DSA Foundations: Master Problem Solving & Core Patterns – Live Training
(Master Data Structures & Algorithms by building strong problem-solving skills, optimizing solutions, and solving real-world coding challenges with industry-relevant patterns)
Data Structures and Algorithms (DSA) is designed to build strong logical thinking and problem-solving skills required for coding interviews and real-world applications. This course helps learners understand how to break down complex problems, analyze different approaches, and implement efficient solutions using core DSA concepts.
The journey begins with algorithmic thinking, where students learn the fundamentals of algorithms, time complexity, and Big-O notation to evaluate and optimize performance. From there, the course covers essential data structures like arrays and strings, focusing on practical problem-solving techniques such as traversal, prefix sum, and string manipulation.
Learners will also explore hashing techniques using HashMaps and HashSets to improve efficiency and reduce time complexity. In addition, the course introduces powerful problem-solving patterns like the two-pointer approach and sliding window technique, which are widely used in coding interviews to solve problems efficiently.
Each topic is supported with real-world coding problems such as Two Sum, Maximum Subarray, Valid Anagram, Longest Substring Without Repeating Characters, and more—helping students recognize patterns and build confidence.
About the Instructor:
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Annapoorani has over 9+ years of diversified experience in the IT industry, with expertise in Development, Database Administration (DBA), and Performance Testing/Engineering (PT/PE). She is currently working as a Performance Tester and Performance Engineer in the financial and banking domain at a product-based company, where she focuses on delivering high-performance and scalable applications. She brings 4+ years of dedicated online training experience and has successfully trained numerous students and working professionals. She has conducted multiple training programs, workshops, and live sessions, helping learners gain strong practical knowledge and real-time industry exposure. Her sessions are well-structured, interactive, and focused on building both technical skills and problem-solving abilities. Her expertise includes tools and technologies such as JMeter, BlazeMeter, Python, Java, Data Structures, Full Stack JavaScript, Unix, Oracle DB, Bitbucket, Dynatrace, Grafana, and Splunk. She emphasizes hands-on learning, real-time scenarios, performance testing strategies, and interview preparation, making her training highly effective for both beginners and experienced professionals looking to upskill. |
Register for the Course:
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Sessions start from:
Indian Timings: 13th May @ 7:30 PM – 8:30 PM (IST)/
U.S Timings: 13th May @ 10:00 AM – 11:00 AM (EST)/
U.K Timings: 13th May @ 3:00 PM – 4:00 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 7:30 PM – 8:30 PM (IST)
For Participants in the US: Monday to Friday @ 10:00 AM – 11:00 AM (EST)
For Participants in the UK: Monday to Friday @ 3:00 PM – 4:00 PM (BST)
What students have to say about Annapoorani:
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👨 Annapoorani’s teaching style is amazing. She breaks down complex problems into easy steps, which really helped me improve my coding skills Rahul Sharma. — Rahul Sharma 👩 Her step-by-step teaching approach helped me understand even difficult problems easily. Highly recommend her classes! — Aisha Khan 👨 Annapoorani focuses on problem-solving rather than just theory. That made a huge difference in my interview preparation. — Arjun Patel 👩 I loved learning from Annapoorani! Her explanations of arrays, strings, and patterns are very structured and easy to follow. — Emily 👨 Great instructor! Annapoorani explains patterns like sliding window and two pointers in a very practical way. — Daniel Kim 👩 Thanks to Annapoorani, I gained confidence in solving coding problems. Her teaching is beginner-friendly and very effective. — Priya Reddy |
Salient Features:
- 30 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll for this course?
- Beginners who want to start their DSA journey
- Students preparing for coding interviews and placements
- Freshers aiming to build strong problem-solving skills
- Working professionals looking to improve coding logic
- Career switchers planning to enter software development
- Competitive programming enthusiasts who want to improve problem-solving speed
- Learners who want to master arrays, strings, and core DSA patterns
- Anyone interested in learning Data Structures & Algorithms
What will I learn by the end of this course?
By the end of this course, you will be able to solve coding problems efficiently using core DSA concepts and confidently prepare for technical interviews.
- Build strong problem-solving and algorithmic thinking skills
- Understand and apply time complexity (Big-O) for optimized solutions
- Master core concepts of arrays, strings, and hashing
- Solve problems using two-pointer and sliding window techniques
- Learn to convert brute-force solutions into optimized approaches
- Gain hands-on experience by solving 40–50 coding problems
- Identify and apply common coding interview patterns
- Improve logical thinking and coding efficiency
- Write clean and efficient code for real-world scenarios
- Build a solid foundation for advanced Data Structures & Algorithms
Course syllabus:
Level 1 — Foundations of Problem Solving
The goal of this level is to build strong problem-solving skills and algorithmic thinking in students.
Students will learn how to analyze a problem, break it into smaller steps, and implement efficient solutions using coding techniques.
This level focuses on core data structures and patterns commonly asked in coding interviews and competitive programming.
Module 1: Algorithmic Thinking
Students will first understand how to think like a programmer and design efficient solutions.
- Concepts Covered
- What is an Algorithm
- Characteristics of a good algorithm
- Brute Force Approach
- Understanding Optimized Solutions
- Introduction to Time Complexity
- Why efficiency matters in real-world applications
- Basics of Big-O Notation
- Comparing algorithm performance
- Understanding space vs time trade-offs
🔹 Learning Outcome:
- Analyze problems logically
- Identify inefficient solutions
- Improve performance of algorithms
Module 2: Arrays
Arrays are one of the most fundamental data structures used in programming and interviews.
- Array fundamentals and memory representation
- Array Traversal techniques
- Finding minimum, maximum, and sum of elements
- Prefix Sum Technique
- Introduction to Subarray problems
- Difference between subarray vs subsequence
- Basic optimization techniques for array problems
🔹 Problems Covered:
- Two Sum
- Maximum Subarray (Kadane’s Algorithm)
- Best Time to Buy and Sell Stock
- Find missing number
- Running sum of array
- Product of array except self (concept introduction)
🔹 Learning Outcome:
- Efficiently manipulate arrays
- Solve common array-based problems
- Recognize patterns used in interviews
Module 3: Strings
Strings are widely used in data processing, applications, and coding interviews.
- String representation in programming
- Character frequency counting
- String manipulation techniques
- String comparison and transformations
- Working with ASCII characters
- Efficient string operations
🔹 Problems Covered:
- Valid Palindrome
- Valid Anagram
- Longest Common Prefix
- Reverse a string
- First unique character
- String rotation check
🔹 Learning Outcome:
- Handling string-based problems
- Using efficient character operations
- Applying logical thinking to text-processing problems
Module 4: Hashing
Hashing helps solve many problems faster by reducing time complexity.
- Introduction to HashMap
- Understanding HashSet
- How hashing works internally
- Frequency counting techniques
- Using hashing to optimize brute force solutions
- Time complexity advantages of hashing
- Problems Covered
- Two Sum (Optimized with HashMap)
- Contains Duplicate
- Group Anagrams
- Intersection of two arrays
- Find the first non-repeating element
🔹 Learning Outcome:
- Use HashMaps to optimize solutions
- Reduce time complexity from O(n²) to O(n)
- Apply hashing patterns to multiple problems
Module 5: Two Pointer Pattern
Two-pointer technique is a powerful strategy used in many array and string problems.
- Understanding left and right pointer movement
- When to apply the two-pointer approach
- Sorting-based two pointer strategies
- Time optimization using pointers
🔹 Problems Covered:
- Remove Duplicates from Sorted Array
- Move Zeros
- Container With Most Water
- Pair sum in sorted array
- Reverse array using two pointers
🔹 Learning Outcome:
- Solve problems efficiently with pointer techniques
- Reduce nested loops
- Improve algorithm performance
Module 6: Sliding Window Technique
Sliding window is one of the most important patterns used in coding interviews.
- Fixed window vs variable window
- Expanding and shrinking window logic
- Optimizing subarray and substring problems
🔹 Problems Covered:
- Maximum Sum Subarray
- Longest Substring Without Repeating Characters
- Maximum average subarray
- Minimum size subarray sum
🔹 Learning Outcome:
- Identify problems suitable for sliding window
- Optimize brute force approaches
- Solve substring and subarray problems efficiently
FAQs – DSA Foundations : Master Problem Solving & Core Patterns :
1. Do I need prior knowledge of Data Structures & Algorithms?
No, this course is designed for beginners. Basic programming knowledge is enough.
2. Which programming language is required for this course?
You can use any programming language like Java, Python, or C++. The focus is on problem-solving and logic.
3. How many problems will I solve in this course?
You will solve around 40–50 coding problems covering important DSA patterns.
4. Will this course help me in coding interviews?
Yes, the course focuses on interview-relevant problems and patterns commonly asked in top companies.
5. What topics are covered in this course?
The course covers algorithmic thinking, arrays, strings, hashing, two pointers, and sliding window techniques.
6. Is this course suitable for complete beginners?
Yes, it is beginner-friendly and starts from the basics of problem-solving.
7. Will I learn optimization techniques?
Yes, you will learn how to convert brute-force solutions into optimized approaches using efficient techniques.
8. Are real-world problems included?
Yes, the course includes practical and real-world coding problems to improve your understanding.
9. What will I achieve by the end of this course?
You will build strong problem-solving skills, improve coding logic, and gain confidence for technical interviews.
10. Is this course enough to start advanced DSA?
Yes, this course builds a strong foundation required to move to advanced DSA topics.
How can I enroll for this course?
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For any other details, Call me or Whatsapp me on +91-9133190573