Overview
Many people take MOOCs and online programs alongside jobs, from professional certificates in data analysis to university-credit courses delivered through a learning management system. Common difficulties are the same across platforms: a lecture that moves too quickly, a prerequisite you are missing, forum answers that do not quite help, and a schedule that slips after the first few weeks.
We support the learning, not the grading. Sessions explain concepts from lectures and readings, work through ungraded practice exercises and similar problems, and help you plan a realistic weekly routine. When you get stuck on a graded quiz or assignment, we help you understand the underlying idea using different examples, and you complete the assessment yourself.
This boundary protects you as well as the platform. Major providers' honor codes require that graded work be your own and forbid sharing answers or letting someone else use your account; breaches can lead to certificates being withheld or revoked. We never log in to your account, view graded questions in order to answer them, or take quizzes, exams or proctored assessments for anyone.
Who it’s for and the problems it solves
This is for you if you are…
- Working professionals taking MOOCs or professional certificates in areas such as data science, programming, business or public health
- Students taking online or hybrid university modules who need tutoring outside scheduled class time
- Learners preparing for a degree program who use online courses to fill prerequisite gaps, such as statistics or calculus
- Adult learners returning to study who want structure and someone to explain difficult material
- Learners taking courses in English as an additional language who need concepts explained more slowly
Common problems we help with
- You fell behind after week two and the course now feels impossible to catch up on
- A lecture assumes knowledge you do not have, such as algebra, basic statistics or programming syntax
- Programming exercises fail and you do not understand the error messages
- Discussion forums are slow or unhelpful, and there is no instructor to ask
- You want to understand the material properly, not just pass the quizzes
- You keep enrolling in courses and not finishing them
What’s included — and what isn’t
Included
- Review of the course syllabus, pacing and assessment structure to build a realistic study plan
- Concept explanations for lectures and readings, using new examples and analogies
- Prerequisite catch-up sessions on foundations the course assumes
- Guided practice on ungraded exercises, practice problems and your own notes
- Worked examples of problems similar to — but not the same as — graded tasks
- Debugging coaching for programming exercises: reading error messages, testing hypotheses and using documentation, with you making the fixes on ungraded code
- Note-taking and review routines for video-based learning, including retrieval practice after each module
- Accountability check-ins to keep you on schedule through to completion
- Guidance on using course forums, office hours and platform resources effectively
- Help planning next steps: follow-on courses, projects or programs
Not included
- Taking, answering or completing graded quizzes, exams, assignments, peer-graded tasks or proctored assessments
- Logging in to your course account or accessing graded content on your behalf
- Providing answers or code intended for submission in graded work
- Reviewing graded work before submission where the course prohibits outside help
- Guaranteeing completion, certificates or grades
What you receive
- Course study plan
- A week-by-week plan fitted to your availability, the course pacing and deadlines, with catch-up options if you fall behind.
- Concept summaries
- Short explanations and diagrams created in sessions for the topics you found hardest, written for revision rather than submission.
- Practice sets
- Additional practice problems or exercises on the same concepts as the course, with worked solutions for self-checking.
- Session notes
- Brief notes after each session: what was covered, what you will practice and the next module to tackle.
How it works
Share the course
You tell us the platform, course title, syllabus and your schedule, and what you are finding difficult. We check the assessment rules so our support stays within them.
Plan the route
We build a realistic weekly plan and identify any prerequisite gaps to cover early.
Learn and practice
Sessions explain concepts and work through ungraded practice and similar problems until you can solve them independently.
You complete the assessments
You attempt graded tasks on your own. If you get stuck, we return to the concept with different examples.
Check in and finish
Regular check-ins keep you on pace through to the end of the course, and we help plan what comes next.
How sessions work
- Parallel examples
- We explain concepts using problems that mirror the skills in the course but with different data and contexts, so understanding transfers without touching graded content.
- Pre-teaching and catch-up
- Covering a concept just before the course introduces it, or filling a prerequisite gap, so lectures make sense the first time.
- Active video learning
- Watching at a pace that suits you, pausing to predict or summarize, and ending each video with a short recall exercise rather than moving straight on.
- Debugging method
- Reading error messages, isolating the problem, forming a hypothesis and testing it — skills that transfer beyond any single exercise.
- Pacing and accountability
- Fixed weekly slots, small goals and check-ins, since completion rates in self-paced courses often depend more on routine than ability.
Honor codes and what they mean for tutoring
Coursera's honor code, for example, requires one account per learner, states that answers to homework, quizzes and exams must be your own unless collaboration is explicitly permitted, and prohibits sharing solutions. The MITx Online honor code similarly asks learners to complete tests and assignments on their own and not to let anyone else use their account. Other platforms and universities have comparable rules.
Learning support is compatible with these rules because it happens outside the graded work: explaining ideas, practicing on other problems and helping you study. If a course explicitly forbids any outside help on a particular project, we respect that and focus on related concepts only after the deadline or on ungraded material.
Common course types we support
Much of our online course support is in quantitative and technical areas where explanations and practice make the biggest difference, but we also support learners in writing-intensive and social science courses.
- Data analysis and statistics certificates, including spreadsheets, SQL, Python or R foundations
- Introductory programming and computer science courses
- Mathematics foundations: algebra, calculus and linear algebra for data science
- Business, economics and finance fundamentals
- University online modules delivered through Moodle, Canvas or Blackboard
When a subject tutor is a better fit
If the online course is only one part of a wider need — for example, you are building statistics foundations for a master's program — a regular subject tutor may serve you better. See our statistics and probability tutoring or other subject pages, and we can align sessions with your course.
What the work can look like
Illustrative example — fictional data
Illustrative session outline: logistic regression in a data science MOOC
A fictional learner on a data science certificate is stuck on a week-4 module about logistic regression and has a graded quiz due. The outline below shows how support stays on the learning side.
Concept first
We explain why linear regression does not suit a yes/no outcome, then introduce odds, log-odds and the sigmoid curve with a simple invented example about whether customers renew a subscription.
Parallel practice
The learner fits a logistic model on a different practice dataset in Python, interprets one coefficient as a change in log-odds and converts it to an odds ratio.
Graded quiz
The learner takes the quiz alone. Afterwards they bring a concept they found confusing — the difference between accuracy and recall — and we cover it with new examples.
Illustrative example only. The learner, course and data are invented to show how sessions support learning without involving graded work.
What you’ll need to provide
- The course name, platform and syllabus or module list
- Your weekly availability and any deadlines for completion
- The course's academic honesty or honor code policy, if it is not publicly available
- Your notes, ungraded exercises and the topics you find hardest
- For programming courses, your development environment details and any ungraded code you want to discuss
You don’t need everything ready to ask for a quote — tell us what you have and we’ll say what’s missing.
What affects price and turnaround
Price depends on
- Number of sessions and whether you want ongoing check-ins for the length of the course
- Subject and technical level of the course
- Amount of prerequisite catch-up needed
- Whether additional practice sets are prepared between sessions
Turnaround depends on
- How far into the course you are and how much catch-up is needed
- Course deadlines and whether it is self-paced or cohort-based
- Your availability for regular sessions
Every project is quoted individually. How we price our work.
Questions people ask before starting
Can you complete my quiz or assignment if I am out of time?
No. Graded quizzes, assignments and exams must be your own work under platform and university honor codes. We can help you understand the material quickly and prioritize, and you complete the assessment yourself.
Can I share my screen while doing a graded quiz?
No. We do not observe or assist during graded assessments. Sessions focus on concepts and practice before and after them.
Do you work with any platform?
Yes — Coursera, edX, FutureLearn, Udemy, Khan Academy, university learning management systems and others. What matters is the course content and its rules on outside help, which we check at the start.
I have fallen far behind. Is it worth continuing?
Often, yes. We look at the remaining modules and deadlines, identify what is essential and build a catch-up plan. If the timeline is genuinely unworkable, we can discuss options such as switching sessions or re-enrolling in a later run.
Can you help with course projects or capstones?
We can teach the skills a project needs and give feedback on your plan where the course allows outside input. We do not write code, analyses or reports for graded projects.