About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 9 months to complete

Suggested 7 hours/week

English

Subtitles: English, Chinese (Simplified), Arabic, German

Skills you will gain

StatisticsStatistical InferenceR ProgrammingQualitative Research
Learners taking this Specialization are
  • User Experience Researchers
  • Researchers
  • Data Analysts
  • Data Scientists
  • Tutors

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 9 months to complete

Suggested 7 hours/week

English

Subtitles: English, Chinese (Simplified), Arabic, German

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 5 Courses in this Specialization

Course1

Quantitative Methods

4.7
1,133 ratings
376 reviews
Course2

Qualitative Research Methods

4.5
627 ratings
197 reviews
Course3

Basic Statistics

4.7
2,359 ratings
606 reviews
Course4

Inferential Statistics

4.4
328 ratings
91 reviews

Instructors

Avatar

Annemarie Zand Scholten

Assistant Professor
Economics and Business
Avatar

Gerben Moerman

Dr.
Faculty of Social and Behavioural Sciences
Avatar

Matthijs Rooduijn

Dr.
Department of Political Science
Avatar

Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

About University of Amsterdam

A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 600 million euros, it is one of the largest comprehensive universities in Europe. It is a member of the League of European Research Universities and also maintains intensive contact with other leading research universities around the world....

Frequently Asked Questions

  • 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.

  • 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.

More questions? Visit the Learner Help Center.