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Data Science

Department of Data Science

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Laboratories

DATA ANALYTICS LAB

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.

DATA ANALYTICS LAB

Practical training conducted for the following topics

1. Data Visualization in R

Hands-on training in creating insightful visualizations using R libraries like ggplot2, lattice, and plotly.

2. Data Analytics

Practical sessions on analyzing datasets using statistical methods, predictive modeling, and machine learning techniques.

3. Data Wrangling

Focused exercises on cleaning, transforming, and preparing raw data for analysis using tools like Python, R, or specialized libraries.

4. Data Warehousing and Data Mining

Practical implementation of ETL processes, building data warehouses, and mining data for patterns and insights.

5. Business Intelligence and Analytics

Training in BI tools like Tableau, Power BI, and QlikView to design dashboards and generate actionable insights.

6. Big Data Technologies

Hands-on sessions with big data frameworks such as Hadoop and Spark, focusing on distributed computing and large-scale data processing.

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