About this Course

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Shareable Certificate
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100% online
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Advanced Level

Completion of previous courses. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.

Approx. 38 hours to complete
English

What you will learn

  • Describe basic algorithm design techniques

  • Create divide and conquer, dynamic programming, and greedy algorithms

  • Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems

Skills you will gain

  • Analysis of Algorithms
  • Algorithm Design
  • Python Programming
  • Data Structure Design
  • Intractability
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level

Completion of previous courses. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.

Approx. 38 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your degree

This Course is part of an online degree program offered by the University of Colorado Boulder. When you enroll in a for-credit non-degree course through the university and complete it online, it counts as credit hours towards a degree at CU-Boulder. All you have to do is apply through the university.

Syllabus - What you will learn from this course

Week
1
Week 1
11 hours to complete

Divide and Conquer Algorithms

11 hours to complete
9 videos (Total 231 min), 11 readings, 6 quizzes
Week
2
Week 2
9 hours to complete

Dynamic Programming Algorithms

9 hours to complete
6 videos (Total 131 min), 6 readings, 6 quizzes
Week
3
Week 3
7 hours to complete

Greedy Algorithms

7 hours to complete
5 videos (Total 102 min), 4 readings, 4 quizzes
Week
4
Week 4
11 hours to complete

Intractability and Supplement on Quantum Computing

11 hours to complete
9 videos (Total 288 min), 5 readings, 5 quizzes

Reviews

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About the Data Science Foundations: Data Structures and Algorithms Specialization

Data Science Foundations: Data Structures and Algorithms

Frequently Asked Questions

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