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Statistics 1 introduces students to the fundamental concepts of statistics, focusing on both descriptive and inferential statistics. The course covers data classification, scales of measurement, and the distinction between population and sample. Students learn to organize data using frequency distributions, histograms, and other graphical methods. The curriculum explores measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation), providing a solid foundation for analyzing and interpreting data.
As part of the Data Science program at IIT Madras, this 12-week course is designed to make statistics not just understandable, but also exciting and applicable to real-world data science problems. You'll dive into the world of data, learning how to create, download, manipulate, and analyze datasets. The course also covers probability, random variables, and distributions, offering hands-on experience with essential statistical tools and techniques.
Data Analysis: Develop skills to frame data-driven questions, describe data with numerical summaries and visualizations, and derive insights from large datasets.
Probability: Master the application of probability laws to estimate likelihoods and translate real-world scenarios into probability models.
Distributions: Understand and apply the characteristics of Binomial and Normal distributions.
Statistical Measures: Calculate expectations and variances of random variables, and describe data using measures of central tendency and dispersion.
Weekly Online Assignments: Participate in interactive assignments that solidify your learning and provide practical experience.
In-Person Quizzes: Evaluate your progress and understanding with regular quizzes.
End Term Exam: Showcase your cumulative knowledge in a comprehensive final exam.
Course Instructor: Professor Usha Mohan, with a Ph.D. from the Indian Statistical Institute, will guide you through this statistical journey. Her extensive experience includes roles as a researcher at ISB Hyderabad and a lecturer at the University of Hyderabad. At IIT Madras, she teaches courses in data analytics, operations research, and supply chain management, focusing her research on quantitative models in operations management and combinatorial optimization.
Teaching Assistants (TAs): Our dedicated TAs, experienced in data science and statistics, are committed to supporting our learning journey and ensuring a smooth and enjoyable experience.
Interactive Learning: Work with real-world datasets to apply statistical methods and uncover valuable insights.
Expert Guidance: Benefit from the expertise of Professor Usha Mohan and receive support from knowledgeable TAs.
Practical Applications: Discover how statistical techniques are used across various industries and research fields, making our learning relevant and stimulating.
Community: Join a vibrant community of learners who share a passion for data science and are eager to collaborate and share knowledge.
Embark on this enriching journey with me and unlock the transformative power of statistics in data science!