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Advanced Coding Interview Preparation with Python

Overview

Prepare for advanced coding interviews by strengthening your Python problem-solving skills with efficient algorithms and data structures. Practice decomposing complex tasks, optimizing solutions, and working with hash maps, heaps, sorted lists, and multidimensional arrays.

What you'll learn

  • Analyze time and space complexity and input size constraints to choose a suitable approach
  • Optimize brute-force approaches for greater time and space efficiency
  • Apply hash maps, hash sets, heaps, and sorted lists to algorithmic problems
  • Use two-pointer techniques to streamline array and sequence processing
  • Decompose complex coding tasks into manageable subproblems
  • Combine partial solutions into cohesive Python implementations
  • Perform counting and aggregation efficiently with hash maps
  • Traverse, manipulate, and transpose multidimensional arrays

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $120). Audit access may end after the course closes.

Before you start

Beginner: Debugging and Troubleshooting (Python) Intermediate: General Programming and Algorithms (Python)

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