer Science course CS246: Mining Massive Datasets (and CS345A: Data Mining). The book, like the course, is designed at the undergraduate computer science level with no formal prerequisites. To support deeper explorations, most of the chapters are supplemented with further reading references.
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Presented in video format, students may view the lectures for these courses through the school website or on iTunes, and learners have the option of getting live help through online study groups.
Workshop R. Pelatihan terhadap bahasa pemograman R. Pelatihan dilakukan secara online. Pelatihan dibagi kedalam 2 bagian utama, yaitu pemograman dasar dan data mining. Peserta dari Workshop R adalah mahasiswa Teknik Industri ITB, Manajemen Rekayasa ITB, S2 dan S3 Teknik Industri ITB, berjumlah 60 orang. Workshop diadakan selama 2 hari, yaitu 31 ...
The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.
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This course introduces you to practical data mining using the Weka workbench. We'll dispel the mystery that surrounds the subject. We'll explain the principles of popular algorithms. We'll show you how to use them in practical applications. You'll get plenty of experience actually mining data during the course, and afterwards you'll ...
Earn a Stanford Graduate Certificate in Mining Massive Data Sets. Begin the program any academic quarter that an applicable course is offered, subject to prerequisites. Take courses for graduate credit and a grade. Receive a B (3.0) or better in each course. Students must take the two required courses, and choose two elective courses from the list.
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