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Computer Science

Build a strong foundation in programming logic, data structures, and computer science fundamentals.

No reviews yet45hFlexibleAll Levels
$45 USD/hr
Backed by our Tutor Match Guarantee
45h of instructionFlexible formatAll Levels

What you’ll learn

  • Understand core programming and algorithmic thinking
  • Learn fundamental data structures — arrays, stacks, queues, trees
  • Analyze the efficiency of algorithms
  • Apply problem-solving techniques to coding challenges

    • About this course

    This all levels programming & technology course offers 45 hours of instruction. By the end, you'll be able to understand core programming and algorithmic thinking; learn fundamental data structures — arrays, stacks, queues, trees; analyze the efficiency of algorithms; apply problem-solving techniques to coding challenges. Every course on TutorA is reviewed by our team before it's published, and every request is matched by a person — not an open marketplace where anyone can pitch you.

    Structured to work for both newcomers and learners with prior experience in programming & technology.

    What this course covers

    • arrays, linked lists, stacks, queues fundamentals
    • Big O notation: reasoning about growth rates
    • trees, graphs, hash tables, recursion
    • branches into OS, databases, computer architecture

    Computer science tutoring covers more ground than a single programming language, so what a session looks like depends a lot on where you are in a typical curriculum. Early coursework usually centers on programming fundamentals in whatever language a course has chosen, alongside an introduction to data structures — arrays, linked lists, stacks, queues — and the idea of Big O notation, which describes how an algorithm's running time or memory use grows as input size grows, without needing to time it on an actual machine.

    That last idea trips up a lot of students at first, since it asks you to reason abstractly about growth rates rather than just whether code runs. Mid-level coursework tends to move into more structured data structures — trees, graphs, hash tables — and classic algorithms built on them: sorting, searching, graph traversal, recursion.

    Recursion in particular is a concept that usually needs to be walked through on paper, tracing what happens on each call, before it stops feeling like a trick. Further along, computer science branches out significantly into operating systems, databases, computer architecture, and theory of computation, and a tutor's usefulness shifts from teaching a single unified subject to helping you work through whichever specific course or topic you're actually taking, since "computer science" at that level isn't really one subject anymore.

    Technical interview preparation is its own common thread that cuts across all of this, since interview problems tend to draw specifically on data structures and algorithmic thinking rather than any one course's particular syllabus.

    Why a TutorA tutor

    Computer science has no shortage of free and paid self-paced material — MOOCs, textbook-based Coursera specializations, YouTube lecture series. They're a reasonable first exposure to concepts like algorithms or data structures, but they don't stop to answer your specific question about why a proof or a piece of code isn't working. A TutorA computer science tutor works through the actual material you're studying — coursework, interview prep, a specific topic — in live 1:1 sessions matched to your level. Every tutor is reviewed before being matched, and pricing is shown before you book. The Computer Science tutor you're matched with is usually India-based — their profile lists real project and language experience, not just a generic bio.

    Browse more Programming & Technology courses →
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    Tutors for Computer Science

    Harsh PatelIndia · 5 yrs experience
    Teaches Computer Science

    Harsh Patel teaches Python, Computer Science, and Java, bringing 5 years of experience as a software engineer turned educator. That background shows in how he teaches — less about memorizing syntax, more about building logical thinking and genuinely understanding programming fundamentals, since that's what he relied on in real engineering work himself. His sessions work for complete beginners starting with Python or Java as well as students working through broader computer science concepts. Based in India, Harsh teaches online through TutorA's live 1:1 sessions, matched specifically to whichever programming language or CS topic a student is working on.

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    Computer Science tutoring FAQ

    Both — sessions can be matched to a specific class or curriculum you're following, or used to work through general concepts like algorithms and data structures at your own pace.

    Yes — that's a common reason students request computer science tutoring, and sessions can be focused on the specific topics you need.

    It depends on what you want to cover — let your tutor know your background so sessions can be matched appropriately, whether you're starting from fundamentals or going deeper into a specific area.

    No — TutorA courses are live 1:1 tutoring, not self-paced video lessons, so there's no certificate of completion.

    Pricing varies by tutor and is shown on this page before you request a session.

    For Computer Science: Generally, yes — most of TutorA's coding tutors are based in India. Each one is reviewed by our team before being matched, and their profile lists their actual programming background rather than a generic bio.

    It depends on your coursework — many CS programs teach fundamentals in Python, Java, or C++, and a tutor can work in whichever language your class, textbook, or project actually uses rather than assuming one. If you're studying concepts more than a specific language, let your tutor know that too, since the underlying ideas generally transfer.

    Yes — reasoning about how an algorithm's running time or memory use grows as input size grows is more abstract than most other introductory CS topics, and it's common to need it explained with a few concrete examples before it clicks. Sessions can work through your actual coursework problems rather than generic complexity examples.