Download Coursera – Foundations of Data Structures and Algorithms Specialization 2024-5

Foundations of Data Structures and Algorithms Specialization

Description

Foundations of Data Structures and Algorithms Specialization, the training course on the basics of data structures and algorithms is published by Coursera Academy. Building fast and highly functional data science applications requires a detailed knowledge of how data is organized in the computer and how to effectively perform operations such as sorting, searching, and indexing. This course will teach the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is targeted for students who are interested in programming and process a large amount of data (expertise in data science is not required) and are familiar with the principles of programming in Python. We will learn about various data structures including arrays, hash tables, heaps, trees and graphs along with algorithms including sorting, searching, traversal and shortest path. This specialization can be considered as part of CU’s MS in Data Science or MS in Computer Science offered on the Coursera platform. Admission is based on performance in three introductory courses, not academic record. CU degrees on Coursera are ideal for recent graduates or working professionals. Students will solve data structure problems by analyzing and designing algorithms for searching, sorting and indexing, creating trees and graphs, and dealing with inconsistencies. Courses also include conceptual algorithm design issues as well as opportunities to program data structures/algorithms in the Python programming language.

What you will learn

  • Efficient organization, storage and processing of data using complex data structures and algorithms
  • Designing algorithms and analyzing their complexity in terms of execution time and space usage
  • Creating applications that are supported by highly efficient algorithms and data structures for the task at hand

Foundations of Data Structures and Algorithms Specialization course specifications

  • Publisher: Coursera
  • teacher : Sriram Sankaranarayanan
  • English language
  • Training level: advanced
  • Number of courses: 5
  • Duration of training: 6 months including 10 hours of work per week

Foundations of Data Structures and Algorithms Specialization course chapters

Course prerequisites

  • Calculus: derivatives and integrals. Probability theory: distributions, expectations, and moments. Some programming experience with Python.

Pictures

Foundations of Data Structures and Algorithms Specialization

Sample video

Installation guide

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English subtitle

Quality: 720p

Version 2024/5 compared to 2024/1: the fifth course (Advanced Data Structures, RSA and Quantum Algorithms) has been added.

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Algorithms for Searching, Sorting, and Indexing

Download part 1 – 1 GB

Download part 2 – 815 MB

Trees and Graphs Basics

Download part 1 – 1 GB

Download part 2 – 700 MB

Dynamic Programming, Greedy Algorithms

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 129 MB

Approximation Algorithms and Linear Programming

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 1 GB

Download part 6 – 586 MB

Advanced Data Structures, RSA and Quantum Algorithms

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 205 MB

File(s) password: www.downloadly.ir

Size

15.37 GB

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