Award-Winning AP Computer Science Principles
Tutors
Who needs tutoring?
FEATURED BY
TUTORS FROM
- YaleUniversity
- PrincetonUniversity
- StanfordUniversity
- CornellUniversity
Award-Winning AP Computer Science Principles Tutors
Certified Tutor
6+ years
Samuel
Samuel's applied math training at Caltech intersects directly with AP CSP's algorithm and data units — he can trace how a sorting algorithm's efficiency scales or why lossy compression works because he uses that math daily. He also taught a discrete mathematics course through PACT, which means pseud...
California Institute of Technology
Bachelor of Science, Applied Mathematics
Certified Tutor
5+ years
Benjamin
Benjamin's finance and economics training at Notre Dame meant constant work with data modeling, algorithmic thinking, and spreadsheet automation — skills that map directly onto AP CSP's units on data analysis, abstraction, and the impact of computing. He approaches the Create Task like a business ca...
University of Notre Dame
Bachelor of Science in Finance and Economics (minor: Innovation and Entrepreneurship)
Certified Tutor
9+ years
Isabella
Having TA'd computer science courses at MIT and now pursuing a PhD in Operations Research at Georgia Tech, Isabella brings real programming fluency — particularly in Python — to the algorithmic thinking and data analysis threads that run through AP CSP. She digs into how pseudocode on the exam maps ...
Massachusetts Institute of Technology
Bachelor of Science in Mathematics (minors in Management Science and Ancient and Medieval Studies)
Georgia Institute of Technology-Main Campus
Current Grad Student, Operations Research
Certified Tutor
9+ years
Daniel
Daniel's biomedical engineering coursework at Rice means he writes algorithms to process real biological data — exactly the kind of computational thinking AP CSP tests through its Big Ideas on data analysis and abstraction. He brings that applied perspective to the Create Task, coaching students to ...
Rice University
Current Undergrad Student, Biomedical Engineering
Certified Tutor
9+ years
David
Cognitive science training at Stanford gave David an unusual lens for AP CSP — he studied how humans process information before studying how computers do, which means he can explain abstraction, algorithms, and data representation in terms that actually click. His experience teaching web and app dev...
Stanford University
Master of Science, Computer Science
Stanford University
Bachelor of Science, Cognitive Science
Stanford University
BS in Cognitive Science
Certified Tutor
9+ years
Daniel
Daniel's electrical engineering coursework at Vanderbilt means he writes actual code in Java and works with hardware-software interfaces daily — background that makes the pseudocode and abstraction concepts in AP CSP click faster for students. He zeroes in on algorithm design and data representation...
Vanderbilt University
Bachelor of Engineering, Electrical Engineering
Certified Tutor
6+ years
Julia
Stanford's economics curriculum leans heavily on data analysis and programming — skills that map directly onto AP CSP's units on data representation, algorithms, and computational thinking. Julia applies that quantitative training to demystify pseudocode logic and the Create Task's written responses...
Stanford University
Bachelor of Science, Economics
Certified Tutor
8+ years
Pratik
Pratik doesn't come from a traditional CS background, but his premed training at Cornell — where he regularly works with data sets, statistical models, and logical reasoning — maps directly onto the computational thinking AP CSP tests. He's especially effective at breaking down the data analysis and...
Cornell University
Bachelor in Arts, Biology, General
Certified Tutor
9+ years
Derek
Derek scored 5s on both AP Computer Science A and AP Physics C while taking 16 APs at the high school level, so he knows how to manage the breadth of a course like AP CSP without letting any Big Idea slip through the cracks. Now studying CS at Harvard with an applied math minor, he digs into the alg...
Harvard University
Bachelor in Arts, Computer Science
Certified Tutor
6+ years
Ronit
Ronit studies computer science at Yale and knows AP CSP's curriculum from the student side — which Big Ideas actually trip people up on the multiple-choice and where the Create Task rubric quietly punishes vague written responses. He digs into the explanatory writing piece that most students underes...
Yale University
Bachelor of Science, Computer Science
Top 20 Technology and Coding Subjects
Meet Our Expert Tutors
Connect with highly-rated educators ready to help you succeed.
Ankit
AP Statistics Tutor • +48 Subjects
I am Ankit Jajoo. I am enrolled in Duke University Class of 2022 studying neuroscience and computer science. STEM is my number one passion, while history is my number one interest. Humanities and STEM not only coexist, but work together often in life. While STEM provides the foundation for the future, humanities contributes to how it is used to advance humanity as a whole. I love biology, chemistry, and computers. It is so cool to see how all these tiny minute parts of the world interact to create you, me, and everything we touch. On the other hand, history is cool to see how societies interacted to create the present world. The past is never separate from us, but always influencing everything from the various countries to cities to the tiny villages all over the world. The world is a combination of all of this and it is my passion to understand the world. Other than just about education and information, I love teaching other people about stuff. I enjoy teaching all my friends some stuff, in return they teach me other stuff. Contrary to popular opinion, teaching is a two way street. I've learned a tremendous amount from students and I hope they learned a similar amount from me. Tutoring students in a field I enjoy such as STEM or history is a dream come true.
Rhamy
AP Calculus BC Tutor • +54 Subjects
I am a Thomas Jefferson High School for Science and Technology graduate and currently attend Vanderbilt University majoring in Computer Engineering with a minor in Business. I've tutored in various subjects for about 6 years now. I've done it so much, one of the companies I started was tutoring-based. In all, I am a technology-oriented entrepreneur, an impact-driven member of the community, and a striving academic. My passion for computer engineering and dedication to solving the world's problems push me to continue to be better tomorrow than I am today. I am currently pursuing a career in engineering and business where I hope to improve the lives of those around me every step of the way.
Brian
AP Statistics Tutor • +115 Subjects
I'm a recent graduate of the California Institute of Technology in Economics and Computer Science. I was also accepted at Harvard, Princeton, MIT, and Stanford. I have a broad range of interests spanning science, math, engineering, social science, the humanities, the arts, and athletics (I also played on the Caltech basketball team). My background allows me to tutor general college prep, especially the SAT, ACT and the GRE. I love to teach analytical thinking, ranging from advanced Math and Physics to strategies for understanding literature and developing arguments.
Brett
Calculus Tutor • +31 Subjects
I am an undergraduate student at Rice University pursuing a B.A. in Neuroscience with minors in both Business and Biochemistry and Cell Biology. I also compete athletically at the NCAA Division 1 level as a member of Rice's Men's Cross Country and Men's Track and Field teams.
JF
AP Statistics Tutor • +48 Subjects
I'm a freshman at Stanford University pursuing a degree in mathematical and computational science. I've been tutoring students from grades 3-12 throughout high school, and I look forward to continue in college. Nothing excites me more than learning something new, and I strive to share my excitement with my tutees.
Anders
Calculus Tutor • +33 Subjects
I'm an experienced senior software engineer with special interest in teaching math, computer science, software engineering and machine learning.
Matthew
AP Statistics Tutor • +62 Subjects
I am a rising sophomore at Harvard College, currently on leave for the semester. I am a B.A. candidate in mathematics and physics, and I have both professional and academic experience in computer science as well.
Manideep
Pre-Calculus Tutor • +35 Subjects
I am an undergraduate pre-medical student at Northwestern University. I am currently pursuing my degree in Biological Sciences and a minor in Business Institutions. I also work as a TA (teaching assistant) and RA (resident assistant) within the university, so I have practiced many interpersonal skills necessary to be an efficient tutor. As a student in a top-ten ranked institution, I can provide insight and tips for how to best prepare for studies in college.
Jack
Middle School Math Tutor • +33 Subjects
I am currently a student at The University of North Carolina at Chapel Hill pursuing a degree in Computer Science. I not only am incredibly passionate about programming and computer science, but about math and learning in general. I have experience teaching people young and old about computers and the way the work in depth. I love meeting new people and finding out the way they think so I can better serve them as a teacher.
Bryan
Calculus Tutor • +28 Subjects
I am an undergraduate studying Computer Science at the University of Pennsylvania.
Top 20 Subjects
Frequently Asked Questions
Students typically struggle most with the Create Performance Task (CPT), which requires designing and implementing an original program while documenting the development process—many find the balance between coding complexity and clear documentation difficult. Algorithm design and abstraction also challenge students, particularly understanding how to break down problems into manageable pieces and recognize patterns across different coding contexts. Additionally, the Explore Performance Task's data analysis component requires students to interpret real-world datasets and draw meaningful conclusions, which demands both technical skills and critical thinking that don't always come naturally together.
A tutor can guide you through the entire performance task lifecycle—helping you select a meaningful project idea, plan your program's architecture, and implement it with clean, efficient code. They can also help you develop strong documentation practices by reviewing your written explanations of your code's purpose, design decisions, and how you tested it. For the Explore task, tutors can teach you how to formulate compelling research questions, select appropriate data analysis techniques, and communicate your findings clearly, which are often the weakest areas for students who focus only on the technical side.
AP Computer Science Principles is language-agnostic, so you can use Python, JavaScript, Java, C++, or any other language—the exam focuses on computational thinking and problem-solving, not syntax. That said, Python and JavaScript are popular choices because they have simpler syntax that lets you focus on algorithms and logic rather than wrestling with language details. A tutor can help you choose a language that matches your learning style and ensure you're using it effectively to demonstrate your understanding of core CSP concepts like loops, conditionals, functions, and data structures.
The multiple-choice section (2 hours) requires careful reading of code snippets and tracing through logic—practice identifying what variables store at each step and predicting output without running code. Time management is critical since you'll see 50-70 questions; flagging difficult ones and returning to them helps. For performance tasks, starting early in the school year and treating them like real projects (not last-minute submissions) makes a huge difference. A tutor can help you develop a practice testing schedule that simulates exam conditions and teaches you to recognize common question patterns, like identifying bugs in code or understanding how different algorithms compare in efficiency.
Abstraction—hiding complexity behind simpler interfaces—is easier to grasp when you build it yourself rather than just reading about it. A tutor can have you write functions that encapsulate specific tasks, then use those functions without worrying about their internal details, which builds intuition for why abstraction matters. For algorithms, working through trace-throughs on paper (following code line-by-line) and comparing different approaches to the same problem (like bubble sort vs. merge sort) helps you see why algorithm choice matters. Practice problems that ask you to predict what code does, modify it, or write similar code from scratch reinforce these concepts far better than passive reading.
You'll need to understand how to clean datasets, identify relevant variables, and use basic statistical measures (mean, median, standard deviation) or visualization techniques to uncover patterns and trends. The key is connecting your analysis back to a meaningful question—students often get caught up in the technical side and forget to explain *why* their findings matter. A tutor can teach you how to select appropriate analysis methods for different data types, interpret results correctly (avoiding common mistakes like confusing correlation with causation), and write clear explanations that show you understand what your data actually reveals about the real world.
Score improvement depends heavily on where you're starting and how much time you invest. Students who struggle with specific topics like algorithm design or performance task documentation often see significant gains (2-3 score points) within 4-6 weeks of focused tutoring, while students aiming for a 5 typically need to address subtle conceptual gaps that take longer to identify and fix. Consistent practice with performance tasks and timed practice exams, combined with targeted instruction on weak areas, tends to produce the most reliable improvements. A tutor can help you diagnose exactly where your understanding breaks down and create a realistic timeline based on your current level and target score.
Look for someone with strong programming experience across multiple languages and a clear understanding of computational thinking concepts—they should be able to explain *why* an algorithm works, not just show you the code. Experience with AP Computer Science Principles specifically (ideally having taught it or tutored it before) is valuable since they'll know which topics trip up students and how the exam actually tests your knowledge. They should also be comfortable with both the technical coding side and the communication skills needed for performance tasks, since many strong programmers struggle to document their thinking clearly—a good tutor bridges that gap.
Connect with AP Computer Science Principles Tutors
Get matched with expert tutors in your subject