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Some of the toughest questions in technical interviews require dynamic programming solutions. Dynamic programming (DP) is an advanced optimization technique applied to recursive solutions. However, DP is not a one-size-fits-all technique, and it requires practice to develop the ability to identify the underlying DP patterns. With a strategic approach, coding interview prep for DP problems shouldn’t take more than a few weeks.
This course starts with an introduction to DP and thoroughly discusses five DP patterns. You’ll learn to apply each pattern to several related problems, with a visual representation of the working of the pattern, and learn to appreciate the advantages of DP solutions over naive solutions.
After completing this course, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence.
This course is also available in JavaScript, C++, and Java—with more coming soon!
Some of the toughest questions in technical interviews require dynamic programming solutions. Dynamic programming (DP) is an adv...Show More
WHAT YOU'LL LEARN
A deep understanding of the essential patterns behind common dynamic programming interview questions—without having to drill endless problem sets
The ability to identify and apply the underlying pattern in an interview question by assessing the problem statement
Familiarity with dynamic programming techniques with hands-on practice in a setup-free coding environment
The ability to efficiently evaluate the tradeoffs between time and space complexity in different solutions
A flexible conceptual framework for solving any dynamic programming question, by connecting problem characteristics and possible solution techniques
A deep understanding of the essential patterns behind common dynamic programming interview questions—without having to drill endless problem sets
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TAKEAWAY SKILLS
Content
1.
Getting Started
3 Lessons
Get familiar with dynamic programming, building concepts, and problem-solving skills for coding interviews.
2.
0/1 Knapsack
9 Lessons
Solve challenges with optimized dynamic programming techniques for various combinatorial problems.
3.
Unbounded Knapsack
6 Lessons
Examine dynamic programming strategies for optimizing unbounded knapsack, ribbon cut, rod cutting, and coin change problems.
4.
Recursive Numbers
12 Lessons
Enhance your skills in recursive problem-solving with optimized dynamic programming techniques.
5.
Longest Common Substring
16 Lessons
Solve problems in dynamic programming for various string and sequence optimization tasks.
Introduction to Longest Common SubstringSolving the Longest Common Substring ProblemLongest Common SubsequenceShortest Common SupersequenceMinimum Number of Deletions and InsertionsEdit Distance ProblemLongest Repeating SubsequenceDistinct Subsequence Pattern MatchingInterleaving StringsWord Break IILongest Increasing SubsequenceMinimum Deletions to Make a Sequence SortedMaximum Sum Increasing SubsequenceLongest Bitonic SubsequenceLongest Alternating SubsequenceBuilding Bridges
6.
Palindromic Subsequence
6 Lessons
See how it works to find, optimize, and partition palindromic subsequences and substrings.
7.
Conclusion
1 Lessons
Gain insights into coding interviews, explore advanced topics, practice, and engage with the community.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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Frequently Asked Questions
What is dynamic programming, and why is it important for coding interviews?
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