Statistical Techniques for Survey Data equips participants with the analytical skills necessary to effectively interpret and manage survey data. This course emphasizes practical application through project-based learning, allowing participants to engage with real-world datasets and develop robust statistical models. By the end of the program, learners will have a comprehensive understanding of various statistical methodologies and their applications in survey contexts, enhancing their decision-making capabilities in professional scenarios.
Participants will explore a range of statistical techniques, including descriptive statistics, inferential statistics, and multivariate analysis. The course culminates in a final project where learners will apply their acquired skills to analyze a dataset of their choice, presenting their findings in a format suitable for publication in Cademix Magazine. This hands-on approach not only reinforces theoretical knowledge but also fosters skills in data visualization and interpretation, preparing graduates for immediate application in their careers.
Introduction to Survey Data and its Importance
Data Collection Techniques and Survey Design
Descriptive Statistics: Measures of Central Tendency and Variability
Inferential Statistics: Hypothesis Testing and Confidence Intervals
Regression Analysis: Simple and Multiple Regression
ANOVA: Analysis of Variance for Comparing Groups
Non-parametric Methods for Survey Data
Factor Analysis: Identifying Underlying Variables
Data Visualization Techniques for Effective Communication
Final Project: Comprehensive Analysis and Presentation of Survey Data