Executive Development Programme Survey Analysis for Decision Making
-- viewing nowThe 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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Course Details
• 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.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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