Overview
This course introduces students to the fundamentals of data visualization and equips them with hands-on skills in using two leading BI tools Tableau and Power BI. Students will learn how to prepare, analyze, and present data visually to uncover insights and support decision-making. The course also covers dashboard development, tool comparison, and real-world applications through project-based learning.
Cloud_Data_Engineering_with_AWS_NV61004.pdf
Objectives of Event
The "Cloud Data Engineering with AWS" syllabus is designed to equip undergraduate students with the skills necessary to build, manage, and optimize data pipelines in the cloud using Amazon Web Services (AWS). The course begins with an introduction to cloud computing and AWS fundamentals, covering core services like EC2, S3, IAM, and billing tools. Students then delve into data storage solutions, learning to utilize Amazon S3, RDS, DynamoDB, and Redshift for scalable and secure data management. The curriculum progresses to data processing and ETL operations using AWS Glue, enabling students to automate data transformations and integrate diverse data sources. Real-time data streaming is explored through AWS Kinesis, teaching students to handle live data feeds and integrate them with other AWS services. The course culminates in designing end-to-end data pipelines, emphasizing orchestration, monitoring, and best practices for security and cost optimization.
Convener Details
Prof. Geetha, Dean, SSCSE
Dr. Rajneesh Kumar Singh, HOD, CSA
Co-ordinators:
Dr. Archana Sharma
