Data Structures and Algorithms in C++ For Coding Interview from Udemy

What's inside

Learning objectives

Solve easy to medium difficulty problems that address different data strutures

Have an understanding of how to systematically approach coding problems in a step by step manner

Solve easy to medium difficulty problems that address different data strutures
Have an understanding of how to systematically approach coding problems in a step by step manner

Syllabus

Introduction

Introduction to Course

What is LeetCode, and How will we use it?

----------------------ARRAYS AND STRINGS DATA STRUCTURES------------------------

Start of Arrays And Strings Data Structure

Arrays Data Structures: Two Sum

Two Sum problem Statement and O(n^2) Solution

Implementation of O(n^2) naive solution

Optimizing Further for O(nlogn) Solution

Implementing the O(nlogn) Solution

Arrays Data Structures Maximum Consecutive Ones

Problem Statement

O(n^2) Naive Solution

O(n^2) Naive Solution Implementation

O(n) Solution idea and optimizations

O(n) Solution Implementation

Arrays Data Structures: Finding Maximum of three numbers

O(n^3) Naive Solution

O(nlogn) Improved Solution

Implementation of O(nlogn) solution

Optimizing further and reaching O(n) Solution

Implementation of O(n) Solution

------------------------------STACK DATA STRUCTURE------------------------------

Start of Stack Section

Stack Data Structure: Valid Parenthesis

Incorrect Approaches/Algorithms to the Problem

Recursive Algorithm Solution That runs in O(n^2) Time

Implementation of O(n^2) Recursive Algorithm

Optimizing further With Stacks to get O(n) Solution Idea

Stack Data Structure: Baseball Game

Problem Statement and Example

Naive O(n^2) Solution with additional boolean array

Implementation of O(n^2) Solution

Optimizing on the last algorithm to an O(n) Solution

----------------------------HASH MAP DATA STRUCTURE----------------------------

Start of Hash Map Data Structure

Hashmap and Hash Set Datastructure: Contains Duplicate II

Bruteforce Algorithm Idea: O(nk) Solution

Bruteforce Implementation and Time Limit Exceeded

Optimizing Using Hashmaps to get O(n) Solution on average

Implementing the O(n) Solution

Hash map and Hash Set Data structure: Valid Anagram

O(n!) Brute force Solution

O(n^2) Solution idea for Valid anagram

O(n^2) Solution Implementation

O(nlogn) Solution by Optimizing bottleneck

O(nlogn) Solution Implementation

O(n) Solution Idea, The final optimization with Hashtable

------------------------------HEAP DATA STRUCTURE------------------------------

Start of Heap Data Structure

Heap Data Structure: Kth Largest Element in an Array

O(nlogn) Naive Solution Idea

O(nlogn) Naive Solution Implementation

O(nlogk) Optimized Solution Using a Heap

Implementation of O(nlogk) Heap Solution

Heap Data Structure: Find K Pairs with Smallest Sums

Idea of O(n^2Logn) Naive Solution and O(n^2logk) Optimized Solution using Heap

Implementation of O(n^2Logn) and O(n^2Logk) Solutions

---------------------------BINARY TREE DATA STRUCTURE---------------------------

Start of Tree Data Structure Section

Tree Data Structure: Invert Binary Tree

O(n) Recursive Solution Idea

O(n) Solution implementation

Tree Data Structure: Same Tree

Tree Data Structure: Maximum Depth of Binary Tree

------------------------------Assignments Section------------------------------

Arrays and Strings Data Structure Assignment 1

Arrays and Strings Data Structure Assignment 2

Stack Data Structure Assignment 1

Hash Table Assignment 1

Heaps Assignment 1

Binary Trees Assignment 1

Binary Trees Assignment 2

Binary Trees Assignment 3

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops a strong foundation in data structures and algorithms for learners looking to strengthen their problem solving skills in these foundational areas

Covers a wide range of data structures and algorithms, from arrays to binary trees, providing a comprehensive understanding of these fundamental concepts

Focuses on practical implementation of data structures in C++, making it immediately applicable to real-world software development

Emphasizes problem-solving techniques and algorithmic thinking, essential skills for tackling coding interviews

Provides multiple assignments to reinforce understanding and give learners hands-on practice

Taught by El Farouk Yasser, an experienced instructor with over 10 years of industry experience in software engineering

Reviews summary

C++ data structures and algorithms course

According to students, this course provides a solid foundation in data structures and algorithms for coding interviews. The course content is well-structured and engaging, featuring lectures and assignments that help learners apply their knowledge. The instructor is knowledgeable and responsive, and the course provides ample practice opportunities through quizzes and homework. However, some learners suggest expanding the course to cover more advanced topics.

Well-structured content

"The course content is well-structured and engaging."

Ample practice opportunities

"The course provides ample practice opportunities through quizzes and homework."

Knowledgeable instructor

"The instructor is knowledgeable and responsive."

Limited advanced topics

"Some learners suggest expanding the course to cover more advanced topics."

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 and Algorithms in C++ For Coding Interview with these activities:

Organize Your Course Notes

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Keeping your course materials organized will help you easily access and review important concepts.

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Gather all of your course materials (notes, slides, assignments, etc.)
Create a system for organizing your materials
Regularly review and update your organized materials

Review Basic Complexity Analysis

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It's important to review basic complexity analysis to ensure you have a solid foundation for understanding the efficiency of algorithms.

Browse courses on Complexity Analysis

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Review the concepts of time complexity and space complexity
Practice analyzing the complexity of simple algorithms
Use online resources or textbooks for additional practice

LeetCode Exercises

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Solving LeetCode problems will solidify your understanding of the data structures and algorithms covered in the course.

Browse courses on Data Structures

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Create a LeetCode account
Practice solving Easy-level problems
Move on to solving Medium-level problems

Five other activities

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Explain a Data Structure to a Newbie

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Explaining a data structure to someone else will help you reinforce your understanding of how it works.

Browse courses on Data Structures

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Choose a data structure to explain
Break down the data structure into simple terms
Explain how the data structure is used in real-world applications

Follow a Course on Hash Tables

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Hash tables are a fundamental data structure and this tutorial will provide a comprehensive overview of how they work.

Browse courses on Hash Tables

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Find a reputable course on hash tables
Follow the course lectures and complete the exercises
Implement a hash table in your preferred programming language

Attend a Coding Workshop

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Coding workshops provide an opportunity to learn from experts and practice your skills in a collaborative environment.

Browse courses on Algorithms

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Find a coding workshop that aligns with your interests
Register for the workshop and attend the sessions
Participate in the exercises and discussions

Mentor a Junior Programmer

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Mentoring a junior programmer will give you the opportunity to reinforce your knowledge while helping others succeed.

Browse courses on Algorithms

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Identify a junior programmer who is willing to be mentored
Establish regular meeting times
Provide guidance and support on programming concepts and career development

Build a Portfolio of Programming Projects

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Building a portfolio of programming projects will allow you to showcase your skills and demonstrate your understanding of the concepts covered in the course.

Browse courses on Algorithms

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Identify 3-5 programming projects that align with your interests
Design and implement the projects
Document your projects and upload them to GitHub

Career center

Learners who complete Data Structures and Algorithms in C++ For Coding Interview will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is an expert in using data analysis, visualization, and statistical tools to understand complex data. They may use data to build models, make recommendations, or improve business outcomes. This course can help you develop the skills you need to become a successful Data Scientist. You will learn how to use data structures and algorithms efficiently, which are essential skills for working with big data. You will also learn how to apply these skills to solve real-world problems.

See salaries and explore the career path for Data Scientist

Software Engineer - Data Systems

A Software Engineer - Data Systems is responsible for designing, developing, and maintaining data systems. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Software Engineer - Data Systems. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.

See salaries and explore the career path for Software Engineer - Data Systems

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data. They may use these models to make investment decisions, develop trading strategies, or manage risk. This course can help you develop the skills you need to become a successful Quantitative Analyst. You will learn how to use data structures and algorithms to efficiently analyze large datasets. You will also learn how to apply these skills to solve real-world problems.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

A Business Analyst uses data to identify and solve business problems. They may work with stakeholders to gather requirements, analyze data, and develop solutions. This course can help you develop the skills you need to become a successful Business Analyst. You will learn how to use data structures and algorithms to efficiently analyze data. You will also learn how to apply these skills to solve real-world problems.

See salaries and explore the career path for Business Analyst

Data Architect

A Data Architect designs and implements data systems that meet the needs of an organization. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Data Architect. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.

See salaries and explore the career path for Data Architect

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. They may work on projects such as fraud detection, image recognition, and natural language processing. This course can help you develop the skills you need to become a successful Machine Learning Engineer. You will learn how to use data structures and algorithms to efficiently train and deploy machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer builds and maintains data pipelines. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Data Engineer. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.

See salaries and explore the career path for Data Engineer

Statistician

A Statistician uses mathematical and statistical methods to collect, analyze, and interpret data. They may work on projects such as public health, market research, and financial analysis. This course can help you develop the skills you need to become a successful Statistician. You will learn how to use data structures and algorithms to efficiently analyze large datasets.

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Software Developer

A Software Developer designs, develops, and tests software applications. They may work on a variety of projects, such as web applications, mobile applications, and desktop applications. This course can help you develop the skills you need to become a successful Software Developer. You will learn how to use data structures and algorithms to efficiently implement software solutions.

See salaries and explore the career path for Software Developer

Financial Analyst

A Financial Analyst analyzes financial data to make investment recommendations. They may work with clients to develop investment strategies and manage portfolios. This course can help you develop the skills you need to become a successful Financial Analyst. You will learn how to use data structures and algorithms to efficiently analyze financial data.

See salaries and explore the career path for Financial Analyst

Consultant

A Consultant provides advice and guidance to organizations on a variety of topics, such as business strategy, operations, and technology. This course can help you develop the skills you need to become a successful Consultant. You will learn how to use data structures and algorithms to efficiently analyze data and solve problems.

See salaries and explore the career path for Consultant

Database Administrator

A Database Administrator is responsible for the maintenance and performance of databases. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Database Administrator. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.

See salaries and explore the career path for Database Administrator

Product Manager

A Product Manager is responsible for the development and launch of new products. They may work with stakeholders to gather requirements, define product specifications, and manage the product lifecycle. This course can help you develop the skills you need to become a successful Product Manager. You will learn how to use data structures and algorithms to efficiently analyze data and make informed decisions.

See salaries and explore the career path for Product Manager

Systems Analyst

A Systems Analyst analyzes and designs computer systems. They may work on projects such as software development, data management, and network administration. This course can help you develop the skills you need to become a successful Systems Analyst. You will learn how to use data structures and algorithms to efficiently design and implement computer systems.

See salaries and explore the career path for Systems Analyst

IT Architect

An IT Architect designs and implements IT systems that meet the needs of an organization. They may work on projects such as data centers, networks, and cloud computing platforms. This course can help you develop the skills you need to become a successful IT Architect. You will learn how to use data structures and algorithms to efficiently design and implement IT solutions.

See salaries and explore the career path for IT Architect