50 Algorithms Every Programmer Should Know

Packt via Coursera Specialization

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Coursera Specialization
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Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Intermediate

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The 50 Algorithms Every Programmer Should Know specialization is structured to guide learners through a logical progression, starting with foundational algorithmic principles and moving toward advanced applications. The first course in the path, Foundations of Algorithm Design and Analysis, establishes a strong base in algorithmic thinking, data structures, and performance analysis. The next stage, Machine Learning Algorithms: From Clustering to Deep Learning, expands this knowledge by introducing learners to the practical use of algorithms in machine learning and data analysis. The final course in this specialization, Advanced Algorithms for Modern Applications, builds on this foundation to explore cutting-edge techniques in sequence modeling, cryptography, and large-scale computing. Throughout the specialization, learners develop a clear understanding of how to select, implement, and optimize algorithms for diverse computational challenges. By focusing on both the theoretical and practical aspects of algorithmic design, the specialization equips programmers with the skills needed to solve real-world problems efficiently and effectively. This specialization is based on the course, 50 Algorithms Every Programmer Should Know, by Imran Ahmad.

Syllabus

Course 1: Foundations of Algorithm Design and Analysis
Course 2: Machine Learning - From Clustering to Deep Learning
Course 3: Advanced Algorithms for Modern Applications

Courses

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Delve into advanced algorithmic techniques for sequential modeling, recommendation systems, data handling, cryptography, and large-scale computing. Understand the practical and ethical considerations of deploying algorithms in real-world environments. This course explores cutting-edge algorithms for advanced sequence modeling, including attention mechanisms, transformers, and large language models. Learners will study the design and evaluation of recommendation engines, strategies for efficient data management and compression, and the principles of cryptography for secure computing. The course also addresses the challenges of scaling algorithms for high-performance environments and examines the ethical and practical factors influencing algorithmic solutions. By integrating theoretical insights with practical examples and case studies, this course empowers learners to apply advanced algorithms to complex, real-world problems. The curriculum emphasizes critical thinking about algorithmic impact, scalability, and responsible use in modern computing contexts. This course is part three of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on 50 Algorithms Every Programmer Should Know, by Imran Ahmad. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
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Build a strong foundation in algorithmic thinking, data structures, and core algorithm design techniques. Learn to analyze, implement, and optimize algorithms for a variety of computational problems. This course introduces the essential concepts of algorithms, including performance analysis, algorithmic complexity, and the use of fundamental data structures. Learners will explore classic sorting and searching algorithms, as well as key strategies for designing efficient algorithms such as dynamic programming, greedy methods, and linear programming. By the end of the course, participants will be able to select and apply appropriate algorithms to solve real-world problems and understand the underlying logic that drives their effectiveness. Through clear explanations, practical examples, and real-world case studies, this course emphasizes both the theoretical and practical aspects of algorithm design. Learners will develop the skills to analyze algorithm performance and make informed choices for diverse computational challenges. This course is part one of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on 50 Algorithms Every Programmer Should Know, by Imran Ahmad. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
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Explore the landscape of machine learning algorithms, from unsupervised and supervised learning to the fundamentals of neural networks and natural language processing. Gain practical insights into how these algorithms are applied to solve complex data-driven problems. This course covers a wide range of machine learning algorithms, including clustering, association analysis, decision trees, ensemble methods, logistic and linear regression, and foundational neural network architectures. Learners will also be introduced to natural language processing techniques and sequential models such as RNNs and LSTMs. By mastering these algorithms, participants will be equipped to tackle classification, regression, and sequence modeling tasks across various domains. The course combines conceptual explanations with practical case studies and real-world applications, enabling learners to understand both the theory and implementation of machine learning algorithms. Emphasis is placed on developing intuition for algorithm selection and understanding the strengths and limitations of each approach. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on 50 Algorithms Every Programmer Should Know, by Imran Ahmad. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.