Training on Survey Data Analysis with Python

Module 1: Introduction to Survey Data Analysis

• Understanding survey data analysis processes
• Importance of survey data in research and business
• Overview of Python libraries (Pandas, NumPy, SciPy, Statsmodels)
• Case Study: Evaluating survey data quality in a market research project
• Practical Exercise: Load sample survey datasets and explore data structure

Module 2: Data Import and Cleaning

• Importing data from CSV, Excel, SPSS
• Handling missing data and outliers
• Data coding and recoding techniques
• Case Study: Cleaning a multi-format survey dataset
• Practical Exercise: Perform data cleaning and outlier treatment

Module 3: Descriptive Statistics and Data Exploration

• Frequency distributions, cross-tabulations
• Measures of central tendency and dispersion
• Visualization techniques: bar charts, histograms, pie charts
• Exploring relationships between variables
• Case Study: Analyzing customer satisfaction survey data
• Practical Exercise: Generate descriptive statistics and visualizations

Module 4: Inferential Statistics

• Hypothesis testing: t-tests, chi-square, ANOVA
• Confidence intervals and sample size determination
• Correlation and regression analysis
• Case Study: Testing survey hypotheses for product feedback
• Practical Exercise: Conduct inferential analysis using Python

Module 5: Scaling and Factor Analysis

• Likert scale analysis and reliability testing (Cronbach’s alpha)
• Factor analysis for dimensionality reduction
• Case Study: Identifying key factors in employee engagement surveys
• Practical Exercise: Perform factor analysis on survey dataset

Module 6: Advanced Survey Data Analysis Techniques

• Conjoint and MaxDiff analysis
• Cluster and discriminant analysis
• Case Study: Segmenting customer groups based on survey responses
• Practical Exercise: Apply cluster analysis to group survey respondents

Module 7: Survey Data Visualization

• Creating effective visualizations (bar, line, scatter plots)
• Interactive visualizations with Plotly
• Storytelling with survey data
• Case Study: Presenting survey insights for executive decision-making
• Practical Exercise: Build interactive dashboards from survey data

Module 8: Survey Data Reporting

• Writing clear, concise survey reports
• Communicating findings effectively
• Using visualizations to enhance reports
• Case Study: Reporting on a national survey for policy recommendations
• Practical Exercise: Draft a survey report with key visuals

Module 9: Case Studies and Real-World Applications

• Applying survey data analysis to solve business problems
• Drawing actionable insights from real-world datasets
• Practical Exercise: Analyze a complete survey dataset from collection to reporting

Module 10: Survey Data Ethics and Quality

• Ethical considerations in survey research
• Ensuring survey data quality
• Best practices for survey design and administration
• Case Study: Ethical dilemmas in survey research and resolution
• Practical Exercise: Assess the quality and compliance of a survey dataset