What will you learn in Decode the Coding Interview in Python: Real-World Examples Course
-
Master essential data structures and algorithms commonly tested in coding interviews.
-
Solve real-world coding problems with optimal Python solutions.
-
Apply problem-solving strategies like recursion, dynamic programming, and sliding windows.
-
Improve time and space complexity analysis skills.
-
Build confidence with mock interview-style questions from top tech companies.
-
Learn to write clean, testable, and scalable Python code for technical interviews.
Program Overview
Module 1: Introduction & Setup
⏳ 1 hour
-
Topics: Overview of coding interviews, Python setup, big-O notation, and expectations.
-
Hands-on: Analyze the efficiency of simple Python snippets using time complexity.
Module 2: Arrays & Strings
⏳ 3 hours
-
Topics: Sliding window, two pointers, in-place modifications, string manipulation.
-
Hands-on: Solve interview problems like “Longest Substring Without Repeating Characters.”
Module 3: Linked Lists
⏳ 2.5 hours
-
Topics: Singly and doubly linked lists, cycle detection, reversal, merging.
-
Hands-on: Code classic problems like “Reverse a Linked List” and “Detect a Cycle.”
Module 4: Stacks & Queues
⏳ 2.5 hours
-
Topics: Stack implementation, queue using stacks, monotonic stacks.
-
Hands-on: Solve questions like “Min Stack” and “Valid Parentheses.”
Module 5: Trees & Graphs
⏳ 4 hours
-
Topics: Binary trees, depth-first and breadth-first traversal, graph representation.
-
Hands-on: Implement “Level Order Traversal,” “Lowest Common Ancestor,” and more.
Module 6: Recursion & Backtracking
⏳ 3 hours
-
Topics: Base case design, recursive calls, permutations, combinations.
-
Hands-on: Solve problems like “Subsets,” “Permutations,” and “Word Search.”
Module 7: Sorting & Searching
⏳ 2.5 hours
-
Topics: Merge sort, binary search, quickselect, search in rotated array.
-
Hands-on: Apply efficient search techniques to real-world problems.
Module 8: Dynamic Programming
⏳ 4 hours
-
Topics: Memorization, tabulation, state transition, overlapping subproblems.
-
Hands-on: Tackle classics like “Climbing Stairs,” “Longest Common Subsequence,” and “0/1 Knapsack.”
Module 9: Mock Interview Problems
⏳ 3 hours
-
Topics: Comprehensive problems across topics from FAANG-style interviews.
-
Hands-on: Practice end-to-end timed problems to simulate real coding interview settings.
Get certificate
Job Outlook
-
Python remains a top language for software engineering, data roles, and full-stack development.
-
Coding interview mastery is crucial for landing roles at Google, Amazon, Meta, Microsoft, and startups.
-
Average software engineer salaries range from $100K–$160K+, especially for candidates who perform well in interviews.
-
Prepares learners for competitive coding platforms and technical assessments.
Explore More Learning Paths
Sharpen your Python skills and coding interview readiness with these carefully selected courses designed to strengthen your programming foundation and prepare you for real-world technical challenges.
Related Courses
-
Introduction to Python Course – Build a strong Python foundation and understand core programming concepts essential for coding interviews.
-
Crash Course on Python Course – Quickly learn Python essentials and gain practical experience for solving technical problems efficiently.
-
Python Basics Course – Master fundamental Python concepts, data types, and functions to confidently tackle coding interview questions.
Related Reading
-
What Is Python Used For – Explore Python’s applications in software development, automation, data science, and real-world problem solving.
