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Transform Raw Data into Clear Business Insights
The Data Science / Analytics program is designed for learners who want to collect, clean, analyze and present data for better decision-making.
Learners build practical skills with spreadsheets, databases, visualization tools, statistics and Python. Through guided projects, they learn how to turn raw information into useful reports, dashboards and business insights.
The program also introduces responsible AI-assisted analysis while emphasizing data quality, privacy, verification and human judgment.
Core Areas Covered
- Introduction to data science and analytics
- Data collection, organization and quality
- Microsoft Excel for analysis and reporting
- Formulas, pivot tables and analytical functions
- Database and SQL fundamentals
- Statistics for practical decision-making
- Data cleaning and preparation
- Power BI for interactive dashboards
- Data visualization and storytelling
- Python fundamentals for data analysis
- Business reporting and presentation
- Portfolio projects using real-world datasets
AI Direction
AI-Assisted Data Analysis
Learners use AI as a support tool while maintaining accuracy, privacy and clear analytical reasoning.
Learners will understand how to use AI tools for:
- Explaining formulas, queries and analytical concepts
- Supporting data cleaning and transformation
- Generating ideas for charts and dashboards
- Drafting summaries of verified findings
- Supporting Python and SQL troubleshooting
- Identifying patterns that require further investigation
- Documenting analytical processes and assumptions
The goal is to help learners work more accurately, efficiently and confidently while applying responsible professional judgment.
Skills You Will Gain
By the end of the program, learners will be able to:
- Organize and clean datasets for analysis
- Use Excel confidently for reports and calculations
- Write basic SQL queries to retrieve information
- Create interactive dashboards with Power BI
- Apply foundational statistics to practical questions
- Use Python for introductory data analysis
- Present findings through clear visual stories
- Build a portfolio of data analysis projects
Career Opportunities
Where Can You Work?
After completing the Data Science / Analytics program, learners can work or grow in roles such as:
- Junior Data Analyst
- Business Intelligence Assistant
- Reporting Officer
- Monitoring and Evaluation Assistant
- Research Data Assistant
- Operations Analyst Assistant
- Database Support Assistant
- Freelance Data and Dashboard Specialist
Who Should Enroll?
This program is suitable for:
- School leavers with an interest in numbers and technology
- Students and graduates seeking analytical skills
- Office workers who prepare reports
- Business owners who want data-driven decisions
- Researchers and NGO staff working with data
- Beginners pursuing a career in data analytics
