Advanced Data Analysis using STATA Training Course

Course Outline

Module 1: Data Management in STATA
•    Importing and exporting data
•    Data cleaning and preparation
•    Managing datasets and variables
•    Merging and appending datasets
•    Practical session: Cleaning and preparing a large dataset
Module 2: Descriptive Statistics and Data Exploration
•    Calculating summary statistics
•    Exploring data distributions
•    Creating and interpreting histograms and scatter plots
•    Identifying outliers and missing data
•    Practical session: Exploring and summarizing a dataset
Module 3: Regression Analysis
•    Simple and multiple linear regression
•    Logistic regression
•    Interpretation of regression outputs
•    Diagnostic tests and model validation
•    Practical session: Performing and interpreting regression analyses
Module 4: Panel Data Analysis
•    Introduction to panel data
•    Fixed effects and random effects models
•    Testing for panel data assumptions
•    Dynamic panel data models
•    Practical session: Analyzing panel data with fixed and random effects models
Module 5: Time Series Analysis
•    Introduction to time series data
•    ARIMA and ARMA models
•    Forecasting techniques
•    Seasonal decomposition of time series
•    Practical session: Analyzing and forecasting time series data
Module 6: Hypothesis Testing
•    Formulating hypotheses
•    Performing t-tests and chi-square tests
•    ANOVA and MANOVA
•    Non-parametric tests
•    Practical session: Conducting hypothesis tests
Module 7: Advanced Programming in STATA
•    Writing and debugging do-files
•    Automating repetitive tasks
•    Using loops and macros
•    Creating custom functions and programs
•    Practical session: Writing a complex do-file for data analysis
Module 8: Econometric Models
•    Probit and logit models
•    Multinomial and ordered logistic regression
•    Instrumental variables and two-stage least squares
•    Simultaneous equations models
•    Practical session: Applying econometric models to real data
Module 9: Data Visualization
•    Creating and customizing graphs and charts
•    Exporting and presenting visualizations
•    Advanced graphing techniques
•    Interactive visualizations with STATA
•    Practical session: Creating and customizing graphs for a report

Module 10: Advanced Data Analysis Techniques
•    Bootstrapping and resampling methods
•    Monte Carlo simulations
•    Cluster analysis and factor analysis
•    Survival analysis
•    Practical session: Applying advanced analysis techniques to a dataset

Experience of the Trainers

Our trainers are highly experienced data analysts and statisticians with extensive knowledge of STATA and advanced data analysis techniques. They have conducted numerous training sessions and workshops, helping professionals and organizations enhance their data analysis capabilities.

Quality Statement

Armstrong Global Institute is committed to providing high-quality training programs that meet the needs of our clients. Our courses are designed to be practical, interactive, and relevant, ensuring participants gain valuable skills and knowledge.

Tailor-made Courses

We offer tailor-made courses to meet the specific needs of organizations and individuals. Whether you require specialized training in a particular area or a customized course for your team, we can design and deliver a program that aligns with your goals.

Payment Information

Payment should be made a week before the training starts. For more details on payment options, please contact us.

Accommodation and Airport Pick-up

We provide assistance with accommodation arrangements and airport pick-up services for participants coming from outside Juja, Kiambu, Kenya. Please contact us for more details and to make the necessary arrangements.