This course introduces the fundamental concepts, techniques, and tools used in data science.
Students will learn how to collect, clean, analyze, and visualize data using various
programming languages and libraries. The course will cover topics such as data manipulation,
exploratory data analysis, statistical modeling, machine learning, and data visualization.
CO1: Organize data using statistical methods to draw meaningful conclusions.
CO2: 2 Use machine learning algorithms to real-world datasets for problem solving.
CO3: Identify data characteristics and patterns through exploratory data analysis (EDA).
CO4: 4 Demonstrate proficiency to collect, clean, and preprocess data using Python and relevant libraries.
- Teacher: Dr ELIZABETH M J