This online course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
This course is part of the Data Structures and Algorithms Specialization
Offered By
About this Course
What you will learn
Essential algorithmic techniques
Design efficient algorithms
Practice solving algorithmic interview problems
Implement efficient and reliable solutions
Skills you will gain
- Dynamic Programming
- Debugging
- Software Testing
- Algorithms
- Computer Programming
Offered by
Syllabus - What you will learn from this course
Programming Challenges
Algorithmic Warm-up
Greedy Algorithms
Divide-and-Conquer
Reviews
- 5 stars71.83%
- 4 stars21.58%
- 3 stars4.23%
- 2 stars0.98%
- 1 star1.36%
TOP REVIEWS FROM ALGORITHMIC TOOLBOX
it's great learning experience, the course has rich and diverse content. I have really improved my algorithmic thinking. the assignment was really challenging but I'm glad to be able to solve them
good technique implemented for learning and exploring about big data(primitive) handling, and other study stuffs and additional slides are quite helpful to understand algorithm and its implementation.
I loved this course as it has taught me the basics of every algorithm that needs to be implemented in daily life of a programmer.
I have learned a good amount of techniques from this course.
The course was really amazing which provided deep knowledge from basic to advance that how algorithms works and how to design algorithms. Thanks to all the expert teachers who taught in this course.
About the Data Structures and Algorithms Specialization

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