PQPlusUniversal industry applicability
Finance, logistics, healthcare, retail, and tech all require data analysts.
Courses / Data Analytics
12 weeks career track
Turn messy data into strategic business decisions.
Every modern business generates vast data but struggles to extract meaning. Master SQL, Excel, Power BI, and Python to become the high-value analyst every executive team relies on.
Duration12 weeks
FormatLagos / Abuja / Live Virtual
PrerequisiteBasic familiarity with spreadsheets
CertificationPQPlus Certified Data & BI Analyst
Why choose Data Analytics?
Build a high-impact data career.
High earning potential
Data professionals command strong local and international compensation.
Direct executive impact
Reports and dashboards influence high-level commercial strategy.
Highly transferable skill
Data logic bridges into engineering, machine learning, and business strategy.
What you will learn
Complete curriculum breakdown.
Each module builds practical capability and advances your portfolio.
Data foundations & advanced spreadsheets
Data cleaning, Excel functions, pivot tables, logical formulas, and automated analytical models.
Relational databases & SQL
Database concepts, filtering, grouping, joins, subqueries, window functions, and views.
Data visualization & Power BI
Data connections, Power Query, DAX, modeling, and interactive corporate dashboards.
Python for data analysis
Python fundamentals, Pandas, NumPy, Matplotlib, Seaborn, and exploratory analysis.
Capstone projects
Financial performance, customer churn, e-commerce sales optimization, and a GitHub data portfolio.
Tools you will master
Learn with the tools used in real teams.
Your practical toolkit includes:
Microsoft Excel
SQL (PostgreSQL / MySQL)
Power BI & Tableau
Python & Jupyter
Apply for Data Analytics
Course logistics & tuition
Choose the format that works for you.
Attend physical classes in Maryland, Lagos or Abuja, or join live virtual sessions with recorded access. Flexible payment options are available in up to 3 installments.