The Data Science & Analytics PEPC Department of St. Joseph’s Group of Institutions equips the students with the skills and knowledge to navigate the ever-growing world of data. Our interdisciplinary curriculum blends computer science, statistics, and business, giving the tools to transform raw data into actionable insights.

Through our program, the students will gain expertise in:

1. Data wrangling and management: Learn to collect, clean, and organize data from diverse sources.
2. Data analysis and visualization: Master the art of extracting trends, patterns, and meaning from data through statistical analysis and compelling visualizations.
3. Problem-solving with data: Develop the critical thinking skills to leverage data to solve real-world problems and make data-driven decisions.

• Software: Python/R
• Platform: Anaconda Navigator, Google Colab Envt.
• AutoML Tools: Knime, Rapidminer.
• Reporting Tools: PowerBI, QlikSense, QlikView, Tableau
• BigData Platforms: Hadoop, Spark

• Data manipulation and analysis (Python, R)
• Working with big data (Hadoop, Spark)
• Building machine learning models (AutoML tools)
• Data visualization (Reporting tools)

• IBM Certifications
• Microsoft certified: Power BI Data Analyst
• Oracle Business analytics certification
• Projects: Intelligent Processing and Computer Vision Solutions for various industrial applications.

• Data Analyst: Translate complex data into clear, actionable insights for businesses
• Power BI Developer: Design and develop interactive dashboards and reports crucial for data-driven decision making.
• Data Engineer: Build and manage the infrastructure that allows data to flow seamlessly across an organization.
• Data Architect: Design and implement robust data architectures that support an organization's long-term data strategy.