Data Structures and Algorithms
Skills:
ML Pipelines70%
This course explores data structures and algorithms for back-end development, focusing on performance and scalability. You'll learn to analyze, implement, and optimize key structures and algorithms in .NET Core to efficiently solve real-world back-end challenges.
By the end of this course, you will be able to…
Analyze the efficiency of common data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching) to determine their impact on back-end development.
Implement data structures and algorithms in .NET Core to solve specific back-end problems, including sorting, searching, and traversal tasks, with a focus on performance and scalability.
Design scalable back-end applications using appropriate data structures and algorithms, optimizing for performance in areas such as database query handling and large-scale data processing within the final project.
Optimize back-end code for performance by applying advanced algorithmic techniques and refactoring inefficient solutions based on complexity analysis throughout the course.
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