About this Course

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Advanced Level

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

Approx. 34 hours to complete
English

What you will learn

  • Define basic tree data structures and identify algorithmic functions associated with them

  • Execute traversals and create graphs within a binary search tree structure

  • Describe strongly connected components in graphs

Skills you will gain

Analysis of AlgorithmsAlgorithm DesignPython ProgrammingData Structure DesignGraphs Algorithms
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 the previous course. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.

Approx. 34 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

9 hours to complete

Binary Search Trees and Algorithms on Trees

9 hours to complete
5 videos (Total 147 min), 8 readings, 6 quizzes
Week
2

Week 2

8 hours to complete

Basics of Graphs and Graphs Traversals

8 hours to complete
7 videos (Total 125 min), 6 readings, 5 quizzes
Week
3

Week 3

8 hours to complete

Union-Find Data Structures and Spanning Tree Algorithms

8 hours to complete
5 videos (Total 127 min), 5 readings, 5 quizzes
Week
4

Week 4

8 hours to complete

Shortest Path Algorithms

8 hours to complete
6 videos (Total 155 min), 6 readings, 4 quizzes

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About the Data Structures and Algorithms Specialization

Data Structures and Algorithms

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