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
Build complete data analytics and data science projects from raw data to final business insights.
Clean, process, and transform datasets using Python, NumPy, and Pandas.
Write SQL queries for business reporting, KPI tracking, funnel analysis, and cohort analysis.
Create ETL pipelines and perform data quality checks.
Design professional charts, dashboards, and visual stories using Matplotlib, Seaborn, Plotly, Power BI, and Tableau.
Perform EDA, hypothesis testing, A/B testing, and statistical interpretation.
Build basic machine learning models and evaluate them using proper metrics.
Use AI tools responsibly for coding, debugging, analysis, visualization, and documentation.
Create a GitHub-ready portfolio with notebooks, scripts, dashboards, reports, and capstone project.
Present a final data product through executive storytelling, dashboard walkthrough, and technical viva.
EXPERIENCE AT SOAI
SCHOLARSHIPS AVAILABLE AT SOAI
Job Professionals
Scholarships
Scholarships Available based on Interview Performance
ADMISSION POLICY
