Data science is an interdisciplinary field that integrates domain expertise, computer science, and statistical methods to extract meaningful insights from data. 

Data analysis is important within specific Sciences, business, or engineering contexts. The ACM and IEEE's curriculum emphasizes:

• Foundational knowledge in programming, data structures, algorithms, and statistics.

• Practical applications of data management, machine learning, and data visualization.

• Ethical considerations in data privacy, security, and societal impacts.

• Contextual learning, where students apply data science skills to specific domains​

Reference

• Data

• Database

•  Database System

•  Database Management System (DBMS) 

• Data Mining

• CRISP-DM model

• Data Science, Definitions of Data Science ,Process of Data Science 

  • • •  Problem Definition,

      •  Data Collection

      •  Data Cleaning and Preprocessing

      •  Exploratory Data Analysis (EDA)

      •  Feature Engineering

      • Model Building

      • Model Evaluation

      • Deployment Communication and Visualization

      • Iteration and Optimization 

• Machine Learning

• Understanding Plots

• Some Problems

1. Programming Assignment { R/ Python ] From the Beginning of Semester - To be Submitted 

2.  LAB Assignments Reference

3.  Assignment Questions :- November /December 2024

4. Case Study

5. Test - MCQ

6. Sample Video Submitted: 👉 Priyanshi Soni  

Assignment Submission Link ( Data Science 2024 )