ABOUT COURSE
Data Science Xcellerator Program is a 21-day intensive, milestone-based bootcamp designed to convert students into practical, project-ready data professionals.
This course goes beyond theory. Students work on real datasets, solve business problems, build dashboards, write SQL queries, create machine learning models, use AI-based data science tools, and publish their work on GitHub.
The program follows a strong practical structure: every few days, students complete a measurable milestone such as a cleaned dataset, SQL case study, ETL pipeline, EDA report, predictive model, BI dashboard, portfolio repository, and final capstone presentation.
Students will also learn how to use modern AI tools responsibly for coding support, data analysis, dashboard explanation, documentation, and business insight generation.
This course is ideal for students, beginners, graduates, professionals, and aspiring analysts who want a strong foundation in Data Analytics, Data Science, AI tools, and portfolio-based learning.
BY THE END OF THIS COURSE YOU WILL BE ABLE TO
By the end of this program, you will be able to:
Understand the fundamentals of VR, AR, MR and XR.
Set up a Unity project for VR development.
Configure XR Plug-in Management and OpenXR.
Work with the XR Interaction Toolkit and XR Origin.
Build a basic interactive VR environment in Unity.
Implement VR locomotion, teleportation and snap turning.
Create and configure grabbable VR objects.
Build event-based interactions such as interactive buttons and doors.
Create a functional VR gun and shooting system.
Implement bullet spawning and collision detection.
Create correct and incorrect targets with scoring logic.
Build a random target spawning system.
Add a countdown timer and round-management system.
Display live scores and final game results.
Debug common Unity XR interaction, collider and physics issues.
Build a complete beginner-level Unity VR shooting game from start to finish.
EXPERIENCE AT SOAI
SCHOLARSHIPS AVAILABLE AT SOAI
Job Professionals
Scholarships
Scholarships Available based on Interview Performance
ADMISSION POLICY
