An Initiative of Ministry of Education under the National Mission on Education through ICT

Introductory Data Science Lab

Broad Areas of Virtual Labs
Computer Science & Engineering
AMRITA VISHWA VIDYAPEETHAM
Introduction

Data Science is recognized as an emerging subject as per AICTE (https://www.aicteindia.org/sites/default/files/UG_Emerging.pdf), and the Data Science Lab is a critical component of the same. The proposed lab focuses on fundamental and applied concepts of Data Science and Machine Learning, aligned with the AICTE UG CSE 2022 Curriculum. The lab emphasizes hands-on learning through experiments covering data handling, visualization, preprocessing, machine learning algorithms, model evaluation, and ethical considerations, thereby bridging the gap between theoretical knowledge and practical application.

Objective

The objective of this lab is to provide students with a strong foundational understanding of Data Science concepts and techniques. The lab covers numerical computing, data manipulation, data visualization, exploratory data analysis, data preprocessing, supervised and unsupervised machine learning algorithms, model evaluation, validation techniques, and ethical aspects of data science. This lab enables students to gain practical exposure to real-world datasets and develop the ability to analyze data, build predictive models, and interpret results effectively.

Target Audience

  • UG
    • 3rd Year
  • PG

Course Alignment

The syllabi of this lab aligns to the following universities in India.

  1. IIT Kanpur – CS771A: Introduction to Machine Learning- https://cse.iitk.ac.in/pages/CS771.html
  2. BITS Pilani – CSF320: Foundation of Data Science - https://nitinvinayak.github.io/public/pdfs/CS_F320_2266.pdf
  3. VIT – CBS3006: Machine Learning - https://vit.ac.in/sites/default/files/scope/B.Tech_CSE_BS_2021_2022.pdf
  4. IIT Guwahati – CS361: Machine Learning - https://www.iitg.ac.in/acad/CourseStructure/Btech2018/CS/CS361.html

Allocated University

No university information available.

Reference Books

No reference books available.

Lab Contact Person

Pavithra S P,
Project Lead,
VALUE
9496395055