The Department of Computer Science and Engineering (Data Science) has modern, industry-aligned labs that provide students with real hands-on experience using the tools, platforms, and technologies widely adopted in data-driven industries. These labs are designed to help students learn by doing—through data exploration, experiments, projects, and research— while building strong foundations and advanced skills in analytics, machine learning, and real-world data processing.

The department hosts the following laboratories:

Data Warehousing and Data Mining Lab

The Data Warehousing and Data Mining Lab offers a practical environment for students to learn how to organize large datasets, build data warehouses, and apply data mining techniques to extract meaningful insights. Students gain hands-on experience in ETL processes, OLAP operations, pattern discovery, classification, clustering, and predictive analytics using modern tools and platforms. This lab supports data-driven learning and prepares students for real-world analytical challenges in Data Science.

Data Visualization Lab

The Data Visualization Using Power BI Lab enables students to learn data visualization and business intelligence through hands-on practice with real datasets. It helps learners build interactive dashboards, create meaningful reports, and perform data analysis using Power BI’s powerful visualization, modeling, and analytics features. The lab strengthens data storytelling skills and prepares students for industry-ready BI and analytics roles.

Data Science Lab

The Data Science Lab provides a practical environment for students to work with real-world data using modern analytical tools and technologies. It supports hands-on learning in data preprocessing, visualization, machine learning, and predictive analytics. This lab helps students develop problem-solving skills, build intelligent models, and gain industry-ready experience in end-to-end data science workflows.

Predictive Analytics Lab

The Predictive Analytics Lab provides a hands-on environment where students learn to build models that forecast future outcomes using statistical methods and machine learning techniques. The lab focuses on data preprocessing, feature engineering, model development, evaluation, and deployment. It equips learners with practical skills to analyze trends, make data-driven predictions, and solve real-world business and engineering problems.

Business Intelligence Lab

The Business Intelligence Lab provides a practical platform for students to analyze data, generate insights, and support decision-making using modern BI tools. It focuses on data integration, reporting, dashboard creation, and performance analysis. The lab helps learners develop strong analytical and visualization skills essential for business strategy and data-driven operations.