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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