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Prateek Narang Sr. Software Engineer Google and Coding Minutes

Do you find yourself feeling like you get "stuck" every time you get a coding question? 

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Do you find yourself feeling like you get "stuck" every time you get a coding question? 

Welcome to Data Structures & Algorithms, Level up Course the only course that provides you an ultimate practice on problem solving process and helping you to take your data structures & algorithms to the next level.  The course is taught by an expert instructor Prateek Narang from Google, who is not just a software engineer but also has mentored thousands of students in becoming great programmers & developers.The Course contains 25+ hours of interactive video content & dozens of coding exercises, teaching you the right tips & tricks in problem solving in a most concise way. Every problem discussion starts with a brute force approach, optimisations and ends with hands-on-coding video in C++ as well. Here is what you will learn -

Problems on Data Structures

* Arrays, Strings, Vectors

* Hashing (Unordered Maps, Maps, Sets)

* Stacks, Queues, Linked Lists

* Binary Trees, BSTs, Heaps

* Graphs, Tries

Problems on Algorithms

* Brute force, Backtracking

* Sliding Window Algorithms

* Sorting, Searching, Binary Search

* Dynamic Programming Fundamentals

* Important Graph Algorithms

* BFS & DFS, Shortest PathsCourse exercises are in C++ but programmers having experience in one or more languages (C++/Java/Python/JavaScript) can definitely do this course, provided they have fundamental understanding of data structures. The course covers both breadth & depth of topics, diving deep where-ever needed. You will also learn how to apply techniques involving like - sorting & searching algorithms, sliding window, binary search, hashing which are very important for problem solving. For advanced topics like Dynamic Programming & Graphs, the course starts from the basics & helps you master these topics from the very fundamentals. Unlike most instructors, I am not a salesperson or a marketer. My job is to help you build strong fundamentals in programming & be  a successful developer. Through Udemy, I am providing this course to you at a fraction of cost of its original cost, so that anyone who is interested to learn can take their skills to the next level. So I hope you sign up today, and I will see you in the course.

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What's inside

Learning objectives

  • Accelerate your algorithmic thinking
  • Learn to optimise brute force solutions
  • Learn to apply data structures
  • Learn to write complex codes
  • 150+ carefully curated problems
  • Analysis of space-time complexity
  • Using c++ standard template library
  • Become a 10x problem solver
  • Sliding window, hashing, maps & sets
  • Master dynamic programming & graphs
  • Bonus : build a lru cache
  • Practice questions on all important topics
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Syllabus

Know about the course curriculum, instructor, how-to-strategy & more!
Strings Introduction
Course Orientation!
How to do this course?
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Arrays & Vectors Quiz!

Test your skills on Sliding Window Algorithms.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Taught by an instructor from Google, who has mentored thousands of students, which may be valuable for learners seeking industry insights
Uses C++ for coding exercises, which is a popular language for competitive programming and performance-critical applications
Covers a wide range of data structures and algorithms, including arrays, trees, graphs, sorting, searching, and dynamic programming
Includes a bonus module on building an LRU Cache, which is a common interview question and a practical application of data structures
Requires a fundamental understanding of data structures, so learners without this background may need to acquire it beforehand
Focuses on optimizing brute force solutions, which is a key skill for improving the efficiency of algorithms

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Reviews summary

Effective coding interview prep

According to learners, this course provides an excellent foundation specifically tailored for coding interviews. Many praise the instructor's approach, noting how he effectively breaks down complex problems starting from brute force and building up to optimal solutions. The hands-on coding sessions and curated practice problems are frequently mentioned as highly beneficial. While the course uses C++ for exercises, students from other language backgrounds report being able to follow along if they have basic DSA understanding. Some note it's best suited for those with foundational knowledge, as it aims to "level-up" rather than start from absolute scratch.
Course uses C++, adaptable if you know basics.
"While the coding is in C++, I was able to follow along using Python because the concepts are universal."
"The examples are in C++, so be prepared if you code primarily in Java or Python."
"Understanding the C++ STL parts is useful, but the core logic applies to other languages."
"It helps if you have some familiarity with C++ or are willing to adapt the concepts."
Coding demos are hands-on and reinforce learning.
"Seeing the code written out step-by-step after discussing the logic is super helpful."
"The coding exercises and demos are practical and help connect theory to implementation."
"Hands-on coding parts are crucial and well-done in this course."
"I liked that every problem discussion ends with a coding video."
Problems are relevant and challenging for interviews.
"The problems selected are very relevant for actual coding interviews and cover a good range of types."
"I found the practice problems to be challenging but incredibly helpful for solidifying my understanding."
"Working through the curated list of problems significantly boosted my confidence for interviews."
"The problem set feels like a good simulation of what you'd encounter in interviews."
Instructor simplifies complex topics effectively.
"The instructor explains concepts very clearly, which helps a lot in understanding complex algorithms."
"I really appreciate how the lectures break down tough ideas into understandable parts."
"Prateek has a great way of explaining things from scratch and optimizing step by step."
"The clarity in explanations is a major strength, making difficult topics approachable."
Not for complete beginners, needs prior basics.
"This course assumes you have a basic understanding of data structures already; it builds on that."
"If you're completely new to DSA, you might find this course moves a bit fast or is too advanced initially."
"It's definitely a 'level-up' course, not an introductory one."
"Recommended for those who know basics and want to improve problem-solving skills."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Structures & Algorithms, Level-up for Coding Interviews with these activities:
Review C++ Fundamentals
Strengthen your understanding of C++ syntax and core concepts before diving into data structures and algorithms. This will make the C++ code examples in the course easier to follow.
Show steps
  • Review basic syntax, data types, and control flow.
  • Practice writing simple C++ programs.
  • Familiarize yourself with object-oriented programming concepts.
Review 'Cracking the Coding Interview'
Study common interview questions and problem-solving strategies. This will help you approach the course exercises with a more strategic mindset.
Show steps
  • Read the chapters on relevant data structures and algorithms.
  • Attempt the practice problems in each chapter.
  • Analyze the provided solutions and understand the reasoning behind them.
LeetCode Easy Problems
Practice solving easy-level LeetCode problems to build familiarity with common data structures and algorithms. This will reinforce the concepts learned in the course.
Show steps
  • Select a set of easy-level LeetCode problems.
  • Attempt to solve each problem independently.
  • Review the solutions and analyze your mistakes.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'Introduction to Algorithms'
Consult this book for a deeper understanding of the algorithms covered in the course. It provides a more theoretical perspective and can help you grasp the underlying principles.
Show steps
  • Read the chapters on algorithms that you find challenging.
  • Work through the examples and exercises in the book.
  • Compare the book's explanations with the course materials.
Implement a Basic Data Structure Library
Solidify your understanding of data structures by implementing them from scratch. This hands-on project will deepen your knowledge and improve your coding skills.
Show steps
  • Choose a few data structures to implement (e.g., linked list, stack, queue).
  • Write C++ code to implement the chosen data structures.
  • Test your implementation thoroughly.
Create a Blog Post Explaining Dynamic Programming
Deepen your understanding of dynamic programming by explaining the concept in a blog post. Teaching others is a great way to reinforce your own knowledge.
Show steps
  • Research dynamic programming concepts and techniques.
  • Write a clear and concise blog post explaining dynamic programming.
  • Include examples and code snippets to illustrate the concepts.
Contribute to an Open Source Project
Apply your data structures and algorithms knowledge to a real-world project. Contributing to open source will give you valuable experience and improve your coding skills.
Show steps
  • Find an open-source project that uses data structures and algorithms.
  • Identify a bug or feature that you can contribute to.
  • Submit a pull request with your changes.

Career center

Learners who complete Data Structures & Algorithms, Level-up for Coding Interviews will develop knowledge and skills that may be useful to these careers:
Software Engineer
A software engineer designs, develops, and tests software applications. This course helps one become a better software engineer by strengthening core data structures and algorithms, which form the bedrock of efficient and scalable software design. The course emphasizes the problem-solving process, including optimization techniques, which are highly valuable in software development. The course's coverage of arrays, strings, hashing, stacks, queues, linked lists, trees, and graphs is directly applicable to the data structures used daily in software engineering. Moreover, this course specifically teaches optimization of brute force solutions, which accelerates algorithmic thinking.
Algorithm Developer
Algorithm developers design and implement algorithms for diverse applications, often requiring advanced knowledge of data structures and algorithmic techniques. This course directly trains individuals to excel as algorithm developers by providing comprehensive instruction on data structures and algorithms. The curriculum covers a broad range of essential topics, including dynamic programming and graph algorithms, taught from the fundamentals. This course helps algorithm developers in optimizing brute force solutions and constructing more efficient algorithms. Furthermore, the course's comprehensive coverage of optimization techniques and problem-solving strategies is critical for anyone aiming to design cutting-edge algorithms.
Machine Learning Engineer
Machine learning engineers develop and deploy machine learning models, requiring expertise in algorithms, data structures, and software engineering principles. This course helps in this career by building a foundational understanding of data structures and algorithms, which are crucial for creating scalable machine learning solutions. The course's detailed coverage of graph algorithms, dynamic programming, and hashing techniques are invaluable for machine learning tasks. Furthermore, the training in optimization techniques and problem-solving strategies helps machine learning engineers design efficient and effective machine learning models.
Performance Engineer
Performance engineers optimize software systems to ensure they run efficiently. They need to identify bottlenecks and improve response times. This course is a great asset, enhancing skills in data structures and algorithms that are vital for performance tuning. The curriculum covers essential topics, including dynamic programming, which helps in optimizing complex calculations. The intensive training in optimization also equips performance engineers to find and fix performance issues effectively. Furthermore, the course's insights into sorting and searching algorithms are valuable.
Data Scientist
Data scientists analyze large datasets to extract meaningful insights and develop predictive models. This course helps in this role by providing a strong foundation in data structures and algorithms, essential for efficient data manipulation and analysis. The curriculum's coverage of hashing, sorting, searching, and graph algorithms directly applies to data manipulation techniques. The emphasis on problem-solving and optimization teaches data scientists to develop efficient algorithms for processing large datasets. Furthermore, the course teaches the use of sliding window and binary search, which are important for dealing with different searching and sorting challenges.
Data Engineer
Data engineers are responsible for building and maintaining the infrastructure that allows data to be used effectively. This course helps in this field by reinforcing a comprehensive understanding of data structures and algorithms, crucial for efficient data processing and storage. The course's coverage of hashing, sorting, and graph algorithms is directly applicable to data warehousing and pipeline design. Furthermore, the course's curriculum reinforces problem-solving and encourages optimization, skills vital for building robust and scalable data infrastructures.
Game Developer
Game developers create video games, which involves designing and implementing game mechanics, artificial intelligence, and graphics rendering. The course helps one excel as a game developer by providing a deep understanding of data structures and algorithms. The curriculum covers a wide range of essential topics, including graph algorithms for pathfinding and dynamic programming for game AI. Moreover, the training in optimization techniques and problem-solving strategies helps game developers create efficient and engaging game experiences.
Systems Architect
Systems architects design the structure of computer systems, including hardware, software, and communication networks. This course helps in this career by building a strong foundation in data structures and algorithms, which are essential for designing efficient and scalable systems. The curriculum's coverage of topics like graphs and dynamic programming provides insights into complex system behavior. Furthermore, the training in optimization techniques and problem-solving strategies enable systems architects to make informed decisions about system design and resource allocation.
Technical Lead
Technical leads oversee a team of software developers, guiding technical decisions and ensuring project success. This course helps provide a solid foundation in data structures and algorithms, helping guide technical decisions as well as mentor junior developers on efficient coding practices. The curriculum covers a wide range of essential topics, including graph algorithms and dynamic programming, which are crucial for complex problem-solving. Furthermore, the training in optimization techniques enable technical leads to improve team performance and project outcomes.
Quantitative Analyst
Quantitative analysts, often working in finance, develop and implement mathematical models for financial analysis and risk management. This course helps build the analytical and problem-solving skills required for quantitative analysis. The knowledge of data structures and algorithms provides the foundation for developing efficient trading strategies and risk management tools. The course material on dynamic programming and optimization helps quantitative analysts create sophisticated models. Moreover, the emphasis on algorithmic thinking helps quants solve complex financial problems efficiently.
Robotics Engineer
Robotics engineers design, build, and program robots for various applications, requiring proficiency in algorithms, data structures, and software engineering. This course helps in this field by providing a strong foundation in data structures and algorithms, essential for robot control and navigation. The curriculum's coverage of graph algorithms and search techniques directly applies to robot path planning and obstacle avoidance. The emphasis on problem-solving and optimization teaches robotics engineers to develop efficient algorithms for robot control. Furthermore, the course’s insights on using sorting and searching algorithms may be useful.
Database Administrator
Database administrators are responsible for the performance, integrity, and security of databases. This course helps in this role by providing a broad understanding of data structures and algorithms, which are essential for database design and optimization. The curriculum's coverage of hashing, sorting, and searching techniques directly relates to how databases index and retrieve information. The emphasis on problem-solving and optimization teaches database administrators to develop efficient strategies for database management. The course helps DBAs recognize inefficient queries.
Full-Stack Developer
Full stack developers work on both the front-end and back-end of web applications. Often, they will need to work with databases, APIs, and user interfaces. This course may help full stack developers by strengthening their understanding of data structures and algorithms, which helps them in building efficient and scalable web applications. The course's coverage of topics, like hashing, stacks, queues, and trees, is directly applicable to the data structures used in back-end development. The training in optimization techniques is useful for improving application performance. Furthermore, the course helps with general problem-solving abilities.
Embedded Systems Engineer
Embedded systems engineers design and develop software for embedded systems, such as those found in cars, appliances, and medical devices. This course may assist embedded systems engineers by strengthening their understanding of data structures and algorithms, which can be critical for optimizing performance in resource-constrained environments. The course's coverage of trees, and graphs, is directly applicable to the data structures used in embedded systems. Furthermore, the course teaches how to use sorting and searching algorithms efficiently, which can be important for this role.
Security Analyst
Security analysts protect computer systems and networks from cyber threats. This course helps security analysts by strengthening problem-solving skills and providing a deeper understanding of algorithms and data structures. The curriculum covers essential topics, including hashing, which is used in cryptography and data integrity. Moreover, the training in optimization techniques helps security analysts develop efficient security measures. Furthermore, the coverage of sorting and searching may also be useful.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Structures & Algorithms, Level-up for Coding Interviews.
Comprehensive textbook on algorithms, covering a wide range of topics including data structures, sorting, searching, graph algorithms, and dynamic programming. It provides rigorous analysis and clear explanations, making it suitable as a primary reference for the course. It is commonly used in undergraduate and graduate courses in computer science and valuable resource for anyone studying algorithms.
Focuses specifically on preparing for coding interviews, with a strong emphasis on data structures and algorithms. It provides a structured approach to problem-solving, along with numerous practice questions and solutions. Given the course's focus on coding interviews, this book is highly relevant and practical for learners.

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