Data, ICT & Analytics

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Curriculum Highlights

Who Is This For?

Meet Your Instructor

Goodhead Godspower

Goodhead Godspower

Data Analysis Lead Instructor

Learn Data Analysis from a professional who uses data to make real decisions, not just to pass exams.

Goodhead Godspower is a Mechanical Engineering graduate and hands-on data analyst with strong experience in data cleaning, analysis, visualization, and reporting across technical and project-driven environments. His training approach is practical, structured, and focused on turning raw data into clear, actionable insights.

He delivers data analysis training using globally accepted analytical tools, including:

  • SPSS – for statistical analysis, hypothesis testing, and research data interpretation
  • Microsoft Excel (Advanced) – for data cleaning, analysis, formulas, pivot tables, dashboards, and reporting
  • Microsoft Power BI – for data visualization, dashboards, and business intelligence reporting

His background in data-driven planning, performance tracking, and analytical reporting enables students to understand not just how to analyze data, but why the results matter.

What You’ll Master Learning From Him

By the end of this training, students will confidently know how to:

  • Write basic to advanced Excel formulas
  • Clean, organize, and prepare raw data for analysis
  • Build interactive Excel dashboards for reporting and decision-making
  • Perform pivot table analysis in Excel
  • Analyze research and survey data from start to finish
  • Conduct statistical analysis and hypothesis testing using SPSS
  • Create professional Power BI dashboards for data visualization and insights

Why Learn Data Analysis From Him?

Because this course is taught by someone who:

  • Uses Excel, SPSS, and dashboards to analyze real datasets
  • Understands how data supports research, business, and operations
  • Breaks complex analysis into clear, step-by-step methods
  • Focuses on practical skills employers actually want

You won’t just learn buttons and formulas—you’ll learn how to think like a data analyst.

📊 Analyze data with confidence
📈 Visualize insights that make sense
🧠 Build skills you can apply immediately

Course Summary

Duration

6-8 weeks

Schedule

6pm - 8pm, 3x weekly

Fee Range:

NGN 300,000 - 500,000

* Certification requires meeting 80% performance benchmark