À propos de ce Spécialisation

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This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.

Résultats de carrière des étudiants
50 %
ont commencé une nouvelle carrière après avoir terminé ce spécialisation.
50 %
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. 7 mois pour terminer
4 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Arabe, Chinois (simplifié), Italien, Portugais (brésilien), Coréen, Allemand, Russe, Espagnol, Turc, Roumain, Grec, Télougou...
Résultats de carrière des étudiants
50 %
ont commencé une nouvelle carrière après avoir terminé ce spécialisation.
50 %
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. 7 mois pour terminer
4 heures/semaine recommandées
Anglais
Sous-titres : Anglais, Arabe, Chinois (simplifié), Italien, Portugais (brésilien), Coréen, Allemand, Russe, Espagnol, Turc, Roumain, Grec, Télougou...

Cette Spécialisation compte 7 cours

Cours1

Cours 1

An Introduction to Interactive Programming in Python (Part 1)

4.8
étoiles
2,707 évaluations
791 avis
Cours2

Cours 2

An Introduction to Interactive Programming in Python (Part 2)

4.9
étoiles
1,034 évaluations
257 avis
Cours3

Cours 3

Principles of Computing (Part 1)

4.8
étoiles
510 évaluations
84 avis
Cours4

Cours 4

Principles of Computing (Part 2)

4.8
étoiles
308 évaluations
46 avis

Offert par

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Université de Rice

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.

  • The Specialization is designed to be completed in 6-9 months.

  • Knowledge of high school mathematics is required. No previous programming knowledge is required.

  • We strongly encourage students to take the courses in the Specialization in the listed order. Each class builds on the previous classes.

  • No.

  • You will be able to analyze a range of interesting application problems and write moderate-size Python programs (300-500 lines) that solve these problems.

  • This Specialization is based on the freshman Computer Science curriculum at one of the top-ranked universities in the world. The material is designed to be fun and challenging while helping you gain the skills necessary to be successful in advanced Computer Science classes.

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