Algorithms 101
Think Like a Programmer: Step-By-Step
Learn the core logic behind problem-solving and build a strong algorithmic foundation.
Algorithms 101 Course Features
Why Choose Us?
Get tailored instruction through focused one-on-one sessions, ensuring you receive personalized support every step of the way.
Our curriculum is built with beginners in mind — no prior coding or analytics experience is required to start your journey.
Work on real-world use cases and scenarios that mirror actual industry challenges, preparing you with job-ready skills.
This course is crafted to help you transition smoothly into analytics roles, with a strong emphasis on employability and practical outcomes.
- Understanding what algorithms are?
- Real-life examples of algorithms (cooking, travel, etc.).
- Steps to write a simple algorithm.
- Intro to time and space complexity (basic).
- What is searching?
- Linear Search (with real-life demo).
- Binary Search (simple explanation with sorted list).
- When to use which one?
- Why sorting is important?
- Bubble Sort (with visualization).
- Selection Sort.
- Insertion Sort.
- Comparing basic sorting techniques.
- Greatest Common Divisor (GCD).
- Prime numbers using Sieve of Eratosthenes.
- Fibonacci numbers (with visual tree).
- Simple math tricks using algorithms.
- What is recursion?
- Simple recursive problems (factorial, sum of numbers).
- Drawing a recursion tree.
- Base case and stopping condition.
- Arrays and Lists.
- Stacks and Queues.
- Introduction to Hash Maps.
- Basic Trees (very simple overview).
- When to use which data structure?.
- Greedy Thinking (change-making problem).
- Backtracking Intro (easy puzzle).
- Breaking problems into smaller parts (divide and conquer idea).
- Thinking step-by-step.
- Solving basic coding problems.
- How to break down a problem.
- Project: Build a simple calculator or search tool.
- Final quiz + certificate.
- Worksheets and handouts.
- Visual cheat sheets.
- Mini coding challenges.
- Help guides for practicing on coding platforms.
- Weekly Live Doubt Clearing & Mentor Support.
- Downloadable worksheets and algorithm cheat sheets.
- Certificate of Completion upon clearing final quiz.
- Progress Reports.
- Understanding what algorithms are?
- Real-life examples of algorithms (cooking, travel, etc.).
- Steps to write a simple algorithm.
- Intro to time and space complexity (basic).
- What is searching?
- Linear Search (with real-life demo).
- Binary Search (simple explanation with sorted list).
- When to use which one?
- Why sorting is important?
- Bubble Sort (with visualization).
- Selection Sort.
- Insertion Sort.
- Comparing basic sorting techniques.
- Greatest Common Divisor (GCD).
- Prime numbers using Sieve of Eratosthenes.
- Fibonacci numbers (with visual tree).
- Simple math tricks using algorithms.
- What is recursion?
- Simple recursive problems (factorial, sum of numbers).
- Drawing a recursion tree.
- Base case and stopping condition.
- Arrays and Lists.
- Stacks and Queues.
- Introduction to Hash Maps.
- Basic Trees (very simple overview).
- When to use which data structure?.
- Greedy Thinking (change-making problem).
- Backtracking Intro (easy puzzle).
- Breaking problems into smaller parts (divide and conquer idea).
- Thinking step-by-step.
- Solving basic coding problems.
- How to break down a problem.
- Project: Build a simple calculator or search tool.
- Final quiz + certificate.
- Worksheets and handouts.
- Visual cheat sheets.
- Mini coding challenges.
- Help guides for practicing on coding platforms.
- Weekly Live Doubt Clearing & Mentor Support.
- Downloadable worksheets and algorithm cheat sheets.
- Certificate of Completion upon clearing final quiz.
- Progress Reports.




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