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Applied Statistical Methods and Causal Analysis

Name: Applied Statistical Methods and Causal Analysis
Price: 2640 SGD

Training Provider: Singapore University of Social Sciences

Course Reference: TGS-2024050606

S$2,640

About This Course

Construct testable hypotheses from available data
Test various hypotheses with appropriate statistical tests
Evaluate the suitability of various empirical approaches for different business problems
Assess the advantages and pitfalls of the various empirical approaches
Design experiments, research to understand the relationship between variables of interest
Construct a programming workflow to execute an empirical method
Design an empirical method, interpret and deploy the results of the empirical analysis
Demonstrate understanding of statistical inference and causal analysis between two or more variables

What You'll Learn

ANL553 Applied Statistical Methods and Causal Analysis introduces the concept of statistical inference, empirical methods and causal analyses that are hands-on and practitioner focused. The course will provide an understanding of the fundamental principles of various empirical methods for statistical inference and causal analysis. The course will begin by covering basic concepts in statistics and programming. It will focus on common confounding challenges of causal analysis, and how classical empirical approaches such as linear regression and panel data regression may address them. It will also cover modern approaches for causal analysis such as instrumental variable estimation and difference-in-differences estimation. The course will focus on equipping students with the sound intuition and practical research skills in conducting statistical and causal analysis to address relevant business problems.