About the course
Data Analysis is a highly sought-after skill as businesses and organizations rely on data-driven decisions to grow and stay competitive.
In this course, you will master essential techniques such as data collection, cleaning, visualization, and interpretation using industry-standard tools.
By the end, you will be able to transform raw data into actionable insights that support smarter strategies and problem-solving.
Who this course is for?
- Beginners who want to start a career in data analysis with no prior experience.
- Professionals seeking to use data to improve decision-making in their roles.
- Entrepreneurs who want to track and analyze business performance effectively
- Students aiming to build practical, in-demand analytical skills for career growth
- Anyone interested in learning how to interpret data and present insights clearly
What you will learn
On completion of this course, you will be able to:
- Collect and organize data from different sources.
- Clean and prepare raw data for accurate analysis.
- Analyze datasets to identify patterns, trends, and insights.
- Create clear data visualizations using tools like Excel, Power BI, or Tableau.
- Use basic statistical methods to interpret and validate findings.
- Present data insights in reports and dashboards for decision-making.
- Apply data analysis techniques to real-world business problems.
Course outline
Overview of course segments
- Introduction to Data Analysis: Understand the role of data analysis and its importance in decision-making.
- Data Collection and Organization: Learn how to gather, store, and structure data from different sources.
- Data Cleaning and Preparation: Master techniques for handling missing values, errors, and formatting issues.
- Exploratory Data Analysis: Analyze datasets to identify key patterns, relationships, and trends.
- Data Visualization: Create charts, graphs, and dashboards using tools like Excel, Power BI, or Tableau.
- Statistical Analysis: Apply basic statistical concepts to validate findings and support insights.
- Reporting and Presentation: Learn how to summarize and present results clearly for stakeholders.
- Practical Project in Data Analysis: Work on a real-world dataset to apply all skills learned and build a portfolio-ready projec:
Tools and Requirements
- A laptop or desktop computer
- Microsoft Excel,Power BI.
- Google account for collaboration and assignments.
- Classes will hold via Google Meet.
- No prior experience required
Duration and Access
- Course duration: 10 Weeks
- Time Commitment: 5-6 hours weekly
- Class: Live classes
- Access: Access to class links, resources
Tuition
Secure your slot in class NOW!
- Full Tuition: ₦150,000
- installment option available upon registration
- Pay ₦90,000 (60%) on registration and balance ₦60,000 in week 2
- Live session schedule is activated after your first payment
Benefits of learning with us
Here’s why hundreds of students choose to build their tech careers with us.
- Learn in-demand, marketable skills from industry experts.
- Gain hands-on, project-based experience you can apply immediately.
- Earn a recognized certificate to validate your expertise.
- Enjoy 100% online, flexible learning with weekly live sessions.
- Build a strong portfolio through practical assignments and internship opportunities.
- Access exclusive remote and freelance job boards with career support.
- Get personalized mentorship, resume optimization, and interview guidance
- Join a vibrant global community with lifelong access to course updates and alumni referrals.
Ready to take the next step?
Join hundreds of students across Africa building their careers with POWA
Apply now
