Introduction to Data Science | Data Mining
IC 1109 | IT - 501D Introduction to Data Science and R- Language
Embedded Files
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
Larose, D. T. (2015). Data mining and predictive analytics. John Wiley & Sons.
Larose, D. T., & Larose, C. D. (2014). Discovering knowledge in data: an introduction to data mining (Vol. 4). John Wiley & Sons.
Larose, D. T. (2005). An introduction to data mining. Introduction to Data Mining.
Assignment and Internal Assessment
Programming Assignment-R/Python ( Deadline: Regular Students: 6 December 2023 )
Activity (Additional Topics: Web Search, Big Data, Machine Learning )
Classroom Material and Resources and Cheat Sheet compiled by Maverick Lin (http://mavericklin.com)
Programming Assignment { R/ Python ] From the Beginning of Semester - To be Submitted
LAB Assignments Reference
Sample Video Submitted: 👉 Priyanshi Soni
Assignment Submission Link ( Data Science 2024 )
Page updated
Google Sites
Report abuse