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[tutor_dashboard_password_reset]The fear that stops many Master's students cold: standing at your defence unable to explain a coefficient you did not truly produce. You struggle to move from a raw questionnaire to correct, defensible analysis, then to interpret your results persuasively and cohesively and tie them to your literature review. Each week your coach sits with you, in SPSS, building the skill to do it yourself. You stay the analyst throughout.
One coach, hands-on · One live session a week, up to an hour · Built for African Master's social sciences students
A skill is acquired by doing it under guidance, not by watching. You can read about a regression table or a coding scheme and still freeze when the raw questionnaire is in front of you and the analysis has to be correct and defensible. Coaching is where the skill becomes yours: you run the analysis on your own data, your coach explains and corrects in the moment, and each week adds another piece your results depend on, from turning returns into a clean dataset to testing reliability and validity, descriptives, correlation, regression and hypothesis testing, using AI honestly, and a results section you can present and defend. Open any pillar below to see how it moves your thesis.
Every module follows the same learning loop. The coach demonstrates the technique on SPSS, you run it yourself on your own dataset, and you are corrected and checked until it is automatic. You never simply watch a video alone and hope it sticks.
Why this matters: An SPSS output you did not run is one you cannot defend. Running the analysis yourself is what makes the competence, and the results, unmistakably yours.
Across the coaching: this doing-it-yourself loop runs through all nine modules, from a raw dataset to a written results section.
See the ten modulesYou work with one coach who stays with you for the whole engagement. They come to know your dataset, your field and your habits, so the guidance is specific to you rather than generic advice repeated to a room.
Why this matters: Continuity compounds. A coach who already knows your work can go straight to what matters, week after week.
Note: your coach never replaces or overrules your supervisor. They work alongside supervision, so the analysis you take back is already sharper.
See the ten modulesYou practise every technique on the data that matters, your own dataset, or on a practice dataset if you are equipping ahead of your fieldwork. The variables you code, the descriptives you run, the regression you fit and the results paragraph you draft are all on your real data.
Why this matters: Skill applied to your own dataset turns into thesis progress the same week, not abstract knowledge you still have to transfer.
The bright line: you drive the work throughout. The coach guides and corrects, but never runs your analysis or writes your results section for you.
See the ten modulesBecause the coach reviews your actual work, you are corrected the instant a technique slips, not weeks later on a returned draft. A regression that overreaches, a coefficient read the wrong way, a correlation mistaken for cause, all fixed while you are still in the output.
Why this matters: Correction in the moment is the fastest way to build a skill. You do not carry the mistake into the next test.
How it lands: you leave each session with three concrete things to practise, so the correction turns straight into your next week of work.
See the ten modulesMost Master's students are doing this around work, family or distance. The coaching is built for exactly that. The hands-on practice happens in your own analysis days, and the hour with your coach is reserved for substantive work on what you already did, never for catching up.
Why this matters: An hour a week becomes an analysis you can defend, because the rhythm respects the little time a working, parenting or caring candidate can spare.
Your week, mapped: the switcher further down the page walks through each day, from your practice to your sixty-minute hour.
See the ten modulesThe data analysis skills and the SPSS fluency you build in coaching do not expire when this thesis is bound. Built once, they carry you through the remaining chapters, and through the papers, reports and analyses that come after.
Why this matters: You are not renting help for one deadline. You are building a craft that serves every piece of research you ever produce.
See the packages: Compare the three coaching packages
See the ten modulesCoaching builds the analysis skills and the SPSS fluency into you, so you can do the work yourself, on this thesis and every project after it. You stay the analyst throughout, and the skills stay with you for good.
Every module follows the same loop: the coach demonstrates the technique, you practise it on your own dataset, and you are corrected until it is automatic. Together they carry you from designing your instrument to defending your results at the defence. The path below moves on its own from 01 to 10; hover the card or use the pause button to take your time, or select any step to jump.
Your journey, 01 to 10
Most Master's students juggle the thesis with work and family, so coaching has to fit a real week. The hands-on work happens in your analysis days, where you practise the test and the SPSS run on your own dataset. The hour with your coach is reserved for substantive work on what you already did, never for catching up. Here is what each day looks like.
The first two days are spent doing the thing you and your coach worked through in the session: re-run the analysis you started together, clean the dataset, recode the variables you agreed, or rebuild the descriptives table to the layout you set.
This is the smallest, most achievable kind of progress: applying a skill you have just been shown, on the dataset that matters. Most Master's students find these the most productive days of the week.
Now the harder practice. You push the skill into new territory: a fuller correlation matrix, a first regression model, a run of hypothesis tests, using SPSS on your own dataset or a set exercise.
This is where the analysis feels lonely; you sit with the output until it makes sense. Even a rough run is better than none, and your coach will sharpen how you read it.
You send your coach what you practised this week: the dataset you cleaned, the variables you coded, the descriptives you ran, the regression output you produced.
You add two or three specific questions, the places the output did not make sense. Sending it by Day 5 gives your coach two full working days to review your practice before you meet, and that is what makes the session substantive.
Behind the scenes, your coach goes through what you practised: noting where the interpretation slipped, which step to demonstrate again, and the hands-on work to do with you tomorrow, the analysis to re-run, the variables to recode, the coefficients to read.
You are not idle on Day 6. You are reading, practising or resting. But the substantive coaching work for the week is already under way on the output you produced.
You arrive with your practice already reviewed, so the hour is substantive from the first minute. You work the technique together: re-run the analysis, fix the coding, run the regression, read the coefficients, sharpen the results paragraph, while the coach guides and you drive.
You leave with three concrete things to practise for the coming week, so the momentum carries straight into your next analysis days.
Within five working days of your session, a written summary of the fixes follows, so nothing from the hour is lost and you can act on it in your own time.
That summary, plus your three practice tasks, is what turns one live hour into a full week of forward motion, and it repeats, week after week, until the results section is written.
Plays through on its own. Hover to pause, or click any day to jump.
A view of one coaching week. The practice happens in your analysis days, and your live hour is reserved for substantive, hands-on work.
Every session runs the same way, so you always know what to expect and how to prepare.
Coaching builds the analysis skills and the SPSS fluency your thesis depends on, into you. These are the things you walk away able to do yourself, on this dataset and every study after it.
Turn each objective into clean, measurable items, check content validity and reliability, and pilot and refine your questionnaire before you collect a single response.
Take a raw questionnaire dataset from collection to a clean, analysis-ready file: handle missing values, spot and fix miscoded entries, and know your data is sound before a single test is run.
Turn a questionnaire into a correctly coded SPSS file: define your variables, label the values, enter Likert and frequency responses, and build a dataset SPSS can actually analyse.
Produce the frequencies, means and distributions your results section opens with, and read every descriptive figure so you can say what it means, not just where it sits in the table.
Run the correct correlation and linear regression for your objectives, interpret each coefficient in plain language, and know what the model can and cannot claim, so it never overreaches.
Choose and run the right hypothesis test for each hypothesis, write an impactful results section from your own output, and explain where every number came from when a supervisor probes it at the defence.
All three are built on the same one-to-one, hands-on data analysis coaching. They differ in how many of the ten modules the coaching covers: the foundational core, modules 01 to 03; the core plus the three main analyses, modules 01 to 06, with six months of e-learning access to those modules; or, at the top tier, the complete ten-module set through to defending your results, with six months of e-learning access to all ten. You stay the analyst throughout. You pay to enrol, then book your weekly sessions. Most Master's students choose the middle option.
Live one-to-one coaching on the first four modules, the data and measurement foundation every result depends on. You do the work and own every output; we coach the skill.
Live one-to-one coaching across all nine modules, from collecting your data through your full analysis in SPSS to defending every statistic. You do the work and own every output; we coach the skill.
Everything in Package 2, plus a mock defence of your results: your coach plays the examiner and questions you statistic by statistic on your own dataset and interpreted results, so you can defend every figure in the room. You own every output and every decision, and you keep six months of e-learning access to all nine modules.
Two low-pressure ways to explore before you enrol: ask us to call you back on WhatsApp at a time that suits you, or book a fit call to talk it through and review your analysis and your tools together. Neither commits you to anything.
Leave your details and the time that suits you. We call you on WhatsApp, so it costs you nothing.
Pick a slot yourself on our calendar and we meet by video. We can talk it through and, if you like, review your work together.
The questions Master's students ask most before enrolling. If yours is not here, ask before you pay.
We answer every enquiry personally, usually within a day, before you commit to anything.
It is one-to-one coaching. You work with a single human coach who, each week, demonstrates the techniques and guides you hands-on through SPSS while you run the analysis yourself. That is different from our self-paced courses, which teach the same statistics as structured modules you study alone. Coaching is the higher-touch, higher-value option for applying the skills to your own dataset; the courses are the lower-cost way to build the basics. Many Master's students use both, in sequence.
It is built for both. The nine modules carry you from dataset collection and cleaning, through questionnaire and SPSS setup, descriptives, correlation, regression and hypothesis testing, to a written results section. Whether you are still gathering questionnaires or already sitting on raw data, the coaching meets you where your work is and takes it forward from there.
No, and that is the bright line. Your coach demonstrates each technique and reviews how you apply it, but you run every SPSS test and write every results paragraph yourself. The coaching builds your capacity to run, interpret and defend the analysis; it never produces the output you submit. That is precisely what lets you stand in your defence and explain where every coefficient came from, because the work is unmistakably yours.
No. AOSARS supplies a practice questionnaire dataset that you can carry all the way to a written results section, so you can start with no topic and no data of your own, including at the top tier. If you already have your own questionnaire or thesis dataset in progress, you are welcome to bring it in, and at Tier 3 the coach works through your own dataset with you to the results section.
Yes. The tools are the heart of the programme, and they are taught hands-on, on your own dataset, with close feedback. An early module sets SPSS up with you and builds your questionnaire-to-SPSS data entry template. From there you learn to define and code variables, run and read descriptives, build correlations and regressions, and run hypothesis tests. You do not need to know any of it beforehand; you need only be willing to drive while the coach guides.
You practise in SPSS through the week, send your output and two or three specific questions by Day 5, and meet your coach for weekly live one-to-one sessions of up to sixty minutes on video, booked through Calendly, to work the techniques together. Because your coach has reviewed your practice beforehand, the hour is substantive from the first minute. You leave with three things to practise, and a written summary of the fixes follows within five working days.
Your supervisor remains your supervisor; we do not replace them. The honest reality is that most African postgraduate supervisors carry many students alongside heavy teaching and administrative loads, which leaves limited time to sit beside a student through every SPSS run. That structural shortage is not their fault. Coaching fills the gap between supervision meetings: weekly, hands-on, focused on the analysis and the interpretation, so the results you take back to your supervisor are already defensible.
You enrol through secure checkout and pay in your local currency, by card, bank transfer or mobile money where it is supported. Payment confirms your place, and we then email you instructions for booking your weekly sessions. If you are unsure which package fits before you pay, email your situation to info@aosars.com or use the no-commitment options above.
Enrol today and turn the analysis you dread into a skill you own, one live hour a week, on your own dataset.
One coach, hands-on. One live session a week, up to an hour. Pay in your local currency on mobile money, card or bank transfer.
