Course Overview
Stata is a complete statistical software package for data management, data analysis and graphics. It comprises classical and advanced functions including: panel data analysis, forecasting, time series analysis, survival analysis, cross sectional and longitudinal survey methods, structural equation modeling, simulation methods and tables for almost all researchers and analysts. The software can be used via a graphical user interface (menus and dialog boxes) or a command-line interface using its very intuitive programming language. Stata benefits from a very active user community giving support on a dedicated mailing list (Statalist) and developing new packages to extend the software capabilities.
Duration
10 days
Target Audience
- Data Analysts
- Statisticians
- Researchers
- Financial Analysts
- Epidemiologists and Biostatisticians
- Business Analysts
- Consultants
Organizational Impacts
- Enhanced ability to produce detailed and informative data visualizations
- Improved decision-making through advanced statistical analyses
- Streamlined data management and sharing processes with Dataverse integration
Personal Impacts
- Advanced proficiency in STATA for complex data analysis
- Increased competency in creating and interpreting sophisticated graphics
- Enhanced skills in data management and collaboration using Dataverse
Course Outline
Course Objectives
- Understand both descriptive and inferential statistics
- Understand various data collection techniques and data processing methods
- Use mobile phones for data collection(Open Data Kit)
- Use basic functions and navigation within Stata
- Create and manipulate graphs and figures in Stata
- Annotate data, set out command functions, create and execute Do files.
- Use Stata effectively for manipulating and analysing data.
- Keep records of your work and create reproducible analyses.
- Export the results of your analyses.
Course Modules
Course Outline
Module 1: Introduction to Advanced Graphics in STATA
- Overview of graphical capabilities in STATA
- Customizing graph types and features
- Exporting and saving graphs
- Advanced graph options and settings
- Case Study: Comparing sales trends across different regions using line and bar graphs
Module 2: Data Visualization Techniques
- Creating scatterplots and adding regression lines
- Histograms and density plots
- Boxplots and violin plots for distributions
- Multi-panel graphs for comparative analysis
- Case Study: Visualizing customer satisfaction scores by demographic factors
Module 3: Complex Tabulations and Summaries
- Generating frequency tables
- Cross-tabulations and chi-square tests
- Summary statistics with multiple group comparisons
- Using
tableandtabstatcommands - Case Study: Analyzing survey responses to identify patterns and correlations
Module 4: Handling Missing Data in Graphics
- Identifying missing data patterns
- Visualizing missing data with graphs
- Strategies for dealing with missing data in analyses
- Implementing imputation methods
- Case Study: Assessing the impact of missing data on survey results
Module 5: Advanced Regression Analysis
- Multiple regression modeling
- Interaction effects and moderating variables
- Diagnostics and model validation
- Visualizing regression results with graphs
- Case Study: Evaluating the effect of marketing strategies on sales performance
Module 6: Time Series Analysis and Visualization
- Plotting time series data
- Decomposition and trend analysis
- Seasonal effects and forecasting
- Time series regression and autocorrelation
- Case Study: Analyzing monthly stock prices for trend and seasonality
Module 7: Panel Data Analysis
- Creating and managing panel datasets
- Fixed effects vs. random effects models
- Visualizing panel data results
- Interpreting coefficients and model fit
- Case Study: Examining economic growth indicators across countries over time
Module 8: Advanced Statistical Tests and Procedures
- ANOVA and MANOVA techniques
- Non-parametric tests and their applications
- Post-hoc analysis and comparisons
- Visualizing results from statistical tests
- Case Study: Comparing treatment effects across different patient groups
Module 9: Multivariate Analysis and Visualization
- Principal Component Analysis (PCA)
- Factor Analysis and dimensionality reduction
- Cluster analysis and visualization
- Interpreting multivariate results with graphs
- Case Study: Segmenting customer data for targeted marketing strategies
Module 10: Customizing and Automating Graphics
- Writing custom graph scripts
- Automating repetitive graph tasks
- Creating graph templates and styles
- Sharing and integrating custom graphics with reports
- Case Study: Developing a customized reporting dashboard for financial analysis
Related Courses
Course Administration Details
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to outreach@indepthresearch.org
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