DS-ALGO-CPLUS.AP1
Data Structure and Algorithm with C++
Master your coding skills with C++ programming for Data Structures. Get ready to ace those technical rounds of job interviews.
- Practice in 36 Hands-On Labs — nothing to install
- 14 Interactive Lessons and 128 topics mapped to the official exam objectives
- 180 Practice Test Questions
Intermediate Self-paced · 1 year access
36 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
14Interactive Lessons
128Topics
36LiveLab
180Practice Test Questions
53Flashcards
53Glossary of terms
01 / Skills you'll get
What you will be able to do
The Data Structure and Algorithm with C++ course offers a comprehensive learning of the advanced topics along with a rich collection of practice exercises for deeper understanding. Besides learning the fundamentals of basic data structures like arrays, linked lists, stacks, and queues, you’ll also be working with advanced data structures trees (binary, binary search, AVL, and heap), graphs, and hash tables. Learn how to measure the efficiency of an algorithm using time(how long it takes) and space(space/memory) complexity metrics. For the practical implications, you’ll be sorting algorithms (bubble, insertion, selection, merge, quick, heap) and searching techniques (linear, binary). The course further extends to dynamic programming, greedy algorithms, and advanced tree structures like B-trees. Get access to the C++ Standard Template Library (STL) that features containers (vector, list, deque, stack, queue, priority queue, map, set) and iterators. The course includes exercises and solutions that are useful for both students and professionals. It aims to help you prepare for technical job interviews that typically involve coding questions.
- Implementing various data structures including arrays, linked lists, stacks, queues, trees, graphs, and hash tables
- Optimizing algorithms through time and space complexities
- Enhanced problem-solving skills
- Sorting, searching, and computing via algorithms
- Enhanced C++ programming skills
- Using the Standard Template Library (STL)
- Gain confidence to answer coding questions during technical interviews
- Applying data structures and algorithms for analytical thinking.
Target Career Roles
- Software Engineer
- Web Developer
- Application Developer
- Data Scientist
- Systems Analyst
- Quality Assurance Engineer
- Game Developer
- Database Administrator
- Machine Learning Engineer
- Computer Programmer.
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
14 Interactive Lessons · 128 topics01 Preface 5 topics +
- Purpose/Goals
- Approach
- Summary of the Most Significant Changes in the Fourth Edition
- Overview
- Exercises
02 Programming: A General Overview 10 topics · 2 LiveLab +
- What’s This Course About?
- Mathematics Review
- A Brief Introduction to Recursion
- C++ Classes
- C++ Details
- Templates
- Using Matrices
- Summary
- Exercises
- References
2 LiveLab in this lesson — see the labs panel →
03 Algorithm Analysis 7 topics · 3 LiveLab +
- Mathematical Background
- Model
- What to Analyze
- Running-Time Calculations
- Summary
- Exercises
- References
3 LiveLab in this lesson — see the labs panel →
04 Lists, Stacks, and Queues 9 topics · 7 LiveLab +
- Abstract Data Types (ADTs)
- The List ADT
- vector and list in the STL
- Implementation of vector
- Implementation of list
- The Stack ADT
- The Queue ADT
- Summary
- Exercises
7 LiveLab in this lesson — see the labs panel →
05 Trees 11 topics · 11 LiveLab +
- Preliminaries
- Binary Trees
- The Search Tree ADT—Binary Search Trees
- AVL Trees
- Splay Trees
- Tree Traversals (Revisited)
- B-Trees
- Sets and Maps in the Standard Library
- Summary
- Exercises
- References
11 LiveLab in this lesson — see the labs panel →
06 Hashing 12 topics · 4 LiveLab +
- General Idea
- Hash Function
- Separate Chaining
- Hash Tables without Linked Lists
- Rehashing
- Hash Tables in the Standard Library
- Hash Tables with Worst-Case O(1) Access
- Universal Hashing
- Extendible Hashing
- Summary
- Exercises
- References
4 LiveLab in this lesson — see the labs panel →
07 Priority Queues (Heaps) 12 topics · 2 LiveLab +
- Model
- Simple Implementations
- Binary Heap
- Applications of Priority Queues
- d-Heaps
- Leftist Heaps
- Skew Heaps
- Binomial Queues
- Priority Queues in the Standard Library
- Summary
- Exercises
- References
2 LiveLab in this lesson — see the labs panel →
08 Sorting 15 topics · 3 LiveLab +
- Preliminaries
- Insertion Sort
- A Lower Bound for Simple Sorting Algorithms
- Shellsort
- Heapsort
- Mergesort
- Quicksort
- A General Lower Bound for Sorting
- Decision-Tree Lower Bounds for Selection Problems
- Adversary Lower Bounds
- Linear-Time Sorts: Bucket Sort and Radix Sort
- External Sorting
- Summary
- Exercises
- References
3 LiveLab in this lesson — see the labs panel →
09 The Disjoint Sets Class 10 topics · 1 LiveLab +
- Equivalence Relations
- The Dynamic Equivalence Problem
- Basic Data Structure
- Smart Union Algorithms
- Path Compression
- Worst Case for Union-by-Rank and Path Compression
- An Application
- Summary
- Exercises
- References
1 LiveLab in this lesson — see the labs panel →
10 Graph Algorithms 10 topics · 3 LiveLab +
- Definitions
- Topological Sort
- Shortest-Path Algorithms
- Network Flow Problems
- Minimum Spanning Tree
- Applications of Depth-First Search
- Introduction to NP-Completeness
- Summary
- Exercises
- References
3 LiveLab in this lesson — see the labs panel →
11 Algorithm Design Techniques 8 topics · 1 LiveLab +
- Greedy Algorithms
- Divide and Conquer
- Dynamic Programming
- Randomized Algorithms
- Backtracking Algorithms
- Summary
- Exercises
- References
1 LiveLab in this lesson — see the labs panel →
12 Amortized Analysis 8 topics +
- An Unrelated Puzzle
- Binomial Queues
- Skew Heaps
- Fibonacci Heaps
- Splay Trees
- Summary
- Exercises
- References
13 Advanced Data Structures and Implementation 9 topics +
- Top-Down Splay Trees
- Red-Black Trees
- Treaps
- Suffix Arrays and Suffix Trees
- k-d Trees
- Pairing Heaps
- Summary
- Exercises
- References
14 Appendix A: Separate Compilation of Class Templates 2 topics +
- Everything in the Header
- Explicit Instantiation
Hands-On Labs Our edge
36 LiveLabs- Using Recursive Function
- Resizing a Matrix
- Implementing the Bisection Method
- Finding Minimum Subsequence Sum
- Implementing Binary Search
- Implementing the STL find Routine
- Working with Lists
- Converting an Infix Expression to Postfix
- Checking for Balancing Brackets
- Reversing a Singly Linked List
- Implementing a Stack Class
- Implementing a Dequeue using a Linked List
- Implementing a Depth-First Traversal in the Child-Sibling Tree
- Converting a Tree into Graph-Assembler Instructions
- Using the findMax Function
- Generating an AVL Tree
- Inserting a Node into an AVL Tree
- Implementing a Splay Tree
- Working with Binary Tree
- Implementing a B-Tree
- Inserting Keys into the B-Tree
- Implementing the map Class
- Implementing a Splay Tree
- Counting Number of Collisions
- Implementing Hopscotch Hashing
- Implementing Cuckoo Hashing
- Implementing Extendible Hashing
- Merging Two Max Heaps
- Implementing Insert Operation in a Binomial Queue
- Implementing Insertion Sort using STL
- Implementing Mergesort without Recursion
- Implementing the Selection Sort Algorithm
- Printing a Maze
- Implementing a Topological Sorting Algorithm
- Solving a Single Source Shortest Path Problem
- Implementing Union Function in Kruskal's Algorithm
- Solving the Longest Common Subsequence Problem
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
What are the implications of Data structure and Algorithms in C++?+
Data structure refers to the organization and arrangement of data in an IT setup whereas Algorithm is the step-by-step process of using this stored data for desired results. Deep understanding of both the concepts will enable you to write efficient, scalable, and well-structured C++ programs.
Is C++ good for handling data structure and algorithms?+
Yes, with C++ you can access the standard template library (STL) that facilitates the creation and manipulation of complex data structures.
How to choose the right data structure for C++?+
This would typically depend on the type of data, operations, memory constraints, and time complexity. Once you have an understanding of these factors, you can choose the most appropriate data set for your application.
How will the Data structure and Algorithms (DSA) in C++ course benefit me?+
It will improve your problem-solving skills and enhance your C++ programming skills. With a solid foundation in DSA you’ll be able to crack the coding job interviews with ease and confidently place yourself in high-paid jobs.
Which is the best DSA course on uCertify?+
Essential Algorithms: A practical Approach to Computer Algorithms Using Python and C#. It teaches you how to write codes in both the programming languages.
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Your Roadmap To Success
Enhance your problem-solving skills to ace those job interviews.
- 1 year of full access
- 36 LiveLab included
- Certificate of completion