Master DSA
Solve
Problems
Crack Interviews.
A structured Java + DSA program - from core Java fundamentals to advanced problem-solving. Built with hands-on coding practice, interview-focused questions, and a clear path from basics to advanced DSA
Coding Thinker · 2026
- ✓ Live + recording Learning
- ✓ Structured Java + DSA Roadmap
- ✓ 300+ LeetCode Problems
- ✓ Certificate of Completion
Master Your Technical Skills
Choose from comprehensive coding courses designed to advance your career with practical, project-based learning experiences
What You'll Be Writing on Day One
// Coding Thinker - Java DSA : Master Binary Search
public class BinarySearch {
public static int search(int[] arr, int target) {
int left = 0;
int right = arr.length - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (arr[mid] == target) {
return mid; // Target found! 🚀
}
if (arr[mid] < target) {
left = mid + 1;
} else {
right = mid - 1;
}
}
return -1;
}
}
Built Differently,
Designed to Get You Hired
Zero to Hero Track
Start from "Hello World" and graduate to advanced AI models. The structured path removes guesswork entirely — you always know what to do next.
Real-World Projects
Every module maps directly to real-world coding problems — Regression, Classification, NLP, Neural Networks. Practice in the exact format companies test you.
1-on-1 Mentorship
Get dedicated doubt sessions with your mentor. Stuck on a concept? Never wait more than 24 hours for a real answer from someone who's been there.
Recognized Certificate
Earn a Coding Thinker Certificate of Completion — shareable on LinkedIn and your resume — validating your complete Data Science mastery.
Tools You'll Master — Without the Overwhelm
Master the core industry-standard tools required for entry to senior Data Analyst roles, taught step-by-step from absolute scratch.
Core Java
Build a strong Java foundation covering syntax, data types, operators, loops, arrays, methods and object-oriented programming.
DSA Fundamentals
Retrieve business metrics, join multi-table datasets, and write production-grade queries with ease.
Algorithms & Patterns
Build live executive KPI monitors, interactive slicers, and dynamic business performance summaries.
LeetCode Practice
Master rapid corporate modeling, XLOOKUP, dynamic arrays, and automated executive Pivot Tables.
Structured Learning, Real Results
27 Comprehensive Java + DSA modules — loaded with theory, coding exercises, and real-world problem solving.
Java Introduction
Get started with Java syntax, output, comments, escape sequences, and basic program structure.
Variables & Data Types
Learn variables, identifiers, primitive and reference types, constants, and type casting.
Operators
Master arithmetic, assignment, unary, relational, logical, ternary, and bitwise operators.
Strings, Math & Boolean
Work with strings, common string methods, StringBuilder, StringBuffer, mathematical operations, and Boolean values.
If-Else
Build decision-making logic using conditional statements and solve basic programming problems.
Switch
Use switch statements to handle multiple conditions and create menu-driven programs.
While Loop
Learn while loops and apply repetition to solve fundamental programming problems.
For Loop, Break & Continue
Master for loops and learn how break and continue control program execution.
Loop Practice
Strengthen programming logic through problems involving numbers, factorials, primes, Fibonacci, Armstrong numbers, and palindromes.
Pattern Printing
Learn to create star, number, pyramid, inverted triangle, and diamond patterns using nested loops.
Arrays
Learn 1D and 2D arrays, traversal, aggregation, and matrix operations through practical problems.
Methods
Learn to define and invoke methods using parameters, return values, and method overloading.
Recursion Basics
Understand the fundamentals of recursion and solve problems such as sum, factorial, and Fibonacci.
Object-Oriented Programming
Learn classes, objects, encapsulation, inheritance, polymorphism, abstraction, constructors, and access modifiers.
Interfaces & Inner Classes
Explore interfaces, default and static methods, multiple inheritance through interfaces, and inner classes.
Lambdas & Exceptions
Learn lambda expressions, functional interfaces, try-catch, and custom exception handling.
Threads & File Handling
Understand thread lifecycle, synchronization concepts, and basic file input/output.
Arrays
Master array problem solving with searching, sorting, hashing, Kadane’s algorithm, sliding window, and ArrayList.
Strings
Strengthen string problem-solving through practical coding questions and common string techniques.
Linked List
Learn linked list concepts, custom implementation, CRUD operations, and common linked list problems.
Stack & Queue
Learn stack and queue implementations, expression conversions, Min/Max Stack, and next greater/smaller element problems.
Recursion
Build advanced recursive problem-solving skills through foundational problems, merge sort, quick sort, and related questions.
Backtracking
Learn backtracking patterns and solve problems involving N-Queens, Rat in a Maze, permutations, M-Coloring, and Sudoku.
Dynamic Programming
Learn memoization, tabulation, and space optimization to solve a wide range of dynamic programming problems.
Trees
Learn binary trees, tree types, traversals, depth, diameter, and common tree-based problems.
Heaps & Priority Queue
Understand heap concepts, heap operations, heap sort, and priority queue-based problems.
Binary Search Tree
Learn BST concepts, implementation, properties, and problem-solving through BST-based questions.
We Help Learners Become Industry-Ready Developers
The practical sessions helped me understand how data analytics is actually used. Working on projects and getting regular guidance made it easier to connect the concepts with real work. The experience gave me more confidence going into my internship.
I had a lot of doubts when I started with data analytics, especially with statistics and Python. The projects helped me understand things better by actually working with data instead of just learning the concepts. It was a really useful learning experience.
What I liked most was the practical approach. We worked with different tools and datasets, which gave me a better understanding of how analytics works in real situations. The guidance during the course also helped me feel more prepared for my internship.
Get Certified With Recognized Validation
Earn Your Data Analytics Certificate
- Shareable on LinkedIn and your resume
- Issued by Coding Thinker
- Validates complete Data Analytics fundamentals
- Build real proficiency, show it to recruiters
Building developers who don't just code - they think.
200K+ creators trust Graphy