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Blind 75 LeetCode Questions: Ace Algorithms Coding Interview

Top 75 LeetCode Data Structures and Algorithms Questions for Coding Interviews. Get a job offer from MAANG company.

  1. Topics
  2. Development
  3. Algorithms Mastery

Blind 75 LeetCode Questions: Ace Algorithms Coding Interview

InstructorMd. A. Barik
Duration26h 54m
Students18.2K
Rating4.8 (408)
Sponsored
Price
$14.99
Coupon
None
No active coupon currently available
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Open on UdemyCurrent Udemy price

Coupon history

Comidoc has tracked 4 coupons for this course since 2026, last checked 1 month, 23 days ago. On average, a new coupon appears roughly every 36 days.

Coupon codeDiscountAddedStatusLifetime
JUN-FLASH-SALE33% offJun 28, 202611:56 AM UTCExpired4d 20h
TOP-RATED-COURSE33% offJun 12, 202610:40 AM UTCExpired4d 13h
LIMITEED-TIME33% offApr 14, 202611:42 PM UTCExpired4d 18h
HIGHEST-RATED33% offApr 5, 202604:30 AM UTCExpired4d 23h
Comidoc Analysis

Algorithmic Pattern Recognition for Technical Interviews

Strengths

Pattern-Oriented Instruction

Lessons emphasize identifying common algorithmic patterns such as sliding windows, binary search, and backtracking to solve diverse problems.

Structured Problem Breakdown

The instructional flow utilizes intuition and animation before moving into code walkthroughs to simplify complex logic.

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Python Data Structures & Algorithms + LEETCODE ExercisesScott Barrett4.7 (17.1K)10h 18m
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LeetCode in Java: Algorithms Coding Interview QuestionsMd. A. Barik4.5 (1,689)38h 53m

Limitations

Quiz-Based Application

Applied learning is primarily delivered through topic-specific quizzes rather than large-scale, multi-file coding projects.

Best suited to

  • LeetCode beginners
  • Intermediate learners preparing for technical interviews
  • Candidates targeting product-based companies

Less suited to

  • Learners seeking project-led software development experience

Comidoc Score

7.1/10

Recommended
Beginner-friendly

Comidoc verdict

The curriculum follows a systematic breakdown of the Blind 75 list, moving from conceptual intuition to code implementation. This approach helps learners recognize recurring patterns in technical interviews across various data structures like trees, graphs, and dynamic programming.

Instruction relies on a consistent cadence of video lectures followed by targeted practice items. This builds strong problem-solving techniques for algorithmic challenges, though the training remains centered on discrete problems rather than integrated software development workflows.

This path is ideal for individuals preparing for technical coding interviews who need to master specific data structure patterns and optimize time complexity.

Score breakdown

Curriculum depth
8.0

The curriculum covers a wide range of essential topics including arrays, trees, and dynamic programming through specific walkthroughs.

Applied learning
8.0

Learners engage with the material through a high volume of topic-specific practice quizzes and walkthroughs.

Clarity & experience
6.5

Instructional signals indicate a strong ability to break down complex problems into manageable parts.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns well with the target of improving coding interview skills for various levels.

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