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. 4 months to complete

Suggested 9 hours/week

English

Subtitles: English, Vietnamese
User
Learners taking this Specialization are
  • Machine Learning Engineers
  • Risk Managers
  • Engineers
  • Data Scientists
  • Data Engineers

Skills you will gain

C ProgrammingCompilerDebugging
User
Learners taking this Specialization are
  • Machine Learning Engineers
  • Risk Managers
  • Engineers
  • Data Scientists
  • Data Engineers

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 4 months to complete

Suggested 9 hours/week

English

Subtitles: English, Vietnamese

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 4 Courses in this Specialization

Course1

Programming Fundamentals

4.7
1,299 ratings
308 reviews
Course2

Writing, Running, and Fixing Code in C

4.5
257 ratings
46 reviews
Course3

Pointers, Arrays, and Recursion

4.5
120 ratings
28 reviews
Course4

Interacting with the System and Managing Memory

4.5
58 ratings
12 reviews

Instructors

Avatar

Andrew D. Hilton

Associate Professor of the Practice
Electrical and Computer Engineering
Avatar

Genevieve M. Lipp

Assistant Professor of the Practice
Electrical and Computer Engineering/Mechanical Engineering and Materials Science
Avatar

Anne Bracy

Senior Lecturer
Computer Science, Cornell University

About Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and 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.

  • Each course is designed to take 4 weeks of study, with 6–8 hours per week. Some learners may work through the specialization more or less quickly.

  • This specialization is for learners who have an interest in learning how to program, for people with no programming experience or for people with some experience who would like to gain solid fundamentals and a deeper understanding of how to program effectively.

  • If you are new to programming, you should take the courses in order. Otherwise, you could start with Course 2 or Course 3, depending on your previous experience. Intermediate programmers new to C may like to start with Course 1 to learn the basics of syntax (and review algorithm design relevant to all languages).

  • Successfully completing the Specialization confers a Coursera Certificate with the instructors' signatures. This is different from Duke University course credit.

  • You will be able to approach a programming problem systematically, from designing an algorithm, to implementing it in code, to thoroughly testing your code. You will have a strong foundation in programming principles and be able to use C syntax fluently. Your final project will prove you can write a sophisticated program of intermediate scale—a Monte Carlo simulation to calculate poker hand probabilities.

  • Successful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.

More questions? Visit the Learner Help Center.