Analyze quantitative data with
STATA is a software package used for statistical data analysis, data management, and graphical representation. It is extensively used by researchers and professionals in the fields of social sciences economics, epidemiology, biostatics, and finance.
About this module
This comprehensive module covers various aspects of data management and analysis using STATA. You will learn about the different types of data that STATA handles and how to manage dependent and independent variables. We will delve into basic statistical tools, focusing on correlation and regression analysis. The module will also discuss handling panel-level heteroskedasticity and autocorrelation, ensuring a robust approach to data analysis.
What you’ll need
- STATA Software package
- Any spreadsheet software like Excel, Pages or Sheets
- 30 hours
Skills you will gain
Correlation Analysis Regression Analysis Univariate Time Series Analysis Multivariate Time Series Analysis Pooled OLS Regression Fixed Effect Models Random Effect Models Panel-level Heteroskedasticity AutocorrelationOUTCOME
Data Management
Efficiently manage dependent and independent variables.
Strong Foundation
Gain expertise in regression analysis and apply both linear and non-linear regression models.
Time Series Analysis
Analyze continuous datasets and Univariate and Multivariate Time Series analysis.
Enhanced Regression Modeling
Conduct pooled OLS regression. Differentiate between and apply fixed effect and random effect models.
Improved Interpretation
Learn to analyze and interpret the results from various statistical tests and models in STATA.
Getting started with STATA
Introduction to regression
- How to do the correlation analysis in STATA?
- Procedure and interpretation of linear regression analysis using STATA
- Finding sentiment bigrams with supervised machine learning
- Applying regression on secondary data using SPSS
- Understanding the correlation and regression analysis values
- Application of multivariate regression analysis
- How to work with a moderating variable in the regression test with SPSS?
- How to work with a mediating variable in a regression analysis?
- How to process the primary dataset for a regression analysis?
- What is the relevance of significant results in regression analysis?
- Non linear regression analysis in STATA and its interpretation
Time series analysis
- How to set the ‘Time variable’ for time series analysis in STATA?
- The problem of non-stationarity in time series analysis in STATA
- Handling unit root problem from Dickey-Fuller test in time series analysis
- How to build the univariate ARIMA model for time series in STATA?
- ARIMA modeling for time series analysis in STATA
- How to predict and forecast using ARIMA in STATA?
- How to test normality in STATA?
- How to perform Heteroscedasticity test in STATA for time series data?
- How to test time series autocorrelation in STATA?
- How to perform point forecasting in STATA?
- How to perform regression analysis using VAR in STATA?
- Lag selection and cointegration test in VAR with two variables
- How to perform Johansen cointegration test in VAR with three variables?
- How to perform Johansen cointegration test?
- How to perform Granger causality test in STATA?
- VECM in STATA for two cointegrating equations
- How to test and diagnose VECM in STATA?
- How to identify ARCH effect for time series analysis in STATA?
- ARCH model for time series analysis in STATA
- Testing the accuracy of the stock market forecasting model
Live tuition sessions
Our live tuition sessions are curated for statistical analysis problems that need you to delve deeper into STATA. They include discussions on problems you feel stuck at and can’t find the answer to.
Focussed sessions
- Virtual teaching using live demonstration.
- Illustration for different levels of complexity of datasets.
- Easy to follow instructions.
- Tutoring is focused on understanding concepts rather than rote learning.
- Customized session agenda keeping with different industry requirements.
Check out our upcoming tuition events in the calendar. Click on the event to view its agenda and book your session.