Statistical Inference
This 12-week intensive course provides a comprehensive exploration of the principles and applications of statistical inference and hypothesis testing. Designed for students, researchers, and professionals in statistics, data science, and related fields, the course blends theoretical rigor with practical problem-solving to develop a deep understanding of key statistical concepts.
The course begins with the foundations of estimation, including properties of estimators, optimal methods like maximum likelihood estimation, and techniques for constructing confidence intervals. It then transitions into hypothesis testing, covering simple and composite hypotheses, error types, power analysis, and advanced topics such as Neyman-Pearson theory, likelihood ratio tests, and sequential probability ratio tests (SPRT).
In addition to core topics, participants will delve into modern resampling techniques like bootstrap and jackknife methods, and decision theory, which introduces frameworks for making statistically sound decisions under uncertainty. The course concludes with real-world applications, multivariate techniques, and a thorough review to consolidate learning.
Course Features:
- Mode of Communication is English
- All the concepts are discussed with maximum precision
- Every topic is backed up with sufficient examples
- Validity: 1 Year from the date of purchase.
- Learn at your own pace
Instructor: Mr. Rahul
He is the founder of StatisticaHub which is an E-Education platform at global level. He holds a Bachelor’s degree in Statistics from Ramjas College, University of Delhi & Master’s in Statistics from IIT Kanpur.
He is Mathematics, Statistics and Data Science Faculty at StatisticaHub since 2020. He takes up sessions for High School level to Ph.D. level courses in his respective field.
He has mentored students studying at prestigious universities like University of Cambridge, University college London, The University of Edinburgh, LSE, King’s College, Limerick University, Bocconi University and many more. During the academic session (2023-24), he delivered 40+ courses at StatisticaHub.