
Training Course
Data Analysis
Course Details
Data Analysis Data Analysis focuses on collecting, organizing, interpreting, and transforming raw data into meaningful insights that support decision-making in organizations. In...
Course Outline
5 total
Duration
4 Months
Classes (Physical & Online)
2 Days/Weeks
Data Analysis
Data Analysis focuses on collecting, organizing, interpreting, and transforming raw data into meaningful insights that support decision-making in organizations. In today’s digital world, businesses generate massive amounts of data daily from transactional databases and system logs to social media interactions and customer behavior data.
Since data is one of the most valuable assets of any organization, the main challenge is not just collecting it, but understanding and using it effectively to drive growth, improve performance, and support strategic decisions. This is where data analysis becomes essential, helping organizations turn complex data into clear, actionable insights through storytelling and visualization.
This course introduces you to modern data trends and teaches how to solve real business problems using data. You will learn how to combine statistical methods, analytical tools, and visualization techniques to deliver value-driven insights using tools like Microsoft Excel, SQL, Power BI, Tableau, and SPSS.
What You Will Learn
- Using SQL for Data Analysis
- Basics of Python Programming
- Data Analysis with Microsoft Excel
- Applying Statistics in Data Analysis with Python
- Business Intelligence and Reporting with Power BI
Career opportunities include:
- Business Intelligence Analyst
- Data Analyst
- Financial Analyst
- Healthcare Data Analyst
- Entertainment and Media Analyst
- Sharing Economy Data Specialist
- Marketing and Business Analyst
- Research Analyst
- Reporting and Insights Analyst
- Freelancing / Remote Data Analyst
Salary Range
- $34,000 to $64,000 per year
- ₦1,000,000 to ₦1,500,000 per year
Enrollment
Start Data Analysis with a clear course outline, guided classes, and practical support.
Contact the team for the next cohort date, class schedule, package options, and payment guidance.



