The Data Analytics Lab is a specialized facility designed to provide a dynamic and
immersive environment for exploring data-driven decision-making. It equips students and
researchers with the tools, techniques, and platforms necessary to analyze, visualize, and
interpret complex datasets, preparing them for careers in data science, business analytics, and
beyond.
1. Data Visualization in R
2. Data Analytics
3. Data Wrangling
4. Data Warehousing and Data Mining
5. Business Intelligence and Analytics
6. Big Data Technologies
Key Features
1. Cutting-Edge Infrastructure:
o High-performance computing systems to handle large datasets efficiently.
o Access to high-speed internet and cloud-based analytics tools.
2. Advanced Software Tools:
o Industry-standard software for data analysis, including Python, R and Power
BI.
o Big data platform like Apache Hadoop.
3. Data Sources and Libraries:
o Access to publicly available datasets, proprietary databases, and APIs for real-
world data collection.
o Integration with libraries such as Pandas, NumPy, and Scikit-learn for data
manipulation and machine learning.

4. Visualization and Reporting:
o Tools for creating compelling visualizations and dashboards to communicate
insights effectively.
o Hands-on experience in storytelling with data to inform decision-making.
5. Collaboration and Team Projects:
o Opportunities for group projects that tackle interdisciplinary problems using
analytics.
o Hackathons and competitions to develop innovative solutions to data
challenges.