Stata Data Analysis → Overview of Stata interface

Curriculum

26 Sections
81 Lessons
8 Weeks

Expanse all sectionsCollapse all sections

Introduction to Stata
4
- 1.1
  Overview of Stata interface
- 1.2
  Understanding Stata commands
- 1.3
  Importing and exporting data
- 1.4
  Basic data manipulation
Data Management Basics
4
- 2.1
  Working with variables: Creating, renaming, and labeling
- 2.2
  Data types and formats
- 2.3
  Handling missing data
- 2.4
  Using the Data Editor
Data Cleaning Techniques
4
- 3.1
  Identifying and correcting errors in data
- 3.2
  Recoding variables
- 3.3
  Dealing with outliers
- 3.4
  Merging datasets
Descriptive Statistics
3
- 4.1
  Computing summary statistics (mean, median, mode, variance)
- 4.2
  Frequency tables and cross-tabulations
- 4.3
  Generating graphs and plots (histograms, box plots)
Data Visualization
3
- 5.1
  Creating scatter plots and line graphs
- 5.2
  Customizing graphs (titles, legends, colors)
- 5.3
  Exporting graphs for presentations/publications
Introduction to Statistical Inference
3
- 6.1
  Concepts of population vs. sample
- 6.2
  Types of statistical tests
- 6.3
  Understanding p-values and confidence intervals
One-Sample Hypothesis Testing
3
- 7.1
  Conducting one-sample t-tests
- 7.2
  Interpreting results and reporting findings
- 7.3
  Practical applications
Comparing Two Means
3
- 8.1
  Independent samples t-test
- 8.2
  Paired samples t-test
- 8.3
  Effect size and power analysis
ANOVA (Analysis of Variance)
3
- 9.1
  One-way ANOVA
- 9.2
  Post-hoc tests (Tukey, Bonferroni)
- 9.3
  Interpreting ANOVA results
Chi-Square Tests
3
- 10.1
  Chi-square test for independence
- 10.2
  Chi-square goodness of fit test
- 10.3
  Interpreting Chi-square results
Correlation Analysis
3
- 11.1
  Pearson and Spearman correlation coefficients
- 11.2
  Scatter plots and correlation matrices
- 11.3
  Interpreting correlation results
Simple Linear Regression
3
- 12.1
  Introduction to regression analysis
- 12.2
  Estimating regression coefficients
- 12.3
  Interpreting regression output
Multiple Linear Regression
3
- 13.1
  Adding predictors to the model
- 13.2
  Assessing model fit (R-squared, Adjusted R-squared)
- 13.3
  Understanding multicollinearity
Model Diagnostics
3
- 14.1
  Checking assumptions of regression (linearity, homoscedasticity)
- 14.2
  Residual analysis
- 14.3
  Identifying influential observations
Logistic Regression
3
- 15.1
  Introduction to binary outcomes
- 15.2
  Estimating odds ratios
- 15.3
  Interpreting logistic regression results
Advanced Regression Techniques
3
- 16.1
  Polynomial regression
- 16.2
  Interaction terms
- 16.3
  Time-series regression
Survival Analysis
3
- 17.1
  Introduction to survival data
- 17.2
  Kaplan-Meier estimator
- 17.3
  Cox proportional hazards model
Panel Data Analysis
3
- 18.1
  Understanding panel data structure
- 18.2
  Fixed effects vs. random effects models
- 18.3
  Interpreting results from panel data regressions
Time Series Analysis
3
- 19.1
  Components of time series data
- 19.2
  Autoregressive Integrated Moving Average (ARIMA) models
- 19.3
  Forecasting future values
Nonparametric Methods
3
- 20.1
  Introduction to nonparametric tests
- 20.2
  Mann-Whitney U test
- 20.3
  Kruskal-Wallis test
Data Restructuring
3
- 21.1
  Reshaping datasets (wide to long, long to wide)
- 21.2
  Merging and appending datasets
- 21.3
  Using the reshape command
Advanced Graphics Techniques
3
- 22.1
  Creating advanced visualizations (heatmaps, facet plots)
- 22.2
  Customizing graph aesthetics
- 22.3
  Using graph export options
Programming in Stata
3
- 23.1
  Introduction to Stata’s programming language
- 23.2
  Writing do-files and ado-files
- 23.3
  Creating custom functions
Using Stata for Reproducible Research
3
- 24.1
  Documenting your workflow
- 24.2
  Using Markdown with Stata
- 24.3
  Best practices for reproducibility
Capstone Project
3
- 25.1
  Applying skills learned throughout the course
- 25.2
  Working on a real-world dataset
- 25.3
  Presenting findings and insights
Course Conclusion
3
- 26.1
  Review of key concepts
- 26.2
  Discussion on further learning resources
- 26.3
  Feedback and evaluation of the course

This content is protected, please and enroll in the course to view this content!

Understanding Stata commands

Curriculum

Login with your site account

Register a new account

Modal title