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Data Structures & Algorithms

Data Structures & Algorithms Tutoring for College & Interviews

One-on-one online tutoring combining data structures and algorithmic problem solving: arrays, linked lists, trees, heaps, hash tables, graphs, recursion, dynamic programming, greedy methods, and complexity. Ideal for CS coursework and coding interviews in Python, C++, or Java.

★★★★★
5.0 Rating 635+ Reviews
400+ Students Helped
400+ Hours in Data Structures 3+ years tutoring

Current rate: $75/hour

Rates may increase as my schedule fills, but once you book a session, your rate is locked in. Loyalty discounts are available for ongoing students. View availability or book a free consultation.

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Data structures and algorithms illustration

Core Data Structures We Cover

We teach how each structure works internally, when to use it, and its performance characteristics.

  • Arrays & Linked Lists
  • Stacks & Queues
  • Trees (BSTs) & Heaps
  • Hash Tables (Maps/Sets)
  • Graphs (adjacency list, BFS/DFS basics)

Looking for a specialized deep dive? Explore my dedicated Data Structures and Algorithms pages.

Algorithm Design & Analysis

Learn the common algorithmic patterns and how to reason about time/space complexity.

  • Recursion & Divide & Conquer
  • Dynamic Programming (DP)
  • Greedy Methods & Foundations
  • BFS/DFS & Shortest Paths

Need the mathematical foundation? Check out my Discrete Math page. Ready to practice? Visit the LeetCode or Interview Prep pages.

What We Work On in Sessions

Sessions are practical and goal-oriented. Typical formats include:

We adapt each session to your current challenges and keep concise notes and practice problems for you to use between sessions.

Need to master a specific algorithm or pattern? Book a session today

FAQ

Frequently Asked Questions

Yes. Each plan begins with an assessment to identify gaps. We teach core concepts, build intuition with visual examples, and progress to implementation and problem practice.

Yes. Sessions include pattern-based practice (e.g., DP, graphs), timed mock problems, feedback on efficiency and communication, and strategies to approach unseen problems. See my Interview Prep page for the full loop.

We primarily teach in Python, Java, and C++. We can also help translate solutions between languages and focus on the language required by your course or interview.

It varies by goal: interview prep often takes 6–12 focused sessions; semester support is typically 1–2 sessions per week. After a free consultation we provide a recommended plan.

Yes. Students receive curated problems, worked solutions, and concise notes after sessions to reinforce learning and track progress between meetings.

We focus on learning and academic integrity: we explain concepts, review partial solutions, and guide you step-by-step so you can complete graded work yourself.
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