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Introduction
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.
Who should attend?
This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a Stata course is required.
Requirements
Participants should be reasonably proficient in English.
Duration
10 days
Learning objectives
By the end of the training, you will be able to:
- 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.
Topics covered
Day 1: Introduction to Statistics, Data Collection, Processing and Stata
- Introduction to Statistics Concepts
Day 2: Data Processing and Management with Stata
- Concepts and Software and technologies for Data Collection and Processing
Day 3: Data Processing and Management with Stata
- Stata Basics
- Data Structures and Types of Variables
- Data Management using Stata
Day 4: Output management and tabulating data with Stata
- Output Management
- Basics of stata programming
- Tabulating data with Stata
Day 5: Basic Stata Graphics
- Basics of graphing
- Graphing quantitative
- Graphing qualitative data
- Advanced graphing
Day 6: Statistical Inference
- Tests of Association
- Tests of Difference
- Hypothesis testing
Day 7: Regression Analysis using Stata
- Linear Regression
- Multiple Regression
- Binary regression
- Logistic Regression
- GLM Model
- The Problems with regression
Day: 8 Advanced analysis of complex survey data
- Introduction to survey data
- Bayesian Analysis of Complex Sample Survey Data
- Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
- Fitting Structural Equation Models to Complex Sample Survey Data
- Small Area Estimation and Complex Sample Survey Data
- Nonparametric Methods for Complex Sample Survey Data
Day: 9 Panel data analysis
- Introduction to panel data analysis
- Advanced longitudinal/panel data analysis
Day: 10 Time series Analysis
- Basic elements of time-series analysis
- Managing and summarizing time-series data
- Univariate models
- Introduction to forecasting in Stata
Methodology
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Accreditation
Upon successful completion of this training, participants will be issued with a certificate of participation.
Training venue
The training is residential and will be held at T4D Training Centre in Westlands Nairobi, Kenya. The course fees cover the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
Tailor- made
We can also tailor-make our courses for you. This way, you/your organization will benefit by:
- Using own tools during the training
- Being able to choose areas of interest you wish the trainer to put more emphasis on
- Taking the course in-house or at a venue of choice
- Cutting on the cost of transport and accommodation
For further inquiries, please contact us on details below:
Email: [email protected]
Mobile: +254 706909947
Accommodation
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: [email protected]
Mobile Number: +254 706909947
Training fee
The course fee is KES 150,000.00 or USD 2,200.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Payment
Payment should be transferred to Tech For Development – T4D account through bank on or before the course starting date.
Send proof of payment to [email protected]
Cancellation policy
Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
- Participants may cancel attendance 14 days or more prior to the training commencement date.
- No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure
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