Course Code: CA-522T[B2] Course Title - Foundational Data Science Total Credit: 2 Marks: 50 (UA:40 & IA: 10) Periods: 3 per week (50 Minutes each).
Understand the Problem
The question refers to a course outline for a foundational data science course, detailing its objectives, learning outcomes, and units covered. It aims to provide a structured overview of the curriculum and associated topics.
Answer
2-credit course, 50 marks, no prerequisites, focuses on data science lifecycle.
The course 'Foundational Data Science' (Code: CA-522T[B2]) offers 2 credits, with a total of 50 marks (40 UA, 10 IA). It has no prerequisites and includes units on data collection, cleaning, exploratory data analysis, and statistical analysis.
Answer for screen readers
The course 'Foundational Data Science' (Code: CA-522T[B2]) offers 2 credits, with a total of 50 marks (40 UA, 10 IA). It has no prerequisites and includes units on data collection, cleaning, exploratory data analysis, and statistical analysis.
More Information
The course covers essential skills in Python for data manipulation, exploratory data analysis, and statistical methods for data-driven decisions.
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