The Data Management and Analysis Using STATA training equips participants with hands-on skills to analyze data effectively using the powerful STATA software. This course focuses on key techniques such as importing and managing data, creating efficient workflows, and handling missing data. Participants gain hands-on experience with real-world datasets, enabling them to conduct comprehensive statistical analysis, interpret results, and make data-informed decisions. Whether you are new to STATA or looking to sharpen your skills, this training will help you become a confident and capable data analyst.

Program Objectives

• Acquire the skills to conduct empirical analysis using STATA
• Understand and correctly use essential statistical concepts
• Perform data analysis tasks with STATA
• Manage and manipulate datasets, from basic to complex tasks

Target Audience

This training is suitable for:

• Data Analysts and Professionals
• Researchers and Academics
• Students and Beginners
• Statisticians and Data Scientists
• Government and Policy Analysts

Training Period

• Classroom: 5 Days
• Online: 7 Days

Course Modules

Module 1: Introduction to STATA and data management tools.

• Stata interface and files
• Using do-files
• Variables, locals and globals
• Changing directory
• Opening, browsing, saving, sorting, importing and exporting datasets
• Stata Help
• Saving results output in a log file
• Renaming, labelling, ordering, creating and replacing variables
• Merging and appending datasets
• Manipulating datasets (reshape; collapse)
• Using loops (foreach; forvalues)
• Summary statistics (sum; _pctile; by(varlist))
• Useful functions for creating summary variables (egen)
• Creating graphs (line plots; scatter plots)

Module 2: Statistical Tests using Stata.

• Data cleaning with large datasets
• OLS and output interpretation
• Hypothesis testing
• One Sample T Test
• Independent Samples T Test
• Paired Samples T Test
• One-Way ANOVA

Module 3: Associations in Stata.

• Chi-Square test.
• Pearson’s Correlation.
• Spearman’s Rank-Order Correlation.

Module 4: Predictive Models using Stata.

• Linear Regression.
• Multiple Regression.
• Logistic Regression.
• Ordinal Regression.

Module 5: Panel Data Analysis using Stata.

• Exploration of panel data.
• Fixed effects model/LSDV.
• Random effects model.
• Choosing the appropriate model.

Module 6: Time Series Analysis using Stata.

• Introduction to time series analysis using Stata.
• Plotting a time series.
• Seasonal differences.
• Auto correlations.
• Forecast models in Stata.

Module 7: Econometric Analysis.

• Econometric Analysis of cross-sectional data
• Econometric Analysis of panel data
• Econometric Analysis of time-series data

Delivery Method

This program is taught through a mix of practical activities, theory, group work and case studies. Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of the training, participants will be awarded a certificate of course completion

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.