Venue: Tech for Development Training Center, Nairobi, Kenya
Event Date: 9th to 20th March 2020
Course Fee: KES 139,000.00 or USD 1,853.00
Tech for Development-T4D would like to invite you to a high impact Training Course in Advanced Graphics, tabulations and Statistical Analysis using Stata to be held in Nairobi, Kenya from 9th to 20th March 2020 .
Why train with us?
- Our focus is on helping your organization achieve workplace performance improvements.
- Our rigorous pre-training evaluation ensures a robust training model that aligns training with the culture, strategic direction, and internal resources of your organization.
- Our extensive experience, expertise and client base - We have conducted training to over 10,000 attendees from 20 countries around the world.
- We boast of staff and associate trainers/facilitators with a combined 400+ years of experience training and facilitating in fields of technology, research, software development, ICT4D, GIS, M&E and soft skills.
- We are not independent contractors; all our people work as part of your Project Team.
- Attendees benefit from our post training support and mentorship provided to each attendee for 12 months after completion of any training course.
- Small class sizes - No more than 15 people to ensure you get the most from our trainers.
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.
Participants should be reasonably proficient in English.
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.
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
Data Structures and Types of Variables
Data Management using Stata
Day 4: Output management and tabulating data with Stata
Basics of stata programming
Tabulating data with Stata
Day 5: Basic Stata Graphics
Basics of graphing
Graphing qualitative data
Day 6: Statistical Inference
Tests of Association
Tests of Difference
Day 7: Regression Analysis using Stata
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
Introduction to forecasting in Stata
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.
Upon successful completion of this training, participants will be issued with a certificate of participation.
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.
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 (0) 729166479
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: [email protected]
Mobile Number: +254 706909947
The course fee is KES 139,000.00 or USD 1,853.00 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 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]
Kindly visit this link to see video and photo testimonials of our previous training events.
Need more information? Visit this link to see answers to frequently asked questions.
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
Lennox I. Mucheni
Customer Relationship Officer,
Tech for Development.
Innovation for impact