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Blind 75

Learn DSA (Data Structures & Algorithms) with Blind75! Strategies from a former Meta engineer. Focused learning for interview success.

10h 30m
Certificate
Mohammed Yasir Eramangadan
Mohammed Yasir EramangadanSoftware Engineer | Udemy Instructor

Course Content

Blind 75 is an all-levels Udemy course taught by Mohammed Yasir Eramangadan. It runs 10h 30m, is taught in English, and includes a certificate of completion. It is a paid course, first published January 2025.

Unlock your potential in software development with our comprehensive Algorithms and Data Structures in C++ course! This program provides a strong foundation in programming logic, algorithms, and data structures using the powerful C++ language. Perfect for aspiring developers and those looking to enhance their problem-solving skills.

We'll guide you through a carefully selected range of logical challenges, bridging the gap between theoretical concepts and practical C++ coding. A key component is the inclusion of the Blind-75, a highly recommended collection of problems curated by a Meta engineer in 2018, ideal for algorithms and data structures practice on LeetCode.

Course Highlights:

  • Engaging Lecture Format: Each session combines clear concept explanations with hands-on C++ coding, leading you to efficient and optimized solutions.
  • Downloadable C++ Source Code: Access complete C++ source code for every lecture, allowing you to reinforce your learning and experiment with different approaches.

What You'll Learn:

  • Data Structures in C++: Master fundamental data structures, including:
    • List-based structures: Understand and implement Arrays, Matrices, Intervals, Strings, and Bits.
    • Node-based structures: Gain proficiency in Linked Lists, Trees, Heaps, and Graphs.
  • Dynamic Programming Techniques: Learn to solve complex problems efficiently using dynamic programming.
  • Problem Types: Develop skills in:
    • Traversal: Learn various methods for traversing data structures.
    • Transformation: Master techniques for transforming data.
    • Searching: Implement efficient searching algorithms.
    • Counting, Gauging, and Verification: Develop skills in analyzing and validating data.
    • Linking, Optimization, and Path Selection: Learn to optimize data structures and find optimal paths.
    • Interval Merging and Insertions: Understand and implement interval-related operations.

Convenient problem links are provided in the resources section for easy access to practice.

Ready to embark on a journey to master algorithms and data structures? We're here to help you succeed!

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