Turn Raw Data Into Decisions People
Actually Use
Learn Excel, SQL and Power BI to clean, analyse and
visualise data like a professional analyst.
Is this course for you?
Built for people like you
Turn data into insight — clean, analyse and visualise data to help organisations make better decisions.
This course is for you if:
- You want a practical, in-demand skill set for a data analyst role
- You work with spreadsheets and want to move beyond basic formulas
- You want a portfolio of real dashboards to show employers
Not sure this is the one? If you're looking for machine learning/data science roles specifically, this is a strong first step, but not a data-science-only course.
This course is for you if:
- You want a practical, in-demand skill set for a data analyst role
- You work with spreadsheets and want to move beyond basic formulas
- You want a portfolio of real dashboards to show employers
Not sure this is the one? If you're looking for machine learning/data science roles specifically, this is a strong first step, but not a data-science-only course.
Students will learn to
Clean and prepare messy real-world datasets
Write SQL queries to extract and analyse data
Build interactive dashboards in Power BI
Apply core statistics to support business decisions
Communicate data insights clearly to non-technical audiences
Build a 3-project portfolio for job applications
Course Content
This curriculum blends theory with hands-on, real-world practice — click a module to see what's inside.
- The analytics lifecycle & analyst role
- Excel: formulas, lookups, pivot tables
- Descriptive statistics (mean, median, distribution)
- Charting principles for clarity
- SQL fundamentals: SELECT, WHERE, ORDER BY
- Aggregations & GROUP BY / HAVING
- JOINs across multiple tables
- Subqueries & common business queries
- Common data quality problems (duplicates, nulls, formats)
- Power Query: transforming and merging data
- Data types, normalisation basics
- Building a simple star schema
- Power BI interface & data model view
- Intro to DAX: measures & calculated columns
- Visuals: bar, line, matrix, cards, slicers
- Dashboard layout & UX best practice
- Data storytelling frameworks
- Publishing to Power BI Service, sharing & permissions
- Presenting insights to non-technical stakeholders
- Capstone build, review & certification submission
Requirements
- None. Basic computer literacy and comfort using a web browser.
- Format: Online, self-paced with live weekly cohort sessions
- Tools & software: ChatGPT / Claude / Gemini, Microsoft Copilot, Canva AI, Google Workspace AI features, Notion AI
Talk to a SkillRise Student Advisor
Hotline Phone
+234 9113 218 837
Whatsapp
+234 9113 218 837
Download the curriculum and course descriptions
Course Delivery
Hybrid Class
One-on-one class
Class Time
Physical - Weekends Online
Course Lenght
6 - 8 weeks
Tuition
₦120,000
Ready to start?
SkillRise Certificate in Data Analytics + Power BI, awarded on completion of all modules, project checkpoints and the capstone dashboard.
Testimonial
Alumni Feedback & Reviews
"YouTube kept me in 'tutorial hell,' but SkillRise forced me to build a live project. By graduation, I had a portfolio—not just a certificate—and landed a freelance gig three weeks later."
"SkillRise designed a custom executive track using our company's actual sales data. The ROI was immediate, my team is now generating reports in half the time."
"We worked on real datasets—like Lagos traffic patterns. The project defense sessions taught me to explain findings clearly, which is exactly what I do now at a top consulting firm."
"I was skeptical about remote learning, but the support is unmatched. Between live sessions and the Discord group, I felt more connected here than I did in my university lecture hall."
(Abuja)
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