Comprehensive Data Analysis Course Using Stata
Traditional training – (5 days, R13,000.00 excl. VAT)
Online training – (4 weeks, R9,900.00 excl. VAT)
About This Course
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. You can also choose between existing graph styles or create your own.
Stata is distributed in more than 150 countries and is used by professionals in many fields of research and business. The vast family of users of Stata across many disciplines is another reason Stata is a software of choice. We have given a free 21-day teaching license to each participant at this course.
Course Content
The course uses a fine blend of didactic lectures, group exercises for every session and two project reports that simulate real-life scenarios. 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, analyse them and take appropriate action. They will also be able to appraise and interpret published research publications by other authors.
Traditional Course Content
Day 1
- Research questions
- From variables to datasets
- Explore the capabilities of Stata
- Learn to use Stata: windows, commands, do-files, log file
- Import data in different formats into Stata
- Export data in Stata into different formats
- Appending and merging data from different sources
Day 2
- Applications of data combination
- Data management procedures
- Working with do-files
- Data cleaning before and during analysis
- Introduction to descriptive statistics
Day 3
- Introduction to Stata graphs
- Subgroup analysis
- First project report
Day 4
- Inferential statistics and meaning of differences
- Hypothesis testing, p-values and confidence intervals
- Chi-squared and Fisher’s exact tests for categorical data
- Parametric tests: t-test, ANOVA, correlation
Day 5
- Non-parametric tests: ranksum test, Kruskal Wallis, correlation
- Why multiple regression?
- Second project report
Online Course Content
Week 1
- Research questions and data collection methods
- From variables to dataset
- Explore the capabilities of Stata
- Learn to use Stata
- Data management 1: importing and exporting data in Stata
- Data management 2: appending and merging data in Stata
- Working with Stata do-files
Week 2
- Data cleaning procedures
- Making sense of data – understanding descriptive statistics
- Introduction to Stata graphs
- Stata graphs
- Subgroup analysis
- Research Project 1 and presentation
Week 3
- Inferential statistics
- Which statistical test should I use?
- Hypothesis testing using Stata – categorical variables
Week 4
- Hypothesis testing using Stata – parametric tests
- Hypothesis testing using Stata – non-parametric tests
- Why do we need multiple regression?
- Research Project 2 and presentation
Course outcomes
The course will teach participants the following:
Achieve the understanding of descriptive and inferential statistics
Be able to summarise and present data collected in their settings
Be able to make inferences from data using Stata
Who Should Attend?
- Researchers
- Biostatisticians
- Research analysts
- Data analysts
- Economists
- HODs
- Clinicians
- Epidemiologist
- Programme managers
- Postgraduate students
- Market researchers
- Clinical and medical researchers
- Scientists
- Government practitioners
Application
For more details about our services contact:
Dave Temane
Email: info@cesar-africa.com
Tel: +27 11 403 1411
Price Includes
- Course attendance
- Full refreshments: lunch
- Welcome tea
- Two breaks for tea including pastries
- Course lecture notes and training manual
- Complimentary parking
- Certificate of attendance
