Data Science
A data-focused program covering collection, cleaning, analysis, visualization and decision-making with practical datasets.
Designed as a guided journey: concepts, practice, project work and enquiry support.
Learning architecture
What you will learn.
Each program is structured to move from fundamentals to application, then into practical implementation and project presentation.
Advanced Curriculum
- Data types, data collection and cleaning
- Python data analysis workflow
- Visualization and dashboard thinking
- Statistics for interpretation and decision-making
- Business insights, storytelling and report preparation
Practical Sessions
- Clean and prepare raw datasets
- Create charts and insight dashboards
- Perform exploratory data analysis
- Write a data-backed decision report
Project Outcomes
- Sales insight dashboard
- Student performance analysis
- Customer behavior report
- Research dataset analysis
After completing this, you will be able to
- Convert raw data into useful insights
- Build analysis workflows for business and research
- Present findings clearly and professionally
Need guidance?
Know the details before you join.
For session booking, duration, mode, fees, internship details, certification and project guidance, contact SCIENWAVE directly.