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Programming Foundation Course

Master Data Structures & Algorithms with Practical Training

Build strong programming logic, understand data structures, solve complex coding problems and prepare for technical interviews with structured DSA training at CIIT Institute.

Beginner Friendly | Practical Learning | Classroom & Online | Weekday & Weekend Batches

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1 Months Weekday Batch
1.5 Months Weekend Batch
Online & Classroom Training Mode
3 Languages English, Hindi & Marathi
COURSE OVERVIEW

Learn Data Structures and Algorithms from Fundamentals to Advanced

Data Structures and Algorithms are essential foundations of software engineering. DSA helps developers organize data, design efficient solutions and solve complex computational problems.

This training starts with programming fundamentals and mathematical analysis, then progresses through linear and non-linear data structures, searching, sorting, recursion, dynamic programming and advanced algorithmic techniques.

Practice problem-solving patterns and prepare for technical coding interviews using platforms such as LeetCode and HackerRank.

Arrays Strings Linked Lists Stacks Queues Trees Graphs Algorithms Dynamic Programming
View Course Syllabus

What You Will Learn

Programming language fundamentals Time and space complexity Recursion and backtracking Linear and non-linear data structures Searching and sorting algorithms Greedy algorithms and dynamic programming Trees, graphs and hashing Advanced problem-solving techniques Technical interview preparation

Develop the Skills Required for Software Engineering

DSA builds the problem-solving and analytical skills needed to design efficient and scalable software.

Problem-Solving Skills

Learn how to break complex problems into smaller, manageable steps and develop logical solutions.

Efficient Coding

Understand algorithm efficiency and write programs with better time and space complexity.

Technical Interview Preparation

Practice coding problems and common algorithmic patterns used in software engineering interviews.

Scalable Applications

Select suitable data structures and algorithms for handling larger datasets efficiently.

Language Adaptability

Understand universal programming concepts that can be applied using Java, Python, C++ or C#.

Analytical Thinking

Improve logical reasoning, mathematical thinking and the ability to compare multiple solutions.

Choose Your Programming Language for DSA

DSA concepts are transferable across programming languages. Build your foundation using a core language.

Java

Practice object-oriented programming, collections, data structures and algorithm implementation in Java.

Python

Learn problem solving with Python syntax, built-in collections and algorithmic techniques.

C++

Explore pointers, memory concepts, STL, data structures and performance-oriented algorithms.

C#

Apply DSA concepts using C# language features, collections and object-oriented programming.

Complete Data Structures and Algorithms Curriculum

A structured learning path from programming fundamentals to advanced data structures and interview-level problems.

01

Programming Fundamentals

  • Introduction to programming languages
  • Java, Python, C++ or C# fundamentals
  • Variables and data types
  • Operators and expressions
  • Conditional statements
  • Loops and control flow
  • Functions and methods
  • Basic memory management concepts
02

Mathematical Analysis & Complexity

  • Introduction to algorithm analysis
  • Time complexity
  • Space complexity
  • Big O notation
  • Omega notation
  • Theta notation
  • Best, average and worst cases
  • Complexity comparison
03

Recursion & Backtracking

  • Introduction to recursion
  • Recursive function execution
  • Base conditions
  • Call stack concepts
  • Recursive problem solving
  • Backtracking fundamentals
  • Preventing excessive recursion
  • Practical coding exercises
04

Arrays & Strings

  • Array fundamentals
  • Array traversal and manipulation
  • One-dimensional and multidimensional arrays
  • String manipulation
  • Two-pointer technique
  • Sliding window introduction
  • Subarrays and substring problems
  • Array and string coding challenges
05

Linked Lists

  • Introduction to linked lists
  • Singly linked lists
  • Doubly linked lists
  • Circular linked lists
  • Insertion and deletion
  • Searching and traversal
  • Reversing a linked list
  • Cycle detection
06

Stacks & Queues

  • Stack and LIFO principles
  • Queue and FIFO principles
  • Stack implementation
  • Queue implementation
  • Circular queues
  • Deque concepts
  • Infix to postfix conversion
  • Expression evaluation
07

Trees & Binary Search Trees

  • Tree data structure fundamentals
  • Binary trees
  • Binary Search Trees (BST)
  • Tree traversal techniques
  • Preorder, inorder and postorder
  • Level-order traversal
  • AVL trees
  • Red-Black trees
08

Heaps & Priority Queues

  • Heap fundamentals
  • Min-heaps and max-heaps
  • Heap insertion and deletion
  • Heapify operations
  • Priority queue implementation
  • Heap sort
  • Practical heap problems
09

Graphs

  • Introduction to graphs
  • Directed and undirected graphs
  • Weighted and unweighted graphs
  • Adjacency matrix
  • Adjacency list
  • Breadth-First Search (BFS)
  • Depth-First Search (DFS)
  • Shortest path algorithms
  • Graph problem solving
10

Hashing

  • Hashing fundamentals
  • Hash tables and hash functions
  • Hash maps and hash sets
  • Collision handling
  • Chaining
  • Open addressing
  • Hash-based searching
  • Practical hashing problems
11

Searching Algorithms

  • Linear search
  • Binary search
  • Searching in sorted arrays
  • Binary search variations
  • Search space reduction
  • Search problem optimization
12

Sorting Algorithms

  • Bubble sort
  • Selection sort
  • Insertion sort
  • Merge sort
  • Quick sort
  • Counting sort
  • Radix sort
  • Bucket sort
  • Sorting complexity comparison
13

Greedy Algorithms

  • Greedy algorithm fundamentals
  • Locally optimal choices
  • Activity selection problems
  • Minimum spanning trees
  • Prim's algorithm
  • Kruskal's algorithm
  • Huffman coding
  • Greedy problem solving
14

Dynamic Programming

  • Introduction to dynamic programming
  • Overlapping subproblems
  • Optimal substructure
  • Memoization
  • Tabulation
  • Knapsack problem
  • Longest Common Subsequence
  • Coin Change problem
  • DP problem-solving patterns
15

Advanced Data Structures

  • Segment trees
  • Tries and string searching
  • Disjoint Set Union (DSU)
  • Union-Find operations
  • Advanced tree concepts
  • Advanced problem-solving exercises
16

Bit Manipulation

  • Binary number system
  • Bitwise AND, OR and XOR
  • Bitwise NOT
  • Left and right shift operators
  • Set, clear and toggle bits
  • Bit manipulation problem solving
17

Advanced Coding Patterns

  • Two-pointer pattern
  • Sliding window pattern
  • Fast and slow pointer technique
  • Prefix sum techniques
  • Binary search patterns
  • Backtracking problems
  • Common interview problem patterns
18

Interview Preparation

  • Technical coding interview practice
  • LeetCode problem solving
  • HackerRank coding challenges
  • Timed coding exercises
  • Problem explanation techniques
  • Code optimization
  • Mock coding interviews

Apply DSA Concepts Through Hands-on Problems

Practice implementation, complexity analysis and problem-solving through structured coding exercises.

Student Record Management

Practice arrays, linked lists, searching and sorting to manage student records.

Library Management Data Structures

Apply hashing, queues, searching and sorting to organize library records.

Shortest Path Finder

Use graph representation and graph traversal techniques to solve path-finding problems.

Priority Task Scheduler

Implement heaps and priority queues to manage tasks based on priority.

Search and Sort Analyzer

Compare searching and sorting techniques and evaluate their time complexity.

Coding Challenge Collection

Solve array, string, recursion, tree, graph and dynamic programming challenges.

Your Step-by-Step DSA Training Path

Step 01 – Programming Foundation

Learn programming syntax, variables, functions, loops and basic problem solving.

Step 02 – Complexity Analysis

Understand Big O, Omega and Theta notations and analyze algorithm efficiency.

Step 03 – Linear Data Structures

Implement arrays, strings, linked lists, stacks and queues.

Step 04 – Non-Linear Data Structures

Practice trees, heaps, graphs and hashing with practical coding problems.

Step 05 – Algorithmic Techniques

Learn searching, sorting, greedy algorithms, recursion and dynamic programming.

Step 06 – Advanced Topics

Explore segment trees, tries, DSU and bit manipulation.

Step 07 – Coding Practice

Solve structured coding challenges using LeetCode and HackerRank.

Step 08 – Interview Preparation

Participate in mock coding interviews, timed challenges and solution reviews.

WHO CAN JOIN?

DSA Training for Students and Working Professionals

DSA concepts are useful for learners from different educational and professional backgrounds.

🌱
Students & Fresh Graduates

Prepare for campus placements, technical internships and software engineering interviews.

🎓
Working Professionals

Strengthen programming and algorithm skills for technical growth and job transitions.

💼
Software Developers

Developers who want to improve problem-solving, code efficiency and technical interview performance.

🔄
Competitive Programming Aspirants

Learners who want to practice algorithmic challenges and structured coding problems.

🔌
Career Switchers

Individuals from other engineering and professional backgrounds who want to build software development skills.

WHY CIIT INSTITUTE?

Key Features That Make CIIT a Learning Choice

Learn through structured lessons, practical sessions and trainer guidance.

👨‍🏫

Expert Trainers

Training guidance from industry-experienced trainers.

🏢

Modern Infrastructure

Learning facilities and tools for an engaging experience.

📘

Comprehensive Curriculum

Structured course content covering essential C concepts.

🗓️

Flexible Schedules

Weekday, weekend, online and classroom options.

🙋

Personalized Attention

Trainer guidance and support for doubt-solving.

🧪

Practical Training

Practise coding concepts through hands-on exercises.

💼

Placement Assistance

Career guidance and placement assistance as described on the institute's course page.

💰

Affordable Fees

Training options with flexible payment possibilities.

📚

Learning Materials

Learning resources for revision and continued practice.

🏅

Certification Guidance

Guidance for relevant learning and certification paths.

🎤

Interview Preparation

Guidance for explaining programming concepts and solving coding questions.

🧑‍💻

Practical Coding

Strengthen your logic through regular programming exercises.

COURSE INFORMATION

DSA Training Course Details

Choose a batch and training mode that suits your schedule.

📅

Weekday Batch

Monday to Friday

Duration: 1.5 Months

🗓️

Weekend Batch

Saturday and Sunday

Duration: 2 Months

🏫

Training Mode

Classroom Training

Online Training

🌐

Training Languages

English, Hindi and Marathi

✓
STUDENT ASSURANCE

5-Day Money-Back Guarantee

The CIIT reference page advertises a five-day money-back guarantee for dissatisfied learners. Please confirm the applicable enrolment and refund terms with the institute before publishing this offer.

STUDENT EXPERIENCES

Our Students' Success Stories

Explore learner feedback about the training and learning experience at CIIT Institute.

★★★★★

"Learning at CIIT has been a truly rewarding experience. Trainers are knowledgeable, approachable and always ready to help. Each topic is explained clearly."

Saurabh Lonkar Student Feedback
★★★★★

"One of the best institutes for students who want to start their career in IT. The CIIT team always supports and guides learners."

Vaibhav Saykar Student Feedback
★★★★★

"The course content was practical and well organized, helping me build strong development skills through the learning experience."

Ajay Wagh Student Feedback
START YOUR PROGRAMMING JOURNEY

Learn DSA Programming at CIIT Institute

Start with programming fundamentals and build a strong foundation for your future in technology.

Weekday: 1.5 Months | Weekend: 2 Months
CONTACT CIIT INSTITUTE

Visit Our Training Centres

Connect with CIIT Institute for C++ Language course details and batch information.

Hadapsar, Pune

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+91-7028565830 +91-9975751649

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Office No. 3A, 1st Floor, Prakash Developers, Near Hotel Rasika, Pune Nagar Road, Vadgaon Sheri, Pune - 411014.

+91-7028561830 +91-7028565830

Baramati

Najmi Complex, Opposite Bus Stand, Indapur Road, Baramati - 413102.

+91-7378565351 +91-7028565830