Introduction to Data Science (BCAMJ-402)
Program: Bachelor of Computer Applications(Hons)
Category: Professional Core Course
Semester: 4
Credits: 4
L-T-P: 4- 0- 0
Description
The Introduction to Data Science syllabus covers the basics of data science, including data exploration, cleaning, and visualization. It introduces key statistical concepts and machine learning algorithms for data analysis. Programming in Python or R with libraries like Pandas and Scikit-learn is emphasized. Big data tools like Hadoop and Spark are explored for handling large datasets. The course also addresses ethics in data science and includes hands-on projects to apply the skills learned.
Instructor

Ms. Amita Khanna

Assistant Professor
Department Of Computer Applications
Course Outcomes
  • Describe key concepts, processes and significance of data science.
  • Explain and identify sources, collect, clean, preprocess data, and perform basic data exploration.
  • Analyze data using statistical measures and visualizations in Excel and Python.
  • Explain the fundamental concepts and definitions of machine learning
  • Apply data science tools and algorithms to solve practical problems
Resources
Course Handout Lesson Plan Syllabus
Evaluation Scheme
Assignment 10
Attendance 10
Sessional 20
Total Internal 40
Total External 60
Overall Total 100