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Program Overview

The program "Analysis of Statistical Data with Advanced Computational Tools" is designed to equip participants with the knowledge and skills necessary to analyze and interpret statistical data using advanced computational tools.

Program Description

The program aims to provide participants with a comprehensive understanding of statistical analysis and its applications in various fields. The program covers topics such as quantitative and qualitative research methods, sampling techniques, descriptive statistics, correlation and hypothesis testing, regression analysis, and data presentation.

Program Objectives

The program objectives are to:

• Provide participants with a solid foundation in statistical analysis and its applications
• Equip participants with the skills to analyze and interpret statistical data using advanced computational tools
• Enable participants to present their findings effectively and communicate their results with accuracy and reliability

Program Structure

The program consists of 7 modules:

1. Methods of Quantitative and Qualitative Research: This module introduces participants to the principles of quantitative and qualitative research methods.
2. Sampling Techniques: This module covers the principles and techniques of sampling in statistical analysis.
3. Descriptive Statistics: This module provides an overview of descriptive statistics, including measures of central tendency and variability.
4. Correlation and Hypothesis Testing: This module introduces participants to the concepts of correlation and hypothesis testing in statistical analysis.
5. Regression Analysis: This module covers the principles and applications of regression analysis in statistical modeling.
6. Data Presentation: This module provides guidance on how to present statistical findings effectively and communicate results with accuracy and reliability.
7. Applications of Statistical Analysis: This module provides an overview of the applications of statistical analysis in various fields, including business, economics, and social sciences.

Program Requirements

The program is designed for individuals with a background in statistics, mathematics, or a related field. Participants are expected to have:

• A bachelor's degree in a relevant field
• Basic knowledge of statistical analysis and computational tools
• Familiarity with Microsoft Office, particularly Word and Excel

Program Faculty

The program faculty includes experienced instructors with expertise in statistical analysis and computational tools, including:

• Dr. Aimilia Protogerou, Member of the Educational Staff, National Technical University of Athens
• Dr. Ioanna Kastelli, Member of the Educational Staff, National Technical University of Athens
• Dr. Panagiotis Panagiotopoulos, Postdoctoral Researcher, National Technical University of Athens
• Dr. Evangelos Siokas, External Instructor

Program Fees

The program fee is 400 euros, payable in two installments:

• 50% upon registration
• 50% before the end of the program

Program Duration

The program duration is 100 hours, with a combination of synchronous and asynchronous online sessions.

Program Certification

Upon completion of the program, participants will receive a certificate of specialized training from the National Technical University of Athens.

Program Enrollment

To enroll in the program, participants must submit an application form, which includes:

• Personal details
• Educational background
• Professional experience (if applicable)
• Statement of interest

Program Policies

The program policies include:

• Admission Criteria: Participants must meet the program requirements and submit a complete application form.
• Payment Terms: The program fee is payable in two installments, with the first installment due upon registration and the second installment due before the end of the program.
• Cancellation Policy: Participants may cancel their enrollment up to two weeks before the program start date, with a full refund of the program fee.
• Data Protection: The program organizers will protect participants' personal data in accordance with the General Data Protection Regulation (GDPR).