Description
Foundations of Data Structures and Algorithms Expertise, building About And Excessive Performing data science applications requires a deep knowledge of how data can be organized in a computer and how to efficiently perform tasks 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 aimed at learners who are broadly interested in programming applications that process large amounts of data (specialization in data science is not required), and are familiar with the basics of programming in Python. We will learn about algorithms including sorting, searching, traversal, and shortest path algorithms, as well as various data structures including arrays, hash-tables, heaps, trees, and graphs. it Specialization be able to Happen Courses are taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted curriculum, short 8-week sessions, and tuition with pay as you go. Admission is based on performance in three introductory courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learners want Solve data-structure problems by analyzing and designing algorithms for searching, sorting, and indexing; creating trees and graphs; and addressing incommensurability. Courses include conceptual algorithm design problems as well as opportunities to program data structures/algorithms in the Python programming language.
What you will learn
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Efficiently organize, store, and process data using sophisticated data structures and algorithms
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Design algorithms and analyze their complexity in terms of running time and space usage
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Build applications that are supported by highly efficient algorithms and data structures for the task at hand
Specification of the foundations of data structures and algorithms specialization
Contents of Foundations of Data Structures and Algorithms Specialization
Requirements
- Calculus: derivatives and integrals. Probability theory: distributions, expectations and moments. Some programming experience with Python.
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Subtitles: English
Quality: 720p
Version 2024/5 compared to 2024/1: A fifth course (Advanced Data Structures, RSA and Quantum Algorithms) has been added.
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Algorithms for searching, sorting and indexing
Basics of Trees and Graphs
Dynamic Programming, Greedy Algorithms
Approximation Algorithms and Linear Programming
Advanced Data Structures, RSA and Quantum Algorithms
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15.37 GB