Foundations of Data Structures and Algorithms Specialization

Foundations of Data Structures and Algorithms Specialization

Foundations of Data Structures and Algorithms Specialization Taught in English 22 languages available Some content may not be translated Instructor: Sriram Sankaranarayanan Enroll for Free Starts Mar 21 Financial aid available 7,039 already enrolled Included with • Learn more Specialization – 5 course series Get in-depth knowledge of a subject 4.7 (300 reviews) Advanced level

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Description

Foundations of Data Structures and Algorithms Specialization: A Comprehensive Overview

Data ‍structures and algorithms form the backbone of computer science, enabling efficient and effective problem-solving in the realm of​ software development. The Foundations of Data Structures and Algorithms Specialization is a ⁣comprehensive course ⁣designed to equip participants with the fundamental knowledge and skills required to excel in this field.

Offered‍ by⁢ a renowned institution, this specialization comprises a series of courses that ⁤cover⁢ a wide range of topics, from basic data ⁤structures such as arrays and linked lists to more⁤ advanced concepts ⁣like graph ‌algorithms and dynamic programming. Participants will​ learn how to analyze the time ⁢and⁣ space complexity of algorithms, implement ‍various data ‌structures in different programming languages, and ⁢solve complex problems using algorithmic techniques.

One⁢ of the key highlights of this specialization is its​ hands-on

Foundations of Data Structures and Algorithms Specialization

Taught in English

Some content may not be translated

7,039 already enrolled

Included with Coursera Plus

Specialization – 5 course series

Get in-depth knowledge of a subject

4.7

(300 reviews)

Advanced level

Recommended experience

6 months at 10 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

What you’ll learn

  • Organize, store and process data efficiently using sophisticated data structures and algorithms

  • Design algorithms and analyze their complexity in terms of running time and space usage

  • Create applications that are supported by highly efficient algorithms and data structures for the task at hand

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