What you will learn in Data Structures and Algorithms Specialization Course
- Apply algorithmic techniques such as greedy algorithms, binary search, and dynamic programming to solve complex problems.
- Implement and utilize data structures like stacks, queues, trees, and graphs in various computational scenarios.
- Develop algorithmic solutions to real-world challenges, including network navigation and genome sequencing.
- Enhance problem-solving skills through 100 programming challenges and 50 algorithmic puzzles.
- Gain practical experience in debugging and optimizing algorithms for performance.
Program Overview
Algorithmic Toolbox
⏱️20 hours
- Introduction to algorithmic techniques and problem-solving strategies.
- Covers sorting, searching, divide and conquer, and dynamic programming.
Data Structures
⏱️22 hours
- Explores fundamental data structures and their applications.
- Includes arrays, linked lists, trees, hash tables, and more.
Algorithms on Graphs
⏱️54 hours
- Focuses on graph algorithms used in real-world applications.
- Topics include shortest paths, spanning trees, and network flows.
Algorithms on Strings
⏱️30 hours
- Covers string processing algorithms relevant to bioinformatics and text processing.
- Includes pattern matching, suffix arrays, and trie structures.
Advanced Algorithms and Complexity
⏱️30 hours
- Delves into advanced topics like NP-completeness and approximation algorithms.
- Introduces linear programming and other optimization techniques.
Genome Assembly Programming Challenge
⏱️20 hours
- Capstone project applying learned algorithms to assemble a genome from sequencing data.
- Provides hands-on experience in solving complex bioinformatics problems.
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Job Outlook
- Proficiency in data structures and algorithms is essential for roles in software engineering, data science, and systems analysis.
- Skills acquired in this specialization are applicable to industries like technology, healthcare, finance, and more.
- Completing this program can enhance your qualifications for technical interviews and competitive job markets.
Specification: Data Structures and Algorithms Specialization
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FAQs
- Comprises 6 courses offered by UC San Diego.
- Estimated duration: ~5 months at 10 hours per week.
- Designed to be self-paced, allowing you to adjust based on your schedule.
- It’s labeled Intermediate level.
- Requires knowledge of at least one programming language (C, C++, Java, Python, etc.).
- No advanced math or algorithmic background is strictly required, but coding familiarity helps.
- Data Structures: arrays, stacks, queues, trees, graphs.
- Algorithms: sorting/searching, dynamic programming, greedy methods, graph traversal.
- Complexity Analysis: understanding time and space trade-offs.
- 100+ programming challenges and algorithmic puzzles to build intuition.
- Real-world applications: social network analysis, genome sequencing, and more.
Strengths:
- High learner satisfaction with a 4.6/5 average from 13,000+ reviews.
- Practical, puzzle-driven design that supports algorithmic intuition development.
- Backed by a top-tier academic institution (UCSD).
Limitations:
- Requires substantial time commitment (~5 months at 10 h/week).
- Intermediate difficulty—may be challenging for complete beginners.
- Less suited for learners seeking rapid overview or theory-only coverage.
- Ideal for: aspiring software engineers, data scientists, or anyone preparing for technical interviews.
- Offers strong preparation for coding interviews through algorithmic mastery.
- Builds a deep understanding foundational to computer science and software development roles.
- Earn a verified career certificate from UC San Diego.
