STATISTICS 2 FOR DATA SCIENCE

Statistics is a fundamental field that encompasses the science of collecting, analyzing, and interpreting data. It plays a crucial role in data science as it enables data scientists to derive meaningful insights from the data they work with. Some key concepts in statistics include probability, distribution, hypotheses, and the Central Limit Theorem (CLT). Probability measures the likelihood of an event occurring, while distribution refers to the pattern of values in a dataset. Hypothesis are testable statements, and the CLT states that the distribution of sample means approaches a normal distribution as sample size increases.  

Statistics has broad applications across diverse fields such as business, economics, engineering, medicine, and social sciences. It serves as the foundation for making informed decisions based on data. In a statistics course, students typically learn about different types of data, probability distributions, statistical inference, hypothesis testing, regression analysis, and more.

At IIT Madras, the BS degree program includes instruction in statistics, with Professor Andrew Thangaraj as one of the faculty members. It's great to see how statistics is being integrated into various educational programs to equip students with essential data analysis skills.

Professor Andrew Thangaraj is an inspiring and dedicated faculty member at IIT Madras. As a faculty of statistics in the foundation level of the BS in Data Science program, he plays a crucial role in shaping the learning experience of students. His passion for statistics and data science is evident through his teaching and mentorship. His commitment to nurturing students' understanding of statistical concepts and their practical applications is truly inspiring. Professor Thangaraj's expertise and guidance undoubtedly contribute to the holistic development of students pursuing a career in data science. His role in laying the groundwork for students to develop a solid foundation in statistics is invaluable. Through his mentorship, students are not only learning the essential concepts of statistics but also gaining insights into how statistics can be applied across various domains, fostering a deeper appreciation for the field. Professor Andrew Thangaraj serves as a role model for students, inspiring them to delve deeper into the world of statistics and data science. His dedication to equipping the next generation of data scientists with the knowledge and skills they need is truly commendable.