āĻĒā§āϰāĻŋ-āϰ⧇āĻ•āĻ°ā§āĻĄā§‡āĻĄ āϕ⧋āĻ°ā§āϏ

Data Structure and Algorithm with Leetcode Exercise (Pre-Recorded)

Master Data Structures and Algorithms (DSA) to organize data efficiently and solve problems faster. This course strengthens programming and problem-solving skills through hands-on practice on LeetCode, helping you write optimized, reliable code and prepare for technical interviews.

Duration: 24 Classes Class Type: Pre-Recorded Batch: 1
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āĻ•āĻžāϰāĻŋāϕ⧁āϞāĻžāĻŽ

Topic - 1
  • Course objectives and expectations
Topic - 2
  • Overview of the course structure and materials
Topic - 3
  • Recommended development environment setup
Topic - 4
  • Overview of essential tools and resources
Topic - 5
  • Introduction to Python programming language
Topic - 6
  • Syntax. variables. data types and basic operations
Topic - 7
  • Control flow statements: conditionals and loops
Topic - 8
  • Defining and calling functions
Topic - 9
  • Working with modules and libraries
Topic - 10
  • Introduction to common Python libraries for data structures and algorithms
Topic - 11
  • OOP
Topic - 12
  • Basics of data structures and algorithms
Topic - 13
  • Overview of algorithmic thinking and problem-solving strategies
Topic - 14
  • Introduction to arrays and their operations
Topic - 15
  • Solving problems using Array
Topic - 16
  • Introduction to String and their operations
Topic - 17
  • Solving problems using String
Topic - 18
  • Introduction to Stack and their operations
Topic - 19
  • Solving problems using Stack
Topic - 20
  • Introduction to Queue and their operations
Topic - 21
  • Solving problems using Queue
Topic - 22
  • Introduction to Linked List and their operations
Topic - 23
  • Solving problems using Linked List
Topic - 24
  • Introduction to Linked List and their operations
Topic - 25
  • Solving problems using Linked List
Topic - 26
  • Introduction to sorting and searching algorithms
Topic - 27
  • Comparing different sorting and searching techniques
Topic - 28
  • Exploring hashing techniques and hash table implementations
Topic - 29
  • Solving problems using hashing
Topic - 30
  • Basics of time complexity analysis
Topic - 31
  • Evaluating algorithm efficiency using Big O notation
Topic - 32
  • Basics of space complexity analysis
Topic - 33
  • Analyzing memory usage in algorithms
Topic - 34
  • Understanding recursion and its applications
Topic - 35
  • Solving problems using recursive algorithms
Topic - 36
  • Understanding dynamic programming concepts
Topic - 37
  • Solving problems using dynamic programming techniques
Topic - 38
  • Exploring greedy algorithms and their characteristics
Topic - 39
  • Solving problems using greedy strategies
Topic - 40
  • Guided practice sessions to solve coding problems
Topic - 41
  • Problem-solving exercises and challenges
Topic - 42
  • Review and discussion of solutions
  • including time and space complexity analysis

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Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

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  • ⏱ Duration24 Classes
  • đŸĒ‘ Available SeatsāĻļā§€āĻ˜ā§āϰāχ āĻĢāĻŋāϞ-āφāĻĒ āĻšā§Ÿā§‡ āϝāĻžāĻŦ⧇
  • 📡 Class Type āĻĒā§āϰāĻŋ-āϰ⧇āĻ•āĻ°ā§āĻĄā§‡āĻĄ
  • 🔓 AccessLifetime

Priceā§ŗ 1100

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āĻ“ā§Ÿā§‡āĻŦāĻŋāύāĻžāϰ āĻ“ āĻĄā§‡āĻŽā§‹ āĻ•ā§āϞāĻžāϏ

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Siraj Us Salekin
Siraj Us Salekin
(5.0) 1 year ago

Innovative Skills BD provided an excellent foundation for my journey into Machine Learning and Deep Learning. The NLP course, led by the phenomenal instructor Salman Bhai, was instrumental in teaching practical NLP model building and fostering a clear understanding of NLP classification, chatbots, and recommendation systems. However, it's important to note that this course is best suited for those with some programming experience. While highly valuable, it may be challenging for complete beginners. Ideal participants include recent university graduates or programmers seeking practical NLP knowledge. Salman Bhai's skillful guidance sets you on the right path. Those with strong self-study skills or a genuine desire to expand their NLP knowledge will find this course to be an excellent fit. Salman Bhai and his team were incredibly supportive throughout the program. Their dedication to continuous workshops and industry knowledge sharing significantly enhanced the learning experience. Overall Rating: 4.5 out of 5 stars A minor suggestion for improvement: While the course is fantastic, full beginner-friendliness with comprehensive code explanations for those entirely new to implementation would elevate it to a perfect score. However, for the hard-working student, this knowledge gap can be readily addressed through additional self-study using documentation or online resources. Ultimately, even the challenges encountered are part of the rewarding learning process. Thank you once again to Salman Bhai and his team!

Obaydullah Hasib
Obaydullah Hasib
(5.0) 1 year ago

Enrolling in the "Python Development with Django" course at ISBD has been a transformative experience. Salman Vai, our instructor, is so supportive, he treats me like a brother. His teaching style is exceptional, breaking down complex concepts with clarity and enthusiasm. The detailed course structure ensures a comprehensive understanding. If you're seeking a top-notch educational destination, ISBD is the place to be. I recommend it for anyone looking to upskill and looking for a very good learning environment.

Rahmatullah Masum
Rahmatullah Masum
(5.0) 1 year ago

Assalamu Alaikum. 'Machine Learning for NLP' and other courses offered by Innovative Skills BD are well organized and the instructors are very helpful. So I recommend the courses of Innovative Skills BD.

Shaiful Islam
Shaiful Islam
(5.0) 1 year ago

Embarking on a 4IR journey? Choose Innovative Skills. From Computer Vision, and NLP to other cutting-edge courses, their hands-on approach and expert insights made complex topics feel approachable, igniting a passion in me I never knew I had. If you're on the fence about where to start, trust me, this is the place. Dive in, and let them be the compass to your future.

āĻĒā§āϰāĻļā§āύ⧋āĻ¤ā§āϤāϰ

āĻāĻ–āύ⧋ āĻĻā§āĻŦāĻŋāϧāĻžā§Ÿ āφāϛ⧇āύ? āϚāϞ⧁āύ āĻĒāϰāĻŋāĻˇā§āĻ•āĻžāϰāĻ­āĻžāĻŦ⧇ āĻœā§‡āύ⧇ āύ⧇āχāĨ¤

01. āφāĻŽāĻŋ āĻ•āĻŋ āĻāχ āϕ⧋āĻ°ā§āϏāϟāĻŋ āĻ•āϰ⧇ āϏāϰāĻžāϏāϰāĻŋ āχāĻ¨ā§āϟāĻžāϰāĻ­āĻŋāĻ‰ā§Ÿā§‡āϰ āϜāĻ¨ā§āϝ āĻĒā§āϰāĻ¸ā§āϤ⧁āϤāĻŋ āύāĻŋāϤ⧇ āĻĒāĻžāϰāĻŦ? +
āĻšā§āϝāĻžāρ, āĻ…āĻŦāĻļā§āϝāχāĨ¤ āĻāχ āϕ⧋āĻ°ā§āϏāϟāĻŋ āĻŽā§‚āϞāϤ āχāĻ¨ā§āϟāĻžāϰāĻ­āĻŋāω-āϕ⧇āĻ¨ā§āĻĻā§āϰāĻŋāĻ• āĻ•āϰ⧇āχ āĻĄāĻŋāϜāĻžāχāύ āĻ•āϰāĻž āĻšā§Ÿā§‡āϛ⧇āĨ¤ āĻāĻ–āĻžāύ⧇ āĻļ⧁āϧ⧁ āĻĨāĻŋāĻ“āϰāĻŋ āύ⧟, āĻŦāϰāĻ‚ LeetCode-āĻāϰ āĻŽāϤ⧋ āĻĒā§āĻ˛ā§āϝāĻžāϟāĻĢāĻ°ā§āĻŽ āĻĨ⧇āϕ⧇ āĻŦāĻžāĻ›āĻžāχ āĻ•āϰāĻž āϗ⧁āϰ⧁āĻ¤ā§āĻŦāĻĒā§‚āĻ°ā§āĻŖ āĻĒā§āϰāĻŦāϞ⧇āĻŽāϗ⧁āϞ⧋ āĻšāĻžāϤ⧇-āĻ•āϞāĻŽā§‡ āϏāϞāĻ­ āĻ•āϰ⧇ āĻĻ⧇āĻ–āĻžāύ⧋ āĻšā§Ÿā§‡āϛ⧇āĨ¤
02. LeetCode-āĻāϰ āϕ⧋āύ āϞ⧇āϭ⧇āϞ⧇āϰ āĻĒā§āϰāĻŦāϞ⧇āĻŽāϗ⧁āϞ⧋ āĻāĻ–āĻžāύ⧇ āĻ•āĻ­āĻžāϰ āĻ•āϰāĻž āĻšā§Ÿā§‡āϛ⧇? +
āφāĻŽāϰāĻž āĻāĻ•āĻĻāĻŽ āĻŦ⧇āϏāĻŋāĻ• (Easy) āĻĨ⧇āϕ⧇ āĻļ⧁āϰ⧁ āĻ•āϰ⧇ āχāĻ¨ā§āϟāĻžāϰāĻ­āĻŋāωāϤ⧇ āϏāĻŦāĻšā§‡ā§Ÿā§‡ āĻŦ⧇āĻļāĻŋ āφāϏāĻž āĻŽāĻžāĻāĻžāϰāĻŋ (Medium) āĻāĻŦāĻ‚ āĻ•āĻŋāϛ⧁ āĻ•āĻ āĻŋāύ (Hard) āϞ⧇āϭ⧇āϞ⧇āϰ āĻĒā§āϰāĻŦāϞ⧇āĻŽ āĻ•āĻ­āĻžāϰ āĻ•āϰ⧇āĻ›āĻŋāĨ¤ āĻŦāĻŋāĻļ⧇āώ āĻ•āϰ⧇ āϝ⧇ āϧāϰāύ⧇āϰ āĻ…ā§āϝāĻžāϞāĻ—āϰāĻŋāĻĻāĻŽāĻŋāĻ• āĻĒā§āϝāĻžāϟāĻžāĻ°ā§āύ (āϝ⧇āĻŽāύ: Two Pointers, Sliding Window, BFS/DFS) āĻĨ⧇āϕ⧇ LeetCode-āĻ āĻŦ⧇āĻļāĻŋ āĻĒā§āϰāĻļā§āύ āĻĨāĻžāϕ⧇, āϏ⧇āϗ⧁āϞ⧋āϤ⧇ āĻŦ⧇āĻļāĻŋ āϗ⧁āϰ⧁āĻ¤ā§āĻŦ āĻĻ⧇āĻ“ā§ŸāĻž āĻšā§Ÿā§‡āϛ⧇āĨ¤
03. āĻāχ āϕ⧋āĻ°ā§āϏ⧇ āĻ•āĻŋ āϟāĻžāχāĻŽ āĻāĻŦāĻ‚ āĻ¸ā§āĻĒ⧇āϏ āĻ•āĻŽāĻĒā§āϞ⧇āĻ•ā§āϏāĻŋāϟāĻŋ (Big O) āĻļ⧇āĻ–āĻžāύ⧋ āĻšāĻŦ⧇? +
āĻ…āĻŦāĻļā§āϝāχāĨ¤ āĻĄāĻŋāĻāϏāĻ āĻļ⧇āĻ–āĻžāϰ āĻŽā§‚āϞ āωāĻĻā§āĻĻ⧇āĻļā§āϝāχ āĻšāϞ⧋ āĻĻāĻ•ā§āώ āϕ⧋āĻĄ āϞ⧇āĻ–āĻžāĨ¤ āĻĒā§āϰāϤāĻŋāϟāĻŋ āĻĒā§āϰāĻŦāϞ⧇āĻŽ āϏāϞāĻ­ āĻ•āϰāĻžāϰ āĻĒāϰ āφāĻŽāϰāĻž āϏ⧇āϟāĻŋāϰ Time and Space Complexity āĻŦāĻŋāĻļā§āϞ⧇āώāĻŖ āĻ•āϰ⧇āĻ›āĻŋāĨ¤ āĻāϤ⧇ āĻ•āϰ⧇ āφāĻĒāύāĻŋ āĻŦ⧁āĻāϤ⧇ āĻĒāĻžāϰāĻŦ⧇āύ āϕ⧇āύ āĻāĻ•āϟāĻŋ āύāĻŋāĻ°ā§āĻĻāĻŋāĻˇā§āϟ āĻ…ā§āϝāĻžāϞāĻ—āϰāĻŋāĻĻāĻŽ āĻ…āĻ¨ā§āϝāϟāĻŋāϰ āĻšā§‡ā§Ÿā§‡ āĻ­āĻžāϞ⧋ āĻāĻŦāĻ‚ āϕ⧀āĻ­āĻžāĻŦ⧇ āϕ⧋āĻĄā§‡āϰ āĻĒāĻžāϰāĻĢāϰāĻŽā§āϝāĻžāĻ¨ā§āϏ āĻ…āĻĒā§āϟāĻŋāĻŽāĻžāχāϜ āĻ•āϰāϤ⧇ āĻšā§ŸāĨ¤
04. āφāĻŽāĻžāϰ āĻŽā§āϝāĻžāĻĨāĻŽā§‡āϟāĻŋāĻ•ā§āϏ āĻŦāĻž āĻĒā§āϰ⧋āĻ—ā§āϰāĻžāĻŽāĻŋāĻ‚ āĻ¸ā§āĻ•āĻŋāϞ āϖ⧁āĻŦ āĻ­āĻžāϞ⧋ āύāĻž āĻšāϞ⧇ āĻ•āĻŋ āφāĻŽāĻŋ āĻāϟāĻŋ āĻļāĻŋāĻ–āϤ⧇ āĻĒāĻžāϰāĻŦ? +
āĻšā§āϝāĻžāρ, āĻĒāĻžāϰāĻŦ⧇āύāĨ¤ āϕ⧋āĻ°ā§āϏ⧇āϰ āĻļ⧁āϰ⧁āϤ⧇ āφāĻŽāϰāĻž āϞāϜāĻŋāĻ• āĻŦāĻŋāĻ˛ā§āĻĄāĻŋāĻ‚ āĻāĻŦāĻ‚ āĻĒā§āĻ°ā§Ÿā§‹āϜāĻ¨ā§€ā§Ÿ āĻŦ⧇āϏāĻŋāĻ• āĻĄā§‡āϟāĻž āĻ¸ā§āĻŸā§āϰāĻžāĻ•āϚāĻžāϰāϗ⧁āϞ⧋ āύāĻŋā§Ÿā§‡ āφāϞ⧋āϚāύāĻž āĻ•āϰ⧇āĻ›āĻŋāĨ¤ āφāĻĒāύāĻžāϰ āϝāĻĻāĻŋ āϝ⧇āϕ⧋āύ⧋ āĻāĻ•āϟāĻŋ āĻĒā§āϰ⧋āĻ—ā§āϰāĻžāĻŽāĻŋāĻ‚ āĻ˛ā§āϝāĻžāĻ™ā§āĻ—ā§ā§Ÿā§‡āĻœā§‡āϰ (āϝ⧇āĻŽāύ: Python, C++ āĻŦāĻž Java) āĻŦ⧇āϏāĻŋāĻ• āϧāĻžāϰāĻŖāĻž āĻĨāĻžāϕ⧇, āϤāĻŦ⧇ āϧāĻžāϰāĻžāĻŦāĻžāĻšāĻŋāĻ•āĻ­āĻžāĻŦ⧇ āĻ­āĻŋāĻĄāĻŋāĻ“āϗ⧁āϞ⧋ āĻĻ⧇āĻ–āϞ⧇ āĻāĻŦāĻ‚ āφāĻŽāĻžāĻĻ⧇āϰ āĻĒā§āĻ°ā§āϝāĻžāĻ•āϟāĻŋāϏ āĻāĻ•ā§āϏāĻžāϰāϏāĻžāχāϜāϗ⧁āϞ⧋ āĻ•āϰāϞ⧇ āφāĻĒāύāĻŋ āϏāĻšāĻœā§‡āχ āĻĻāĻ•ā§āώ āĻšā§Ÿā§‡ āωāĻ āĻŦ⧇āύāĨ¤

āĻĢā§āϰāĻŋ āĻ•āĻžāωāĻ¨ā§āϏ⧇āϞāĻŋāĻ‚ āύāĻŋā§Ÿā§‡ āϏāĻ āĻŋāĻ• āϕ⧋āĻ°ā§āϏ āĻŦ⧇āϛ⧇ āύāĻŋāύ

Data Structure and Algorithm with Leetcode Exercise (Pre-Recorded) āύāĻŋā§Ÿā§‡ āφāĻĒāύāĻžāϰ āϜāĻ¨ā§āϝ āϕ⧋āύ learning path best āĻšāĻŦ⧇, āϏ⧇āϟāĻž āĻŦ⧁āĻāϤ⧇ āφāĻŽāĻžāĻĻ⧇āϰ team āφāĻĒāύāĻžāϕ⧇ call back āĻ•āϰāĻŦ⧇āĨ¤

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ā§ŗ 1100 āĻļā§€āĻ˜ā§āϰāχ āĻĢāĻŋāϞ-āφāĻĒ āĻšā§Ÿā§‡ āϝāĻžāĻŦ⧇
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