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90 Days to Become a
Data Analyst

A complete, practical data analytics training for Africans in the diaspora — starting from absolute zero. No degree. No prior tech experience. Just results.

Start Your 90 Days — ₦50,000
56
Video lessons
7
Modules
90
Days structured
7,300+
Views already
OB
Oluwatosin Babalola
Data Analyst · IT Project Manager · Tech Educator
I went from a confused polytechnic student with no direction to a 7-year professional in data analytics and IT project management. I spent years jumping between UI/UX, frontend dev, and software engineering before realising data was my path. Now I help Africans in the diaspora find theirs — faster, with less confusion, and with real tools they can use immediately.
7 years experience TikTok 28k YouTube 2.66k Excel · SQL · Power BI · Tableau AI & Prompt Engineering
Investment
Choose your path
Self-Paced
₦35,000 /year
Full course access for 12 months
  • ✓ All 56 video lessons
  • ✓ 7 structured modules
  • ✓ Quizzes & reflection prompts
  • ✓ Module completion certificates
  • ✓ Portfolio project guidance
  • ✕ WhatsApp community access
  • ✕ Live Q&A sessions
Enroll — Self-Paced
Access expires 12 months after payment
Most Popular
Self-Paced + Community
₦50,000 /year
Everything, plus live support
  • ✓ All 56 video lessons
  • ✓ 7 structured modules
  • ✓ Quizzes & reflection prompts
  • ✓ Module completion certificates
  • ✓ Portfolio project guidance
  • ✓ WhatsApp community access
  • ✓ Live Q&A sessions
Enroll — Full Access
Access expires 12 months after payment
What you will achieve
By Day 90, you will
📊
Master 4 industry toolsExcel, SQL, Tableau & Power BI — the exact stack employers want
💼
Build a real portfolioFinished projects you can show recruiters, not just certificates
🤖
Use AI in your workflowPrompt engineering and AI tools that make analysts 10× faster
🌍
Be remote-job readyResume tips, GitHub profile, LinkedIn optimisation for global roles
🧠
Think like an analystUnderstand business problems, ask the right questions, tell data stories
🔗
Join a support communityAccountability, peer review, and direct access to Oluwatosin
Free preview — Module 1, Lesson 1
Watch before you commit — no sign-up needed
Curriculum
7 modules. 56 lessons. 90 days.

Each module unlocks after you pass the previous module quiz with 80% or above. First lesson of Module 1 is completely free — no payment needed.

01
Data Analytics Foundations First lesson free
10 lessons · Days 1–10 · ~2 hours total
▶
Start here. This module gives you the mindset, vocabulary, and conceptual foundation every data analyst needs — before touching any tool. By the end, you'll understand what data analysts actually do, what the job market looks like, and how to think about problems with data.
1.1▶What is Data & Data Analysis? Free12:20
1.2🔒Career Paths in Data Analysis — Find Your Ideal Role7:40
1.3🔒The Data Analysis Process — 6 Key Steps Every Analyst Must Know18:52
1.4🔒Understanding Data Types — Categorical, Numerical, Boolean & More10:43
1.5🔒Basic Statistics Every Analyst Should Know — Mean, Median, Mode, Std Dev12:30
1.6🔒Understanding Business Problems — Ask the Right Questions Like a Pro8:22
1.7🔒Mastering Data Cleaning — The Most Important Skill for Every Analyst10:48
1.8🔒Data Ethics for Beginners — How to Handle Sensitive Information10:08
1.9🔒Data Visualization Principles — Tell Powerful Data Stories17:34
1.10🔒Exploring Data Sources — Primary vs Secondary Data14:00
02
Microsoft Excel Mastery 🔒 Enrolled
15 lessons · Days 11–26 · ~5 hours total
▶
Excel is still the most used tool in data analytics globally. This module takes you from the interface basics all the way to dashboards, macros, and a real-world supply chain optimization project. You'll leave here with a portfolio-ready Excel project.
2.1🔒Introduction to Excel — Basic Functions & Interface18:33
2.2🔒Excel Data Cleaning — Remove Duplicates, Find & Replace, Text to Column17:58
2.3🔒Excel Shortcuts That Save Time7:57
2.4🔒Pivot Table Basics — Summarize Data Fast18:17
2.5🔒Charts & Dashboards in Excel Using Pivot Tables24:34
2.6🔒VLOOKUP, HLOOKUP & XLOOKUP Explained13:55
2.7🔒IF, COUNTIF & SUMIF Functions — Conditional Logic in Excel11:32
2.8🔒Conditional Formatting for Better Data Visualization9:30
2.9🔒Charts, Heatmaps & Cleaning Date Columns19:34
2.10🔒Data Validation & Dynamic Dropdowns17:13
2.11🔒Excel Date & Time Functions Made Easy12:54
2.12🔒How to Use Macros in Excel — Automate Without Coding10:45
2.13🔒Supply Chain Optimization Project Part 129:28
2.14🔒Supply Chain Dashboard — Visualizing Data for a Fashion Brand (Part 2)32:37
2.15🔒Reporting for Supply Chain Optimization9:50
03
SQL for Data Analysis 🔒 Enrolled
15 lessons · Days 27–41 · ~5 hours total
▶
SQL is the language of data. Every data analyst uses it. This module takes you from installing SQL to writing complex queries with joins, window functions, CTEs — and a full healthcare data analysis project you can add to your portfolio.
3.1🔒Introduction to SQL & Databases — Install & Understand SQL on Windows7:29
3.2🔒SQL Tables — Create, Insert & View Data12:26
3.3🔒SELECT, WHERE & ORDER BY Clauses13:05
3.4🔒Primary Key vs Foreign Key + Importing Data into SQL11:23
3.5🔒SQL Aggregation Functions with Real Healthcare Data16:14
3.6🔒GROUP BY vs HAVING vs WHERE Explained9:55
3.7🔒SQL JOINS — INNER, LEFT, RIGHT, FULL OUTER with Examples20:09
3.8🔒SQL DDL vs DML vs DCL with Real-Life Examples16:53
3.9🔒CASE Statement & Nested CASE in SQL17:46
3.10🔒Mastering Subqueries in SQL13:16
3.11🔒CTEs vs Temporary Tables — Simplifying Complex Queries14:38
3.12🔒PARTITION BY & Window Functions — RANK, DENSE_RANK, ROW_NUMBER13:05
3.13🔒Healthcare Data Project — Exploration, Preparation & Cleaning (Part 1)31:28
3.14🔒Healthcare Data Project — Full Analysis (Part 2)21:08
3.15🔒Advanced: How to Clean Data in Excel Before SQL Import12:31
04
Data Visualization with Tableau 🔒 Enrolled
4 lessons · Days 42–45 · ~2.5 hours total
▶
Tableau turns data into stories. This module walks you through the full Tableau environment and takes you straight into a real healthcare visualization project — and a customer retention analysis using Tableau, Python, Canva and PowerPoint together.
4.1🔒How to Install Tableau Public (Free Version)2:17
4.2🔒Introduction to Tableau — Data Pane, Shelves, Canvas, Marks32:54
4.3🔒Healthcare Data Visualization in Tableau32:49
4.4🔒Real-World Customer Retention Analysis — Python, PowerPoint, Tableau & Canva1:00:59
05
Power BI & Business Intelligence 🔒 Enrolled
3 lessons · Days 46–48 · ~1.5 hours total
▶
Power BI is the top business intelligence tool in corporate Africa and globally. You'll build your first visualization, then complete a full HR data analytics dashboard — a project type that's extremely popular with employers.
5.1🔒Introduction to Power BI — Creating Your First Visualization41:58
5.2🔒HR Data Analytics in Power BI (Continuation)27:37
5.3🔒HR Power BI Dashboard Creation21:21
06
Portfolio, GitHub & Career Readiness 🔒 Enrolled
6 lessons · ~2 hours total
▶
Having skills is one thing. Getting hired is another. This module is about making sure employers can find you, understand your value, and want to hire you. You'll set up your GitHub, build a portfolio website, and learn to tell stories with data the way hiring managers want to hear them.
6.1🔒How to Set Up Your GitHub Profile & Upload Your Project8:04
6.2🔒How to Create a Stunning GitHub Profile That Stands Out (2025)9:30
6.3🔒Portfolio Website + GitHub Repository Setup & Hosting — Full Guide59:51
6.4🔒Storytelling with Data — Make Your Data Speak & Get Hired5:15
6.5🔒No Stakeholder? No Problem — Dataset to Business Insight4:26
6.6🔒Why You're NOT Landing Remote Jobs in 2025 (And How to Fix It)8:50
07
AI Tools in Data Analysis Coming at launch
New lessons · AI + Prompt Engineering for Data Analysts
▶
The future of data analytics is AI-assisted. This module shows you how to use ChatGPT, Copilot, and other AI tools directly inside your data workflow — writing SQL faster, cleaning data smarter, and communicating insights more effectively using prompt engineering.
7.1🔒AI Tools Every Data Analyst Should Know in 2025Coming soon
7.2🔒Prompt Engineering for Data Analysis — A Practical GuideComing soon
7.3🔒Using ChatGPT & Copilot to Speed Up Your SQL & Excel WorkComing soon
The process
How the course works
01
Pay on Selar — get instant access
Complete payment on Selar. Your login credentials are automatically sent to your email within minutes. Your 12-month access clock starts from that moment.
02
Log in and start Module 1
Your dashboard unlocks Module 1 immediately. Watch the lessons, complete the reflection prompts, and post your discussion question in the WhatsApp community.
03
Pass the module quiz to unlock the next
After each module, you take a short quiz. Score 80% or above to unlock the next module. This keeps you accountable and ensures you're actually learning — not just watching.
04
Earn your module badge — share it publicly
Every completed module generates a shareable completion card. Post it on LinkedIn, Twitter, or Instagram to build your professional presence and attract recruiters while you're still learning.
05
Graduate with a portfolio & certificate
By Day 90, you'll have real projects on GitHub, a portfolio website live online, and a final course certificate — everything a recruiter needs to take you seriously.
After every module
Your shareable completion card
🏆
Module 2 Complete
Excel Mastery Unlocked!
You just completed the Microsoft Excel module of the 90 Days Data Analytics Training by Oluwatosin Babalola. Share this milestone — recruiters are watching.
Questions
Frequently asked
Do I need any prior experience or a degree? +
Absolutely not. This course was designed for complete beginners. If you've ever used a phone or a laptop, you have enough to start. Oluwatosin built this course specifically for people who felt lost in tech — because she was one of them.
How long do I have access after payment? +
You have 12 months of full access from the date of payment. Your login will remain active for that period. After 12 months, access expires — so make sure to complete the course and download any resources within that window.
What if I fail the module quiz? +
No problem — you can retake the quiz as many times as you need. The 80% pass mark is there to keep you honest and ensure you're really absorbing the material, not to block you. Review the lesson, retake the quiz, and move forward.
Will I get a certificate at the end? +
Yes. You'll receive a final course completion certificate that you can add to your LinkedIn profile and CV. You'll also earn a shareable digital badge after every module — so you can show progress publicly before you even finish.
What tools will I need and are they free? +
Most tools used in this course have free versions. Microsoft Excel (or Google Sheets as an alternative), SQL Server Express (free), Tableau Public (free), and Power BI Desktop (free). You won't need to buy any paid software to complete the course.
Is the WhatsApp community included in both plans? +
The WhatsApp community is included in the Self-Paced + Community plan (₦50,000) only. The self-paced plan (₦35,000) gives you full course access but without the community and live Q&A sessions.

Your data career starts
today, not someday

Join a growing community of Africans in the diaspora who stopped waiting and started building the career they want — with data.

Enroll Now — ₦50,000
12 months access · All 56 lessons · WhatsApp community · Module certificates