Excel · Data Analysis · Philippines
Excel Data Analysis Course in the Philippines
An Excel data analysis course in the Philippines should start with a messy file, not a feature tour. This page has both halves: 3 free Excel practice projects with messy Philippine datasets you can download and work through today, and the Excel + AI component of the ₱6,000 Career Bootcamp, taught online with recorded replays. Start with the free half. It costs nothing, and it tells you whether the paid half is worth it.
Quick facts
Excel data analysis at Millennial Business Academy
- Price
- Excel + AI is listed at ₱1,500 on its own, and is included in the ₱6,000 Career Bootcamp and the ₱12,500 Career Bootcamp Premium. One-time payment.
- Free first
- 3 Excel practice projects and 2 Excel Data Cleaning Lab scenarios, with datasets and answers, no payment.
- Format
- 5 live sessions + recorded replays. Online, so you can join from anywhere in the Philippines.
- Duration
- The catalog publishes 5 live sessions + recorded replays rather than a number of weeks, so this page does not quote one. The free beginner Excel project on this page takes 2 to 3 hours.
- Starting level
- Beginner. The bootcamp starts from computer literate, not computer science, so no prior Excel formulas are assumed.
- Tools
- Excel, with ChatGPT and Claude used alongside it (Claude and ChatGPT full masterclass). The same bundle also covers SQL, Data Visualization, Power BI, and Tableau.
- Certificate
- AI badge and certificate of completion, for the bootcamp rather than for Excel alone. Certificate numbers are 9 digits and verifiable at /verify.
- Location
- Online across the Philippines, taught from Dasmariñas City, Cavite.
Where can you learn Excel in the Philippines?
You can learn Excel free on this site right now: 3 Excel practice projects with Philippine datasets, messy on purpose, with the answers published so you can check yourself. For structured teaching, Excel + AI is listed at ₱1,500 and is included in the ₱6,000 AI-Powered Data Analytics Career Bootcamp, taught online with recorded replays.
The Real Job
What is Excel actually used for in a Philippine workplace?
Not the things Excel tutorials show you. Here are the two shapes the work really takes, both of which you can practice on this page for free.
In a Philippine office, Excel is usually where data lands after somebody exports it from something else. The first hour of the job is not analysis. It is making the export usable.
A concrete case, and one you can work through today. A mini-mart owner exports a month of point-of-sale data. Product names are typed in inconsistent casing, the terminal glitched and duplicated receipts, some totals came through blank, and the brief says payment method is encoded three different ways, so the GCash rows will not group together. Until someone cleans that file, nobody at the store can say what sells, when it sells, or how much of the money now moves through GCash. That is an Excel job start to finish, and it is the first practice project below.
The second shape is the recurring computation nobody else wants. An analyst supporting a BPO team receives a biometric export every month and has to produce lates, overtime hours, and overtime pay before payroll cutoff: time out minus time in, minus the unpaid break, overtime past eight hours, overtime paid at the 125 percent rate that brief specifies. That is arithmetic, and it is also where a formula off by one row quietly underpays somebody.
Both are ordinary Philippine work. Neither needs a database, a dashboard tool, or a degree. This is why Excel comes first, and why an Excel course that opens with a tour of the ribbon is teaching the wrong thing.
Free, Today
Where can you practice Excel for free right now?
3 Excel client briefs and 2 Excel cleaning scenarios that already exist on this site. Use them whether or not you ever buy anything from us.
Each project is a client brief rather than an exercise: a situation, the role you play, a deliverable, and a downloadable dataset of genuinely messy data, 1,293 rows across the 3. Each one ends in checkpoints, published numbers you can compare your own answers against, so you can grade yourself without waiting for a teacher.
- Beginner2 to 3 hours
Clean and analyze a sari-sari store's messy sales export
A real cleanup job: duplicates, inconsistent names, and blank cells stand between you and the store owner's first sales report.
384 rows
Open the brief - Intermediate3 to 4 hours
Compute lates, overtime hours, and OT pay from a biometric log
Turn a raw time-in/time-out export into the monthly attendance summary HR actually asks for.
531 rows
Open the brief - Beginner2 to 3 hours
Rescue a candle shop's merged multi-platform orders file
Three platform exports pasted into one spreadsheet: duplicates, stray headers, three date formats, peso signs stored as text, and payment labels typed six ways. Untangle it all.
378 rows
Open the brief
Then the drills
The Data Cleaning Lab, Excel side
Same idea in shorter form: 2 Excel scenarios with 10 scored questions between them, each answer explained with the formula that produces it. You clean first, then answer, and every answer is checkable from your own cleaned sheet.
- The merged multi-platform orders file, for Ms. Odiamar, Owner at Dalisay Home Scents
- The gym membership roster, for Mr. Villaflor, Owner at Alab Fitness Studio
The briefs, the tasks, and the checkpoints are readable without an account. Downloading a dataset asks you to sign in as a free member with your first name and email: one magic link, no password, no card.
If you do nothing else on this page, start with Clean and analyze a sari-sari store's messy sales export. It takes 2 to 3 hours, and it is the closest thing here to a real first day on the job.
The Paid Path
What does the bootcamp cover for Excel?
The catalog describes the program two ways, and both are printed here exactly as it states them. What it does not publish is a lesson-by-lesson Excel syllabus, so this page does not print one either.
Excel + AI is component 2 of 7 in the Career Bootcamp. Sold on its own the catalog lists it at ₱1,500. The whole bundle is ₱6,000, paid once, and the Career Bootcamp Premium at ₱12,500 adds four months of advanced training on top of the same core.
The components, in catalog order
- Data Analytics Fundamentals₱1,500
- Excel + AIThis page₱1,500
- SQL + AI₱1,500
- Data Visualization + AI₱1,500
- Power BI + AI₱1,500
- Tableau + AI₱1,500
- Claude and ChatGPT full masterclass₱2,500
Component prices are what each part costs separately. The bundle price of ₱6,000 is what you pay.
The live modules both bundles include
- Data Analytics and AI Foundations
Beginner · Live + replay
Build the data and AI fundamentals every analyst needs, from data thinking to your first AI-assisted analysis.
- AI-Assisted Analytics Tools, Part 1
Intermediate · Live + replay
Use AI tools to clean, explore, and analyze real datasets faster than you thought possible.
- AI-Assisted Analytics Tools, Part 2
Intermediate · Live + replay
Go deeper with AI-assisted analysis, visualization, and reporting on business problems.
- Capstone Project and Personal Brand
Intermediate · Project + live feedback
Ship a portfolio-ready capstone and build the personal brand that gets you noticed by employers and clients.
- Career Readiness and Live Deployment
Intermediate · Live + replay
Get interview-ready and deploy your work live, from a polished portfolio to a focused job search.
5 live sessions + recorded replays. AI badge and certificate of completion.
We are not going to print a week-by-week Excel outline, because the catalog does not publish one and writing a plausible one would be the easiest lie on this page. If you want the lesson order before you pay, ask on the bootcamps page and you will get the real answer.
How long does it take to learn Excel?
Millennial Business Academy does not publish a week count for Excel, and any course that promises one is guessing. What the catalog does state: the 3 free Excel practice projects here take 2 to 4 hours each, and Excel + AI sits inside a bootcamp of 5 live sessions + recorded replays you can rewatch.
Tool Fit
When should you reach for Excel instead of SQL, Power BI, or Tableau?
Excel is the right tool more often than analysts admit, and the wrong one in three predictable situations. Here is the honest split, with the catalog component each tool carries.
Excel stops being the answer when the file is too large to open, when the export is stale the moment you save it, and when the same report is asked for every single week. Those three failures are what the other tools exist to fix, and each has its own guide.
| Tool | Best at | Reach for it when | In the bootcamp |
|---|---|---|---|
| ExcelThis page | Looking at a file, fixing it by hand, and answering a question today | The data arrived as a spreadsheet or a CSV export, it fits on your screen, and one person needs the answer this afternoon | Excel + AI, listed at ₱1,500 |
| SQL | Pulling the exact rows you need out of a database | The data lives in a system, not a file, and the export is either too big for a sheet or out of date the moment you save it | SQL + AI |
| Power BI | A report that refreshes itself and gets read every Monday | The same question is asked every week, and you are tired of rebuilding the same pivot table | Power BI + AI |
| Tableau | Exploring a dataset visually and presenting what you found | You do not yet know what the story is, and you need to see the shape of the data before you can explain it | Tableau + AI |
Scroll the table sideways on a phone to see every column. The full path, in teaching order, is on the data analytics bootcamp page.
The Decision
Which should you choose?
Find your own situation and stop reading there. Two of these cost nothing, and we would rather you took those first.
If you have never cleaned a real dataset, start with the free Excel practice projects on this page. They cost nothing, the datasets are genuinely messy, and the answers are published so you can check yourself without asking anyone.
Costs nothingIf you can already do lookups and pivot tables, and your problem is that the file is too big or out of date, your next tool is SQL, not more Excel. Learning a fifth lookup function will not fix a data source problem.
If you are rebuilding the same report every week for the same manager, learn Power BI next. That is a publishing problem, and Excel is the wrong shape for it.
If you want the whole analyst path taught in order, with live sessions and a certificate, the Career Bootcamp at ₱6,000 covers 7 components including Excel + AI, paid once.
If you already work in Excel all day and only want the AI layer on top, you do not need a full analyst bootcamp. Do the free projects with ChatGPT or Claude beside you first, and see what is left over that you still cannot do.
Costs nothing
FAQ
Excel data analysis in the Philippines: FAQs
Yes, and the honest reason is not that Excel is exciting. It is that a Philippine employer will often hand you a spreadsheet or a CSV export rather than database access, so Excel is where the work starts whether or not the company owns anything fancier. It is also the tool interviews test: the Data Analyst track in our free Interview Simulator asks Excel questions, because hiring managers still use them to separate people who have handled real data from people who have watched videos about it. Learn Excel first, then learn what it cannot do.
Excel first, in almost every case. Excel teaches you what clean data looks like, and that judgment carries into every other tool, while the reverse is not true. Reach for SQL when the data lives in a system rather than a file. Reach for Power BI when the same report is asked for every week. Reach for Tableau when you need to explore and present. All 7 components sit in the Career Bootcamp at ₱6,000, and the catalog lists them in that order, so you are not guessing what comes next.
Yes. The 3 Excel practice projects and the 2 Excel Data Cleaning Lab scenarios are free, and the briefs, tasks, and answer checkpoints are readable without an account. Downloading the dataset files asks you to sign in as a free member with your first name and email, which takes one magic link and no password. Nothing is charged, and no card is asked for. The paid product is the bootcamp, and it is a separate decision you can make later or never.
No. The AI-Powered Data Analytics Career Bootcamp starts from computer literate, not computer science, so it assumes you can open a file and type in a cell, and builds from there. If you want to arrive with a head start, do the beginner Excel practice project on this page first. It takes 2 to 3 hours, and it will tell you honestly whether the pace suits you before you pay anything.
Yes for the free practice work. Every Excel project here says to open the dataset in Excel or Google Sheets, and the cleanup, lookups, and pivot work all translate. Two things to watch: the exact function names and some date handling differ, so a formula copied straight across may need a small edit, and that is a useful exercise rather than a problem. If your target job advert names Excel specifically, do at least one pass in Excel itself.
No. Graduates receive the AI badge and certificate of completion for finishing the bootcamp, not for a single component, so there is no standalone Excel certificate. Certificate numbers are 9 digits and anyone can check one at /verify, which matters more than the paper: a hiring manager can confirm it in seconds. The free practice projects do not carry a certificate at all, and their value is the work itself, which you can show.
Not on its own, and we do not guarantee placement to anyone. Excel is the entry ticket, not the whole application. What moves a hiring decision is evidence you can handle real, messy data and explain what you found, which is exactly what the practice projects here are built to produce. Graduates of the bootcamp have been hired at BPI BanKo as a Business Analytics Officer and at Reed Elsevier as a BI Support Analyst. That is evidence that the path works for some people, not a promise that it will work for you.
Written by JC de las Alas, Founder and Lead Instructor at Millennial Business Academy.
Last updated:
Start with a messy file, not a feature tour
Do a free Excel project first. If you want the whole analyst path taught in order, the Career Bootcamp is ₱6,000, paid once.