Executive Development Programme Survey Analysis for Decision Making
-- ViewingNowThe Executive Development Programme Survey Analysis for Decision Making certificate course is a critical program designed to enhance decision-making skills in the modern business world. This course is essential due to the increasing demand for data-driven decision making in various industries.
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⢠Survey Design: Understanding the fundamentals of creating effective surveys, including question types, response scales, and survey layout.
⢠Data Collection Methods: Exploring various data collection methods, such as online surveys, paper surveys, and in-person interviews, and their impact on response rates and data quality.
⢠Data Cleaning: Techniques for cleaning and preparing survey data for analysis, including handling missing data, outliers, and incorrect entries.
⢠Descriptive Statistics: Overview of key descriptive statistics, such as mean, median, mode, variance, and standard deviation, and their application in survey analysis.
⢠Inferential Statistics: Introduction to inferential statistics, including hypothesis testing, confidence intervals, and statistical significance.
⢠Data Visualization: Techniques for visualizing survey data, including bar charts, line graphs, and scatter plots, to facilitate data exploration and communication.
⢠Correlation Analysis: Understanding the relationship between variables using correlation analysis, including Pearson's correlation coefficient and Spearman's rank correlation coefficient.
⢠Regression Analysis: Overview of regression analysis, including simple linear regression and multiple linear regression, to model the relationship between variables.
⢠Multivariate Analysis: Introduction to multivariate analysis techniques, such as factor analysis and cluster analysis, for analyzing complex survey data.
⢠Decision Making: Application of survey analysis results in decision making, including interpreting statistical results, identifying trends and patterns, and making data-driven recommendations.
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