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Bachelor of Science (BS) Degree in Data Science and Applications
Bachelor of Science (BS) Degree in Data Science and Applications
Faculty:
Dr. Andrew Thangaraj,
Professor, Electrical Engineering Department, IIT Madras
Course instructors:
Prashant Sharma (MSc Statistics, University of Delhi)
Prerna Gupta (MSc Statistics, University of Delhi)
Swathy S Sajeev (MSc Statistics, University of Delhi)
This course provides a comprehensive introduction to fundamental statistical concepts and techniques. Key topics covered include:
Descriptive Statistics: Understanding measures of central tendency (mean, median, mode) and measures of variability (range, variance, standard deviation).
Probability: Basics of probability theory, including independent and dependent events, and probability distributions.
Inferential Statistics: Concepts of sampling, hypothesis testing, confidence intervals, and significance levels.
Data Analysis: Techniques for data collection, organization, and graphical representation of data.
Correlation and Regression: Exploring relationships between variables and predicting outcomes.
The course is designed to equip students with the skills necessary to analyze data effectively and make informed decisions based on statistical evidence. It lays the groundwork for more advanced studies in statistics and related fields, making it an essential part of the curriculum for anyone pursuing a career in data science, research, or any field that relies on data-driven decision-making.
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