À propos de ce Spécialisation

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The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. 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.

Résultats de carrière des étudiants
50 %
ont commencé une nouvelle carrière après avoir terminé ce spécialisation.
33 %
ont obtenu une augmentation de salaire ou une promotion.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau intermédiaire
Approx. 8 mois pour terminer
4 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Coréen, Chinois (simplifié)
Résultats de carrière des étudiants
50 %
ont commencé une nouvelle carrière après avoir terminé ce spécialisation.
33 %
ont obtenu une augmentation de salaire ou une promotion.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau intermédiaire
Approx. 8 mois pour terminer
4 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Coréen, Chinois (simplifié)

Cette Spécialisation compte 6 cours

Cours1

Cours 1

Visualisation de données

4.5
étoiles
1,005 évaluations
237 avis
Cours2

Cours 2

Récupération de texte et moteurs de recherche

4.5
étoiles
698 évaluations
151 avis
Cours3

Cours 3

Exploitation de text et analytique

4.5
étoiles
533 évaluations
119 avis
Cours4

Cours 4

La découverte de répétitions dans l'exploration de données

4.3
étoiles
261 évaluations
51 avis

Offert par

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Université de l'Illinois à Urbana-Champaign

Commencez à travailler pour obtenir votre master

Ce spécialisation fait partie du diplôme intégralement en ligne Master in Computer Science de Université de l'Illinois à Urbana-Champaign. Si vous êtes admis au programme complet, vos cours seront pris en compte dans votre apprentissage diplômant.

Foire Aux Questions

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • Time to completion can vary widely based on your schedule. Most learners are able to complete the Specialization in 4-5 months.

  • Each course in the Specialization is offered on a regular schedule with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • Comfortable with computer programming in multiple programming languages

    Basic knowledge of probability and statistics

  • It is recommended that the courses in the Specialization be taken in the order outlined. In the Capstone Project, you will have the opportunity to synthesize your learning in all the courses and apply your combined skills in a final project.

  • MCS courses in Coursera do not carry University of Illinois credit on their own. Each course has an enhanced for-credit component. You can earn academic credit if you combine an MCS Coursera course with the enhanced for-credit component offered on the University of Illinois platform. Some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • At completion of this Specialization in Data Mining, you will (1) know the basic concepts in pattern discovery and clustering in data mining, information retrieval, text analytics, and visualization, (2) understand the major algorithms for mining both structured and unstructured text data, and (3) be able to apply the learned algorithms to solve real-world data mining problems.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.