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Beginner algorithm course

Beginner algorithm course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

You will build a solid foundation in computational thinking, data structures, and algorithm design from the ground up. The course covers essential topics including arrays, linked lists, stacks, queues, and hash tables, along with sorting and searching algorithms analyzed for time and space complexity. You will learn recursion, graph traversals like BFS and DFS, and powerful design strategies including dynamic programming and greedy algorithms. Practical techniques such as two-pointer, sliding window, and backtracking round out your problem-solving toolkit. By the end, you will write, test, debug, and document algorithmic solutions with the clarity and precision that technical roles demand.

Elevify advantages

Develop skills

  • Algorithm Complexity Analysis: Classify and compare algorithms using Big-O notation confidently.
  • Data Structure Selection: Choose the right structure to maximize algorithm efficiency and performance.
  • Recursive Problem Solving: Write, trace, and optimize recursive solutions while avoiding common pitfalls.
  • Algorithm Design Strategy: Apply greedy, divide-and-conquer, and dynamic programming paradigms to real problems.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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