Course Description:
This course is designed for professionals seeking to enhance their technical skills in research data analysis. It focuses on the practical aspects of data collection, processing, and analysis, using widely adopted statistical software (SPSS, STATA). Participants will gain hands-on experience in designing electronic questionnaires, cleaning and preparing data, and applying both descriptive and advanced statistical methods. The course will also cover sampling and weighting strategies, the preparation of result tables, and the effective visualization and generalization of research findings.
By the end of this course, participants will be proficient in using tools like SPSS or STATA to analyze research data, ensuring they can support data-driven decision-making and contribute to research projects with confidence.
Target Audience:
- Research Data Analysts aiming to improve their technical skills.
- Researchers who need to handle data more effectively in their studies.
- Statisticians looking to refine their use of statistical software for research.
- Market Researchers needing to analyze survey data and present findings.
- Academics and Students involved in research requiring advanced data analysis.
Competencies Developed:
- Data Collection Design: Skills in creating and deploying effective data collection instruments, including electronic questionnaires.
- Data Cleaning and Processing: Proficiency in cleaning, organizing, and preparing data for analysis using SPSS or STATA.
- Statistical Analysis: Mastery of both descriptive and advanced statistical methods to draw meaningful insights from research data.
- Sampling and Weighting: Understanding of sampling strategies and how to apply weighting in research analysis.
- Result Presentation: Ability to prepare detailed result tables and effectively visualize and generalize research findings.
Course Contents:
- Module 1: Data Collection Methods and Instruments
- Module 2: Data Cleaning and Processing
- Module 3: Descriptive Statistical Methods
- Module 4: Advanced Statistical Methods
- Module 5: Sampling and Weighting Strategies
- Module 6: Data Visualization and Generalization of Results
The course will be led by experienced trainers
Our trainers bring over a decade of hands-on experience in research and data analysis, having led numerous high-impact projects across various industries. They blend deep theoretical knowledge with practical insights, ensuring that the training is both informative and directly applicable to real-world challenges. With their extensive expertise, they are dedicated to providing you with the skills and strategies needed to excel in research and data-driven decision-making, making sure you can apply what you learn to drive meaningful results in your work.

Nata Kvitsinashvili
Strategic Researcher and MBA with over 20 years of professional experience. Academic work includes organizing professional training sessions and collaborating with Georgian higher education institutions.
Expertise
- Research methodology: design, questionnaire, alignment with business objectives
- Research project management
- Preparation of research reports
- Data visualization
- Integration of research findings into actionable strategies
- Organization and facilitation of workshops
Lasha Bokuchava
Researcher and Data Analyst with over 20 years of professional experience. Associate Professor and Lecturer in the PhD Program at GIPA. Architect of digital products from concept to implementation, with expertise in HR analytics, research tools, and data visualization.
Expertise
- Research methodology
- Sampling design and weighting strategy
- Data collection strategy
- Data analysis and statistics
- Data visualization and reporting
- Analytical tools: SPSS, STATA, Python, Power BI, Polinode, and others


Diko Dumbadze
Data Analysis and Management Professional with over 10 years of experience in research, specializing in data cleaning, aggregation, transformation, statistical analysis, and data visualization. Proficient in developing research tools using CAPI, CATI, and CAWI software.
Expertise
- Research project planning
- Management of data collection processes
- Data collection tools: STG, QuestionPro, Survey Monkey
- Data processing and analysis: SPSS, Advanced Excel, Polinode
- Data visualization: Power Point, Data Point, Power BI
Ready to take the next step?
Reach out to us and get your detailed syllabus today!