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Mastering Medical Data Analysis with SPSS: A Comprehensive Guide for Researchers

This comprehensive course, “Mastering Medical Data Analysis with SPSS”, is designed to equip researchers and healthcare professionals with essential skills in data analysis…

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د.ا35
  • Last Updated: February 3, 2025
  • English

About Course

This comprehensive course, “Mastering Medical Data Analysis with SPSS”, is designed to equip researchers and healthcare professionals with essential skills in data analysis using SPSS, a leading statistical software. Based on the curriculum from Kent State University, this course covers everything from basic software setup to advanced statistical tests commonly used in medical research.

You will start by learning how to install, activate, and navigate the SPSS environment, including working with data and variables. As you progress, the course will dive into the basics of Excel, guiding you through importing, cleaning, and managing data for analysis. You’ll also learn how to enter data from questionnaires and understand the different types of questions and variables used in medical surveys.

In the later modules, you’ll explore a wide range of statistical tests, including descriptive statistics and inferential tests like Chi-square, Pearson correlation, and T-tests. The course offers practical instruction on how to interpret data through graphs, tables, and statistical reports, as well as how to edit these outputs in SPSS, Excel, and MS Word.

By the end of this course, you will have the skills to confidently analyze medical research data, interpret results, and apply appropriate statistical methods to improve the quality of your research. Whether you are a student, researcher, or healthcare professional, this course will provide you with a solid foundation in SPSS data analysis, enabling you to make data-driven decisions in medical research.

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Benefits of the course

  • By the end of this course, you will be able to:
  • Navigate SPSS – Install, activate, and confidently work within the SPSS environment, mastering its tools and features.
  • Manage Data Effectively – Import, clean, and manage datasets from Excel, ensuring accurate and organized data for analysis.
  • Define and Handle Variables – Understand variable types, enter and modify variables, and handle various forms of data such as single-answer and multiple-answer questionnaire responses.
  • Conduct Descriptive Analysis – Perform descriptive statistics, create frequency tables, and generate visual data representations such as pie charts and bar graphs.
  • Perform Statistical Tests – Learn to apply advanced statistical tests including Chi-square, Pearson correlation, and T-tests to medical research data.
  • Interpret P-values and Results – Gain a thorough understanding of inferential statistics and how to interpret key outputs like P-values and correlation coefficients.
  • Edit Tables and Graphs – Master the skills to edit statistical outputs such as tables and graphs using SPSS, Excel, and MS Word, ensuring professional presentation of your results.
  • Analyze Medical Research Data – Confidently conduct and interpret data analysis for medical research, enabling you to make data-driven decisions and improve the quality of your research projects.

Course Content

  • Install and Activate SPSS, Get to Know Each Other
  • Assigment 1
  • Dealing with Data
  • Assigment 2
  • Descriptive Statistics: How to Describe Your Data (Part 1)
  • Descriptive Statistics: How to Describe Your Data (Part 2)
  • Descriptive Statistics: How to Describe Your Data (Part 3)
  • Assigment 3
  • Inferential Statistics: How to Interpret Your Data (Part 1)
  • Inferential Statistics: How to Interpret Your Data (Part 2)
  • Inferential Statistics: How to Interpret Your Data (Part 3)
  • Assigment 4
  • Dealing with Google Forms
  • Assigment 5

Instructor

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د.ا35
  • Update: February 3, 2025
  • Lectures14
  • Skill LevelBeginner
  • LanguageEnglish
  • Course Duration: 3h 20m

Your Instructor

Abuobaida Alwasila

Medical Research Assistant| data analysis SPSS

Abuobaida ALwasila Hassan is a seasoned Medical Laboratory Specialist and SPSS statistical analyst with over five years of experience in supervising MD research. His expertise spans scientific research, medical writing, statistical analysis, and research methodology. Abuobaida has supervised more than 800 MD student research projects and analyzed thousands of surveys using SPSS. In addition to his academic and professional work, he offers a range of services, including research consultation, data analysis, and educational courses in SPSS and research methodology. He is also exploring content creation and case studies to showcase his expertise in scientific research.

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Requirements

  • Basic Computer Skills – Familiarity with using computers and navigating software applications, including basic proficiency in Microsoft Excel.
  • Statistical Knowledge – A foundational understanding of basic statistical concepts and terminology will be beneficial, though not mandatory.
  • SPSS Software – Access to SPSS software (either a licensed version or a trial version) installed on your computer to practice data analysis techniques covered in the course.
  • Internet Connection – A stable internet connection to access course materials, participate in online discussions, and submit assignments.
  • Willingness to Learn – A genuine interest in improving your data analysis skills and applying them in medical research contexts.
  • Educational Background – While not strictly required, a background in healthcare, life sciences, or social sciences is advantageous for better understanding course content.

Target Audience

  • Medical Researchers and Academics – Professionals conducting or supervising medical research who need to enhance their data analysis skills using SPSS.
  • Healthcare Professionals – Doctors, nurses, and other healthcare providers involved in clinical research or looking to improve their understanding of statistical methods.
  • Graduate and Postgraduate Students – Medical, pharmaceutical, and health science students working on theses, dissertations, or research projects that require data analysis.
  • Biostatisticians and Data Analysts – Individuals who specialize in statistical analysis within the healthcare or medical research sectors.
  • Public Health Practitioners – Professionals who need to analyze public health data to assess trends, outcomes, and intervention effectiveness.
  • Pharmaceutical Researchers – Those involved in clinical trials and drug efficacy studies looking for deeper insights into data-driven decision-making.
  • SPSS Beginners – Anyone new to SPSS who is interested in learning how to apply it specifically in the context of medical and healthcare data.
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Mastering Medical Data Analysis with SPSS: A Comprehensive Guide for Researchers
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