Digital & AI
Data to Decisions
Ask the right question, read the analysis, and decide without writing code.

What you will be able to do.
01
Turn a business problem into a question the data can answer.
02
Read tables and charts and spot what misleads in them.
03
Tell correlation from cause, and chance from pattern.
04
Design a simple two-version test and read its result.
05
Ask the analyst for what you need and check the work.
06
Present a data-backed decision on one page.
Who it is for.
Anyone who owns a decision at work and wants to make it on clearer ground.
Early career
Building a professional base
Learn the language and tools of business before you need them.
New manager
Taking charge of a team for the first time
Move from doing the work to owning its results.
Owner
Running a business of your own
Give your daily decisions a clear frame.
A slot for a real learner's view of this course, with consent.
00%
More confidence leading
A figure from a real survey, when there is one.
00%
Skills applied at work
A figure from a real survey, when there is one.
00%
Effect on career
A figure from a real survey, when there is one.
The syllabus.
4 modules and about 36 hours. Basic spreadsheet skills, percentages and averages help; no coding is needed.
Module 1 · 9 hThe right question
You turn a problem such as rising subscription cancellations into a specific, measurable question, and work out which data you need, where it sits and how good it is before trusting it.
Module 2 · 9 hReading numbers and charts
You learn average, median, variance and sampling, uncover misleading charts, and go through an online shop's sales report to find what the average hides.
Module 3 · 9 hCause or chance: correlation and experiments
You separate correlation from cause on real cases, design a two-version test for a change on an order page, and read its result to decide whether the improvement is real.
Module 4 · 9 hWorking with the analyst and deciding
You practise briefing an analyst clearly and reviewing the work, then present a data-backed decision on one page that states the assumptions and the limits of confidence.
Upcoming cohorts.
| Starts | Pay by | Price | Time |
|---|---|---|---|
| 11 Jan 2027 | 9 Jan 2027 | 4,900 SAR | 6 weeks · 6 h a week (about 36 h) |
| 22 Feb 2027 | 20 Feb 2027 | 4,900 SAR | 6 weeks · 6 h a week (about 36 h) |
| 5 Apr 2027 | 3 Apr 2027 | 4,900 SAR | 6 weeks · 6 h a week (about 36 h) |
Dates and prices are drafts.
Taught by aali's faculty.
Teachers' names and photos are added once confirmed.
Faculty member (draft)Digital & AI
Faculty member (draft)Digital & AI
Faculty member (draft)Digital & AI
How you learn here.
Hands-on
Something to do every few minutes
Short questions and exercises keep you working, not just watching.
Peers
A cohort learning beside you
You discuss the same case and disagree about it.
Cases
Real companies, real decisions
Put yourself in the seat of the person who decided.
Common questions.
When does access start?
For cohort courses on the start date; for on-demand courses as soon as payment is complete.
How much time do I need each week?
About 6 hours a week. The details are in the course summary.
Do I need prior experience?
Basic spreadsheet skills, percentages and averages help; no coding is needed.
What do I get when I finish?
An aali certificate of completion you can add to your CV. We claim no degree and no accreditation.
Can my employer pay for me?
Yes. See the employer reimbursement guide.
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