Data Analysis Training Workshop Using STATA
Background
Stata is arguably the best software for data management and statistical analysis. It is a fast, powerful statistical package designed for researchers of all disciplines. Stata is a complete, integrated statistical package that provides everything for data analysis from data management to basic analysis and advanced analysis.
Stata makes it easy to generate publication-quality, distinctly styled graphs, including descriptive graphs, regression fit graphs, etc. With the integrated Graph Editor, you click to change anything about your graph or to add titles, notes, lines, arrows, and text. Stata is distributed in more than 150 countries and is used by professionals in many fields of research and business. The vast family of Stata users across many disciplines is another reason Stata is a software of choice.
Objectives of the Training Workshop
The training outcomes for this course include:
- The ability to use Stata efficiently for basic and intermediate data analysis. The course will introduce you to Stata and Stata files including do-files (which allow for quality control and quick reproducibility of data management and analysis) and log-files (which store data management and analysis outputs).
- You will learn to use Stata for data cleaning and management and be able to import other types of data files, e.g. Excel, into Stata.
- You will achieve an understanding of descriptive statistics. You will be able to test for normality and conduct appropriate descriptive statistics in Stata. You will also learn to conduct sub-group (stratified) analysis in Stata.
- You will be introduced to inferential statistics including such concepts as confidence intervals, p-values, and bi-variate inferential statistics (hypothesis testing). The theory behind the statistics will be explained and you will be able to conduct analysis in Stata and interpret statistical outputs.
The course will use a fine blend of interactive discussions, group exercises for every session, selfpaced learning, and project reports that will simulate real-life scenarios. At the end of the course, participants will be able to produce and interpret basic and intermediate descriptive and inferential statistics using Stata. As a result, they will be able to take raw data, clean them, summarise them, analyze them and take appropriate action. They will also be able to appraise and interpret research publications by other authors.
Self-Learning and Practical Sessions
The course will have a dedicated number of hours for self-paced learning and practical exercises. Each participant will be given maximum attention to make sure they follow the facilitator at every point.