Pre-Requisite(s): Basic Probability
Course Type: Lab
Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
| Course Name | Foundations of Data Science |
Pre-Requisite(s): Basic Probability
Course Type: Lab
Course Objectives
Course Outcomes
CO1: Understand the statistical foundations of data science.
CO2: Apply pre-processing techniques over raw data, conduct exploratory data analysis, create insightful visualizations, and identify patterns to enable further analysis
CO3: Identify machine learning algorithms for prediction/classification and to derive insights
CO4: Analyze the degree of certainty of predictions using statistical test and models.
CO5: Explore the statistical foundations of time series, and employ basic ARIMA models for time series prediction.
CO-PO Mapping
| CO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 |
| CO1 | 1 | |||||
| CO2 | 1 | 1 | 1 | 3 | ||
| CO3 | 3 | 1 | 1 | 2 | 3 | |
| CO4 | 3 | 1 | 1 | 2 | 2 | |
| CO5 | 3 | 3 | 1 | 3 | 3 |
DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.