Master Excel, SQL, Power BI & AI Tools in 3 months. Get job-ready with Africa's most structured data curriculum — taught by an AI tutor, live mentors, and a pan-African community.
Every company — from Lagos startups to London firms hiring remotely — needs people who can turn raw data into decisions. That person can be you.
Before you enroll, here's an honest look at what this bootcamp requires from you. No surprises.
If you have a laptop, can commit 8 hours a week, and are willing to stay consistent — you have everything you need to complete this bootcamp and change your career.
After 3 months in the Webbo3 Data Analysis Bootcamp, here is exactly what you'll have — and why employers will notice.
Our virtual classroom is open daily. You learn with Kemi, your AI tutor, and join live mentor sessions 3 times every week. This is structured, scheduled, monitored learning.
Tap any week to see the full lesson breakdown. Every topic is carefully sequenced so each week builds directly on the last.
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Excel Interface | Title bar, ribbon, formula bar, sheet tabs. Workbook vs worksheet. Navigating rows, columns, ranges. Keyboard shortcuts. |
| Tue | Data Types & Entry | Text, numbers, dates, currency. AutoFill, Flash Fill, Undo/Redo, Find & Replace. |
| Wed | Formatting | Fonts, borders, fill colours, number formatting, date formats, merge & centre, wrap text, text alignment. |
| Thu | Basic Formulas | SUM, AVERAGE, COUNT, COUNTA, COUNTBLANK, MAX, MIN, LARGE, SMALL. Writing formulas manually vs AutoSum. |
| Fri | Cell Referencing | Relative, absolute ($), and mixed references. Real use cases for each. Freeze panes. |
| Fri & Sat | Live Class | Full Week 1 review. Live build: business sales tracker from scratch. Real-life SME revenue tracking example. Open Q&A. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Text Functions | LEFT, RIGHT, MID, LEN, TRIM, CLEAN, UPPER, LOWER, PROPER, CONCATENATE, TEXTJOIN, SUBSTITUTE, REPLACE, TEXT. |
| Tue | Date Functions | TODAY, NOW, YEAR, MONTH, DAY, HOUR, DATEDIF, EDATE, EOMONTH, NETWORKDAYS, WORKDAY — full date toolkit. |
| Wed | Logical Functions | IF, nested IF, AND, OR, NOT, IFS, IFERROR, IFNA — handle conditions and errors elegantly. |
| Thu | Lookup Functions | VLOOKUP (exact & approximate), HLOOKUP, common VLOOKUP errors, XLOOKUP, INDEX+MATCH, CHOOSE. |
| Fri | Math & Stats | SUMIF, SUMIFS, COUNTIF, COUNTIFS, AVERAGEIF, AVERAGEIFS, ROUND, INT, MOD, ABS, POWER, SQRT. |
| Fri & Sat | Live Class | Live build: payroll sheet using IF, VLOOKUP and SUMIFS. Students solve real business problems. Open Q&A. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Data Cleaning | Dirty data identification, remove duplicates, Find & Replace, Text to Columns, Flash Fill, fixing date and number formats. |
| Tue | Data Validation | Whole number/decimal rules, list dropdowns, date restrictions, custom formulas, input messages, error alerts. |
| Wed | Pivot Table Basics | Creating from a dataset, rows/columns/values/filters, SUM/COUNT/AVERAGE/MAX settings, sorting and filtering. |
| Thu | Pivot Table Advanced | Grouping dates by month/quarter/year, Slicers, Timelines, Calculated fields, Refreshing data, Pivot Charts. |
| Fri | Named Ranges & Tables | Named ranges for formulas, Excel Tables (Ctrl+T), structured references, auto-expand, sorting/filtering with Tables. |
| Fri & Sat | Live Class | Clean a messy real dataset from scratch. Build a Pivot Table and Pivot Chart from cleaned data. Full Q&A. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Charts | Column, bar, line, area, pie, doughnut, scatter, bubble, combo charts. Chart elements: titles, axis labels, legends, data labels. Professional formatting. |
| Tue | Conditional Formatting | Highlight rules, top/bottom rules, data bars, colour scales, icon sets (traffic lights, arrows), custom formula-based rules. |
| Wed | Dashboard Design | Layout principles, linking charts to dashboards, form controls (dropdowns, checkboxes), Camera tool, hiding gridlines for clean look. |
| Thu | Protection & Sharing | Protecting cells and sheets, allowing editing in specific ranges, hiding formulas, comments, co-authoring, saving as PDF. |
| Fri | Capstone Project | Full end-to-end project on a real business dataset. Data cleaning → functions → Pivot Tables → charts → dashboard. Submitted for review. |
| Fri & Sat | Live Class | Students present Excel dashboards. Live instructor feedback. Preview of Month 2: MySQL and Power BI. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | DB Fundamentals | What is a DBMS and RDBMS. Install MySQL + Workbench. CREATE DATABASE, CREATE TABLE, data types (INT, VARCHAR, DATE, DECIMAL). INSERT INTO. |
| Tue | SELECT Queries | SELECT *, SELECT columns, FROM, WHERE clause. Comparison operators: =, !=, >, <, >=, <=. IS NULL, IS NOT NULL. |
| Wed | Filtering Data | AND, OR, NOT. BETWEEN for ranges. LIKE with wildcards (%, _). IN and NOT IN for value lists. |
| Thu | Sorting & Limiting | ORDER BY ascending/descending. Multi-column sorting. LIMIT and OFFSET for pagination. DISTINCT to remove duplicates. |
| Fri | Aggregate Functions | COUNT, SUM, AVG, MIN, MAX. GROUP BY — grouping results. Combining aggregates with GROUP BY for business summaries. |
| Fri & Sat | Live Class | Query a live database in real time. Students write 5 queries from real data questions. Full Q&A on SQL Week 1. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Table Relationships | Primary keys, foreign keys, one-to-one/one-to-many/many-to-many relationships, ERD basics, referential integrity. |
| Tue | JOINs | INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, Self JOIN, joining more than two tables — the core of real SQL analysis. |
| Wed | Subqueries & HAVING | Subqueries in WHERE, SELECT and FROM. HAVING for post-GROUP BY filtering. WHERE vs HAVING explained clearly. Aliases. |
| Thu | Modifying Data | UPDATE, DELETE, ALTER TABLE (add/drop/modify columns), CREATE VIEW, CASE WHEN, COALESCE and IFNULL for NULLs. |
| Fri | Built-in Functions | String: CONCAT, LENGTH, UPPER, LOWER, SUBSTRING, TRIM. Date: NOW, CURDATE, DATEDIFF, DATE_FORMAT. Math: ROUND, CEIL, FLOOR, ABS, MOD. Indexes. |
| Fri & Sat | Live Class | Multi-table JOIN query demo on a real database. Students solve 3 join-based questions live. Full Q&A. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Power BI Interface | Desktop vs Service vs Mobile. Report view, data view, model view. Fields pane, visualisations pane, filters pane, canvas area. |
| Tue | Connecting to Data | Connecting to Excel, CSV, and MySQL database. Get Data menu. Refreshing data connections. |
| Wed | Power Query Editor | Removing columns/rows, renaming, changing data types, splitting/merging columns, replacing values, adding custom columns, Applied Steps panel. |
| Thu | Building Visuals | Bar, column, line charts, Card KPIs, Table & Matrix, Pie & Doughnut, Slicers, Map visual, formatting visuals, page layout, visual interactions. |
| Fri | Intro to DAX | What is DAX, calculated columns vs measures, SUM/AVERAGE/COUNT/DISTINCTCOUNT/MIN/MAX measures, creating measures from scratch, formatting. |
| Fri & Sat | Live Class | Build a Power BI dashboard from scratch in real time. Students follow along and build the same report. Full Q&A. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Advanced DAX | CALCULATE, FILTER, ALL, ALLEXCEPT, RELATED, IF in DAX, SWITCH for conditional logic, DIVIDE for safe division without errors. |
| Tue | Time Intelligence | Creating a date table, TOTALYTD/QTD/MTD, DATEADD, SAMEPERIODLASTYEAR for year-over-year comparison, running totals, moving averages. |
| Wed | Data Modelling | Star schema vs snowflake schema, managing relationships, cardinality, cross-filter direction, RELATEDTABLE, row-level security basics. |
| Thu | Advanced Report Design | Bookmarks, navigation buttons, drill-through pages, custom tooltips, report themes and templates, publishing to Power BI Service, sharing. |
| Fri | Final Project | Full end-to-end project: Excel data cleaning + MySQL queries + Power BI dashboard. Students work independently and submit for review. |
| Fri & Sat | Graduation Class | Final project presentations. Live feedback from instructor. Certificate of Completion awarded. Job-readiness session: remote roles, LinkedIn tips, CV portfolio advice. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | AI Fundamentals | Using LLMs as your data analysis assistant. Effective prompting: structure, context, specificity. Chain-of-thought reasoning for complex problems. |
| Tue | AI for Excel | Generate Excel formulas from plain English. Write VBA and Office Scripts with AI. Use AI to explain and debug complex spreadsheets. |
| Wed | AI for SQL | Generate SQL queries from natural language. Optimize existing SQL. Explain complex joins and subqueries. Fix SQL errors with AI help. |
| Thu | AI for Data Cleaning | Use AI to identify data quality issues. Generate cleaning steps. Create data dictionaries and documentation automatically. |
| Fri | AI for Reports | Write executive summaries from raw data. Create presentation outlines. Generate insights and recommendations from dashboards. |
| Fri & Sat | Live Class | Live demo: end-to-end AI-assisted analysis. Build a complete project with AI support. Q&A on AI tool best practices and limitations. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | GitHub for Analysts | Create GitHub account. Initialize repos. Commit and push code. Write good README files. Organize project files professionally. |
| Tue | Project Documentation | How to document data sources, methodology, insights. Create project walkthroughs. Write clear, concise READMEs for your repos. |
| Wed | Portfolio Website | Build a simple portfolio website (no code options: Carrd, GitHub Pages). Showcase projects effectively. Link to GitHub, LinkedIn, and live dashboards. |
| Thu | Building in Public | Share your learning journey on LinkedIn/Twitter. Post project updates. Engage with the data community. Attract recruiter attention. |
| Fri | Portfolio Review | Polish your 3 capstone projects. Get feedback from peers and mentors. Finalize all project documentation. |
| Fri & Sat | Live Class | Portfolio showcase session. Peer review. Live feedback on projects and documentation. Q&A on building an online presence. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Resume & CV | Structure your resume for data roles. Highlight projects and skills effectively. Use action verbs and quantify achievements. ATS optimization. |
| Tue | LinkedIn Optimization | Profile headline, summary, experience section. Add projects and certifications. Build a professional network. Engage with content strategically. |
| Wed | Job Search Strategy | Where to find jobs (local and remote). Cold outreach to recruiters and hiring managers. Referrals. Job application tracking system. |
| Thu | Technical Interview Prep | Common Excel/SQL/Power BI interview questions. Case study practice. How to explain your projects clearly in interviews. |
| Fri | Behavioral Interviews | STAR method. Common behavioral questions. Telling your career transition story effectively. |
| Fri & Sat | Live Class | Mock interviews. Live resume reviews. Q&A on job search challenges and strategies. |
| Day | Topic | What You'll Learn |
|---|---|---|
| Mon | Final Capstone Project | End-to-end real-world data project: define problem, find data, clean, analyze, visualize, present. Work on your most ambitious project yet. |
| Tue | Freelancing Basics | How to find freelance data gigs. Pricing your services. Contracts and scope of work. Delivering value to clients. |
| Wed | Long-term Learning | What to learn after the bootcamp. Advanced topics (Python/R, cloud). Building a personal learning plan. Staying current in the field. |
| Thu | Internship Prep | Webbo3 internship program details. How to prepare for internship applications. What to expect in your first data role. |
| Fri | Graduation & Next Steps | Final project submission. Program wrap-up. Access to alumni community and ongoing support. |
| Fri & Sat | Graduation Class | Final project presentations. Celebrate your progress. Q&A with alumni working in data roles. Internship matching and next steps. |
You learn from people who do this work every day — not just teach it.
Here is exactly what your ₦30,000 pays for — and why every piece of it matters to your outcome.
"Kemi explains everything with real voice and slides — it honestly felt like having a personal teacher sitting next to me. After Week 2 I was already writing VLOOKUP formulas for my job."
"I had zero SQL knowledge before this. By Week 6 I was writing multi-table JOINs and presenting analysis to my company's management. The live classes are what made the difference."
"The Saturday review class saved me every single week. I'd get confused Thursday, and by Saturday Dwight had explained it three different ways until it clicked. This course is the real deal."
"I got a remote data analyst job 6 weeks after completing the bootcamp. The Power BI dashboard from my capstone project is literally what got me the interview. Worth every naira."
"I paid for 3 expensive online courses before Webbo3. None of them had live sessions. None of them had an AI tutor. None of them had a community. Webbo3 is in a completely different league."
"The combination of Kemi teaching daily and Dwight doing live sessions is unbeatable. I never felt lost for more than 24 hours — someone was always available to help. The community is incredible."
Join the July 1 cohort and go from zero to job-ready data analyst in 3 structured, mentored, AI-powered months. Limited spots available.
Bootcamp starts July 1, 2026. Enroll before spots fill up. Call/WhatsApp: +234 704 253 5177