How long is the Data Analysis course at LeadarX?

The Data Analysis course runs for 10 weeks. It covers Microsoft Excel, Power BI and SQL from beginner to job-ready level.

How much does the Data Analysis course cost in Nigeria?

The Real-Time Online class costs ₦65,000. The Self-Paced Online class costs ₦45,000. One-on-One training costs ₦295,000. Payment can be made in installments.

Do I get a certificate after completing the course?

Yes. Every student who completes the 10-week program and passes the capstone project receives an official LeadarX certificate with a unique verification code.

Do I need prior experience to take the Data Analysis course?

No prior experience is required. The course is designed for complete beginners and career changers.

Can I pay in installments?

Yes. You can start with the application fee of ₦5,000 to secure your spot and pay the balance in installments before each stage of the course.

Data Analysis Course in Nigeria | Excel, Power BI, SQL

01 Why Data Science

Nigeria's data economy is growing. Most companies don't have the analysts to match.

High demand, very low supply

Data analyst roles on LinkedIn Nigeria grew 340% in 2024. Less than 2% of applicants have practical SQL and Python skills employers can actually verify.

Remote work is real now

Over 60% of data roles at Nigerian companies now accept remote applicants. Your LeadarX certificate is publicly verifiable and recognized by hiring managers.

The salary premium is documented

Entry-level data analysts in Lagos earn 40% to 80% more than peers in non-technical roles with the same years of experience and education.

African data analyst reviewing stock charts and visualizations on a laptop

02 10-Week Curriculum

Every week builds on the last. Nothing is taught in isolation.

Live classes every Saturday. Recordings within 24 hours. Instructor office hours mid-week.

Week 01

Introduction to Data Analysis

What is Data Analysis? • Data Analytics Workflow • Types of Data • Data Analyst Roles & Career Paths • Real-world Business Problems • Data-Driven Decision Making • Introduction to Datasets • Mini Practical: Exploring a sales dataset and identifying business questions

Excel

01

Week 02

Excel for Data Analysis I

Excel Interface • Working with Tables • Importing Data from Excel & CSV • Introduction to Power Query • Data Types • Removing Errors & Duplicates • Replacing Values • Splitting & Merging Columns • Trimming & Cleaning Text • Filling Up & Down • Filtering & Sorting • Append & Merge Queries • Close & Load • Practical Data Cleaning Project

Microsoft Excel

02

Week 03

Excel for Data Analysis II

Pivot Tables • Pivot Charts • Slicers & Timelines • Conditional Formatting • Basic Excel Charts • Interactive Dashboard Design • KPI Cards • Data Storytelling • Dashboard Best Practices • Sales Dashboard Project

Microsoft Excel

03

Week 04

SQL for Data Analysis I

Database Fundamentals • Installing MySQL • Creating Databases & Tables • SELECT, FROM, WHERE • Comparison Operators • Logical Operators (AND, OR, NOT) • ORDER BY • LIMIT • Practical Query Exercises

MySQL

04

Week 05

SQL for Data Analysis II

Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) • GROUP BY • HAVING • CASE Statements • INNER JOIN • LEFT JOIN • RIGHT JOIN • Simple Business Analysis Queries • Mini SQL Project

MySQL

05

Week 06

Power BI I: Data Prep and Visualization

Power BI Interface • Connecting to Excel & CSV Files • Data Transformation with Power Query • Data Modeling Basics • Creating Charts, Cards, Maps, Slicers • Building Interactive Reports

Power BI Desktop

06

Week 07

Power BI II: Dashboard Development

Relationships • Basic DAX Measures • Calculated Columns • KPIs • Time Intelligence Basics • Dashboard Design Best Practices • Business Dashboard Project • Presentation of Insights

Power BI Desktop

07

Week 08

Introduction to Python for Data Analysis

Python Basics • Variables • Data Types • Lists • Dictionaries • Functions • Jupyter Notebook • Introduction to Pandas • Reading Excel & CSV Files • Basic Data Exploration

PythonJupyterPandas

08

Week 09

AI for Data Analysts + Python Data Analysis

Cleaning Data with Pandas • Filtering & Aggregation • Basic Visualization (Matplotlib) • Using ChatGPT & AI Tools for Excel, SQL, Python & Power BI • Writing Effective Prompts • AI Ethics • Automating Data Analysis Tasks

PythonChatGPTGamma AI

09

Week 10

Capstone Project and Portfolio

End-to-End Data Analysis Project • Data Cleaning • SQL Analysis • Dashboard Development • Business Insights • Presentation Skills • Building a Data Analyst Portfolio • Career Roadmap, CV & LinkedIn Tips

ExcelSQLPower BIPython

10

Lesson Delivery

Inside every Saturday session

Each live class runs the same 3-hour structure: a short recap, focused teaching, then most of the time spent with your hands on the tools.

10 minRecap of the previous lesson and Q&A

75 minNew concepts, live demonstration and guided practical

15 minBreak

60 minHands-on practical: you work independently while the instructor guides

20 minClasswork, challenge exercise, assignment and wrap-up

03 Outcomes

What you walk away with is measurable.

Not certificates that gather dust. Real, demonstrable proof of what you built and what you can do.

Real projects in your portfolio

Each project uses actual Nigerian business datasets, not toy examples built to look good on slides.

0

Industry tools on your CV

Excel, SQL, Power BI, Python, Pandas, ChatGPT. Things employers specifically search and test for in interviews.

1 cert

Verified, publicly checkable certificate

Every certificate has a unique code. Employers verify at leadarx.com/verify. It is not a PDF badge.

Analyst reviewing a business data dashboard

Colleagues collaborating on data analysis work

04 Student Stories

They started exactly where you are.

No prior coding background required. Consistency and showing up every Saturday is what makes the difference.

"I joined with zero Python experience. By Week 4 I was writing SQL joins I had only seen in job descriptions. I received a data analyst offer before the cohort even ended."

"Saturday classes are not lectures you watch passively. We work through problems live. My Power BI dashboard from Week 5 is now in production at my current company."

"I was a nurse. I switched to healthcare data analysis because of this program. The curriculum is intense but the mentorship makes it possible. Best investment I have made in myself."

05 Pricing

Choose your learning style. Start from ₦5,000.

Three ways to learn data science in Nigeria. One verified certificate at the end. Registration is open now and spots are filling fast.

Most Flexible

Self-Paced

Starts 21 February 2026

24/7, learn at your convenience

Online (Pre-recorded)

✓

Lifetime access to recorded lectures

✓

Dedicated class group

✓

Learn at your own pace

✓

Certificate on completion

✓

Instructor support on demand

Application Form₦5,000

Discount Price₦40,000₦30,000

Certificate Fee₦10,000

Total ₦45,000

Installment available. Save ₦3,000 if you pay in full.

Register Now

Registration in progress. Limited spots left.

The questions everyone asks before enrolling.

No experience required. The program starts from the very basics in Week 1 and builds through Excel and SQL before introducing Python in Week 8. If you can use a computer, you have more than enough background to begin.

Live classes are held every Saturday, typically 8am to 11am WAT. We recommend 8 to 10 hours per week total, including practice, assignments, and mid-week office hours. This is a serious program, not a passive course.

All classes are recorded and uploaded within 24 hours. You can catch up before the next session. That said, we strongly encourage attendance because live Q&A and peer work is where most learning happens.

Every LeadarX certificate has a unique verification code. Employers can verify your certificate at leadarx.com/verify. We work with Nigerian tech companies who request candidates directly from our cohort alumni network.

Fees are non-refundable. We offer deferral to the next cohort in cases of genuine emergencies.

Yes. The program is designed for working professionals. Classes are on Saturdays, recordings are available on demand, and assignments are self-paced. Over 70% of our graduates completed the program while employed full time.

The data skills
that get you hired.
In 10 weeks.