The Statistical Analysis & Inference course provides a comprehensive exploration of fundamental principles and advanced techniques in statistical analysis. Students delve into descriptive statistics, probability theory, and distributions, gaining insights into key concepts like central tendency, dispersion, and sampling distributions. Through rigorous examination of estimation methods and hypothesis testing procedures, learners develop proficiency in making informed statistical inferences. The course covers diverse topics including analysis of variance, regression analysis, and time series forecasting, equipping students with the analytical tools necessary to interpret data and draw meaningful conclusions in various fields.

# Learn Statistical Analysis & Inference with Researcher from IIT Bombay

Upon completing the Statistical Analysis & Inference course, students will achieve the following outcomes:

**Understanding of Fundamental Concepts:**Gain a solid understanding of fundamental statistical concepts including descriptive statistics, probability theory, and probability distributions.**Proficiency in Statistical Inference:**Develop proficiency in statistical inference techniques such as estimation methods, hypothesis testing, and analysis of variance.**Application of Regression Analysis:**Acquire skills in regression analysis including simple linear regression, multiple linear regression, and logistic regression for modeling relationships among variables.**Competence in Time Series Analysis:**Learn techniques for time series analysis and forecasting to make predictions based on historical data patterns.**Critical Thinking and Data Interpretation:**Enhance critical thinking abilities and interpretative skills necessary to analyze complex datasets and draw meaningful conclusions.**Practical Application:**Apply statistical methods and techniques to real-world scenarios across various domains including business, economics, social sciences, and healthcare.**Problem-Solving Skills:**Develop problem-solving skills by tackling statistical challenges and implementing appropriate statistical methodologies to address research questions or business problems effectively.