Advanced Certificate Course in Data Analytics
Level: Intermediate (Designed for beginners with basic knowledge of Mathematics, or Statistics)
Method: Part-Time
Duration: 03 months
Delivery: Hybrid Mode (Physical/Online)
Commencement:
02nd February, 2025
Entry Requirements
Completion of G.C.E. Advanced Level or equivalent.
Basic knowledge of IT or mathematics is recommended.
Program Structure
Core Modules
- Introduction to Data Analytics (03 Hours)
- Definition, scope, and importance.
- Overview of data types and basic terminologies.
- Data Collection and Preparation (06 Hours)
- Data sources and collection techniques.
- Data cleaning, integration, and preparation using tools like Excel and SPSS.
- Statistical Analysis and Decision-Making (24 Hours)
- Descriptive and inferential statistics.
- Hypothesis testing and predictive analytics.
- Statistical Modeling
- Data Visualization (06 Hours)
- Principles of effective visualization.
- Hands-on training with Power BI.
- Data Analytics with Statistical Software. (03 Hours)
- Business Applications of Data Analytics (03 Hours)
- Case studies in marketing, finance, and operations analytics.
Assessment
Continuous Assessment (70%)
- Two Assignments: Real-world case studies.
- One Quiz and a mini project.
Final Examination (30%)
- A written test assessing theoretical and practical understanding.
Certification
Awarded by the institution upon successfully completing coursework, projects, and exams.
