About this Course

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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 Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

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), 10 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 114 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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