À propos de ce Spécialisation

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Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.

Résultats de carrière des étudiants
50 %
ont commencé une nouvelle carrière après avoir terminé ce spécialisation.
14 %
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 débutant
Approx. 2 mois pour terminer
4 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Chinois (traditionnel), Arabe, Russe, Turc, Hindi, Japonais, Indonésien, Espagnol...
Résultats de carrière des étudiants
50 %
ont commencé une nouvelle carrière après avoir terminé ce spécialisation.
14 %
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 débutant
Approx. 2 mois pour terminer
4 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Chinois (traditionnel), Arabe, Russe, Turc, Hindi, Japonais, Indonésien, Espagnol...

Cette Spécialisation compte 5 cours

Cours1

Cours 1

A Crash Course in Data Science

4.5
étoiles
6,216 évaluations
1,187 avis
Cours2

Cours 2

Building a Data Science Team

4.5
étoiles
2,842 évaluations
388 avis
Cours3

Cours 3

Managing Data Analysis

4.6
étoiles
2,618 évaluations
354 avis
Cours4

Cours 4

Data Science in Real Life

4.4
étoiles
1,927 évaluations
222 avis

Offert par

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Université Johns-Hopkins

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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.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 2 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.

  • A basic understanding of how data can be used in an industry, academic, or government environment.

  • We recommend that you take the courses in the following order: Crash Course in Data Science, Building a Data Science Team, Managing Data Analysis, Data Science in Real Life

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Upon completion, you will be qualified to lead a team of data scientists. You will know how to ask the right questions, recruit the right people, and manage the full team as you work through the entire data science pipeline. The skills you learn in this specialization will prepare you to harness the potential of the data scientists in your organization and deliver world-class analyses to your clients and stakeholders.

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