À propos de ce Spécialisation

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Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.

Résultats de carrière des étudiants
62 %
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. 10 mois pour terminer
3 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Chinois (simplifié), Arabe, Allemand
Résultats de carrière des étudiants
62 %
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. 10 mois pour terminer
3 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Chinois (simplifié), Arabe, Allemand

Cette Spécialisation compte 5 cours

Cours1

Cours 1

Quantitative Methods

4.7
étoiles
1,386 évaluations
485 avis
Cours2

Cours 2

Méthodes de recherche qualitative

4.5
étoiles
764 évaluations
255 avis
Cours3

Cours 3

Basic Statistics

4.7
étoiles
2,972 évaluations
767 avis
Cours4

Cours 4

Statistiques déductives

4.4
étoiles
385 évaluations
108 avis

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Université d'Amsterdam

Foire Aux Questions

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  • 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 10 months.

  • Each course in the Specialization is offered on demand, and may be taken at any time.

  • A basic understanding of scientific principles and research methods may be helpful, but is not required. Only very basic math skills are required, you should be able to perform: addition, subtraction, multiplication, calculation of square, square root, exponents and logarithms.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • 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.

  • At the end of this Specialization, you will be performing your own statistical analyses using the programming language R, with no prior knowledge of programming. Learners who complete the Research Methods and Statistics for Social Science Specialization will learn more about scientific rigor and integrity. You’ll have the methods, statistics and research skills required to complete a typical Masters program in the Social Sciences or the Johns Hopkins Data Science Specialization, and also be ready for more advanced courses on big data or multivariate statistics.

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