Course Overview
This advanced STATA certification course is designed for professionals who already have a foundational understanding of STATA and are ready to tackle complex data analysis and econometric modeling. This intensive STATA course program will take your skills beyond basic commands, enabling you to perform sophisticated statistical analysis, manage complex datasets, and generate publication-quality reports. Whether you are a researcher, analyst, or policy-maker, this STATA course will provide you with the expertise to confidently handle advanced quantitative research projects.
Throughout this STATA certification course, you'll delve into a wide range of advanced topics. The curriculum includes advanced data manipulation techniques, regression diagnostics, panel data analysis, time-series econometrics, and survival analysis. You'll also explore specialized topics like instrumental variables (IV), propensity score matching (PSM), and meta-analysis. The program is a series of hands-on, practical sessions that will solidify your understanding and ensure you can apply these advanced methods to real-world research questions.
Course Objectives
Upon the successful completion of this Masterclass in Econometrics and Data Analysis with Advanced STATA Certification, participants will be able to:
ü Master advanced data management and programming in STATA.
ü Conduct and interpret advanced regression diagnostics for linear and non-linear models.
ü Apply and interpret panel data models (Fixed Effects, Random Effects).
ü Perform time-series analysis, including ARIMA and ARCH/GARCH models.
ü Implement causal inference techniques such as instrumental variables and difference-in-differences.
ü Conduct survival analysis and understand the Kaplan-Meier and Cox regression models.
ü Automate data analysis tasks using DO files and Mata programming.
ü Generate high-quality, reproducible research and professional reports.
Training Methodology
The course is designed to be highly interactive, challenging and stimulating. It will be an instructor led training and will be delivered using a blended learning approach comprising of presentations, discussions, guided sessions of practical exercise, case study review, web-based tutorials, group work, exploration of relevant issues collaborative strength training, performance measurement, and workshops of participants’ displays, all of which adhere to the highest standards of training. The training technique is built on learning by doing, with lecturers using a learner-centered approach to engage participants and provide tasks that allow them to apply what they’ve learned. Experiential knowledge is also given equal importance within the format of training. Our facilitators are seasoned industry professionals with years of expertise in their chosen fields. All facilitation and course materials will be offered in English.
Who Should Attend?
This Masterclass in Econometrics and Data Analysis with Advanced STATA Certification would be suitable for, but not limited to:
ü Researchers and Academics
ü Data Analysts and Statisticians
ü Economists and Financial Analysts
ü Graduate Students in Social Sciences, Public Health, And Economics
ü Professionals who use STATA for advanced quantitative research
Personal Benefits
ü Career Advancement: Position yourself as a highly skilled data professional, opening up opportunities in research, government, and the private sector.
ü Enhanced Analytical Skills: Gain the expertise to handle complex, real-world datasets and answer intricate research questions.
ü Increased Efficiency: Learn to automate tasks and streamline your workflow, saving significant time and effort.
ü Professional Recognition: Earn an advanced STATA certification course that validates your proficiency.
ü Improved Research Quality: Produce more rigorous, robust, and publishable research.
Organizational Benefits
ü Data-Driven Decision Making: Equip your team with the skills to perform advanced analysis for better strategic decisions.
ü Higher Research Productivity: Enable researchers to complete complex projects more efficiently and accurately.
ü Reproducible Research: Ensure all analysis is documented, transparent, and easily replicated.
ü Reduced Reliance on External Experts: Build in-house capacity for advanced statistical analysis.
ü Enhanced Credibility: Improve the quality and rigor of internal and external reports and publications.
ü Course Duration: 5 Days
ü Training Fee
o Physical Training: USD 1,300
o Online / Virtual Training: USD 1,000
Course Outline
Module 1: Advanced Data Management and Programming
ü Merging and appending complex datasets
ü Reshaping data (long to wide and vice versa)
ü Introduction to loops and macros
ü Creating custom commands and functions
ü Practical Session: Automating a Data Cleaning and Merging Workflow
Module 2: Advanced Linear Regression and Diagnostics
ü Assumptions of OLS and their implications
ü Heteroskedasticity and robust standard errors
ü Multicollinearity and autocorrelation
ü Outliers, leverage, and influence
ü Practical Session: Conducting a Full Regression Diagnostic on a Dataset
Module 3: Generalized Linear Models
ü Introduction to GLM family of models
ü Logistic regression for binary outcomes
ü Poisson and negative binomial regression for count data
ü Probit and multinomial logit models
ü Practical Session: Building and Interpreting a Logistic Regression Model
Module 4: Panel Data Analysis
ü Introduction to panel data structures
ü The difference between pooled OLS, Fixed Effects, and Random Effects
ü Hausman test to choose between FE and RE models
ü Dynamic panel models
ü Practical Session: Estimating and Interpreting a Panel Data Model
Module 5: Time-Series Econometrics
ü Stationarity, unit roots, and differencing
ü Autoregressive (AR), Moving Average (MA), and ARMA models
ü Forecasting with ARIMA models
ü Introduction to ARCH and GARCH for volatility modeling
ü Practical Session: Running a Time-Series Forecast on Real-World Data
Module 6: Causal Inference and Program Evaluation
ü Introduction to causal inference
ü Instrumental Variables (IV) and Two-Stage Least Squares (2SLS)
ü Difference-in-Differences (DiD) models
ü Propensity Score Matching (PSM)
ü Practical Session: Implementing a DiD Model to Evaluate a Program's Impact
Module 7: Survival Analysis
ü Introduction to survival data and censoring
ü Kaplan-Meier and Nelson-Aalen survival curves
ü Log-rank test
ü Cox proportional hazards regression
ü Practical Session: Analyzing and Visualizing Survival Data
Module 8: Introduction to Meta-Analysis
ü Concepts and goals of meta-analysis
ü Data preparation for meta-analysis in STATA
ü Fixed-effects vs. random-effects models
ü Creating forest plots
ü Practical Session: Performing a Meta-Analysis on a Set of Studies
Module 9: Reporting and Reproducible Research
ü Using DO files for transparency and reproducibility
ü Creating publication-quality tables and graphs
ü Integrating STATA output with Word, Excel, and LaTeX
ü Best practices for documenting your work
ü Practical Session: Creating a Fully Reproducible Research Report
Module 10: The Certified Analyst Capstone Project
ü Participants will be given a complex dataset and a research question
ü Independently apply skills learned throughout the course
ü Present findings and code to the class
ü Receive final feedback and certification
ü Practical Session: Final Project Presentation and Peer Review
About Our Trainers
Our trainers are highly experienced data scientists and economists with advanced degrees and extensive backgrounds in both academia and industry. With over a decade of experience using STATA for complex research, they have taught at leading universities and trained professionals from various organizations. Their expertise is both theoretical and practical, ensuring you learn not just the "how," but also the "why" behind each command.
Quality Statement
We are committed to delivering a superior learning experience. Our advanced STATA certification course features a meticulously designed curriculum, expert instruction, and a hands-on approach to ensure you leave with tangible, applicable skills. We believe in providing quality education that directly translates to professional growth and success.
Admission Criteria
ü Participants should be reasonably proficient in English.
ü Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.
Terms and Conditions
Booking for Training
Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.
Or call us on +254720272325 / +254737296202
Payment Options
We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:
Cancellation Policy
Tailor-Made Courses
We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com
Accommodation and Airport Pick-up
For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202
| Course Dates | Venue | Fees | Enroll |
|---|---|---|---|
| Jul 06 - Jul 10 2026 | Zoom | $1,200 |
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| Nov 09 - Nov 13 2026 | Zoom | $1,200 |
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| Jun 08 - Jun 12 2026 | Nairobi | $1,500 |
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| Aug 10 - Aug 14 2026 | Nairobi | $1,500 |
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| Oct 12 - Oct 16 2026 | Nairobi | $1,500 |
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| Dec 07 - Dec 11 2026 | Nairobi | $1,500 |
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| Jul 13 - Jul 17 2026 | Naivasha | $1,500 |
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| Oct 05 - Oct 09 2026 | Mombasa | $1,500 |
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| Jun 01 - Jun 05 2026 | Kisumu | $1,500 |
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| Jul 06 - Jul 10 2026 | Eldoret | $1,500 |
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| Jun 08 - Jun 12 2026 | Kampala | $2,500 |
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| Jul 13 - Jul 17 2026 | Arusha | $2,500 |
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| Jul 06 - Jul 10 2026 | Johannesburg | $4,500 |
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| Sep 07 - Sep 11 2026 | Pretoria | $4,500 |
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| Aug 03 - Aug 07 2026 | Cape Town | $4,500 |
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| Oct 12 - Oct 16 2026 | Dubai | $5,000 |
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| Sep 07 - Sep 11 2026 | Riyadh | $5,000 |
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| Sep 14 - Sep 18 2026 | Istanbul | $6,500 |
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Phoenix Training Center
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