Data Analysis with SPSS Course

USD 106
USD 53

Duration
02:36:25 hours

Access Time
Lifetime

Language
Arabic

Resources
(1)

Skill Level
( General - Specialized )

2942

Duration
02:36:25 hours

Access Time
Lifetime

Language
Arabic

Resources
(1)

Skill Level
( General - Specialized )

USD 106
USD 53

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About the instructor

Marwa Abo Amra

Data Analyst & IBM Certified SPSS Specialist

IBM certified SPSS statistician with over 17 years of experience in statistical data analysis, report writing, and tutoring data analysis using SPSS.
Hold a Bachelor's degree in Applied Statistics from Alexandria University and completed several certification courses in statistics and SPSS.
Work experience includes roles as a freelance SPSS instructor, statistician, research analyst, and sales and market analyst.
Proficient in various statistical software like SPSS, AMOS, Minitab, and Stata.
Technical skills include statistical data analysis, data cleaning and coding, survey design, and report writing.

Objectives of Data Analysis with SPSS Course

This course is designed to provide participants with a comprehensive understanding of how to use SPSS for data analysis. Participants will learn the essential skills and techniques required to manipulate, analyze, and visualize data using SPSS.

The course objectives include:

Introduction to Statistics: Participants will have basic concepts of statistics that enables them to correctly collect, define, organize, present, and analyze data, and use SPSS and interpret the statistical analysis results appropriately.
Introduction to SPSS: Participants will learn the basics of SPSS, including how to navigate the software, import data, and set up a project.
Data Manipulation: Participants will learn how to clean and transform data, including recoding variables, splitting file, filter data, and create new variables.
Descriptive Statistics: Participants will learn how to generate descriptive statistics, such as mean, median, mode, and standard deviation, to summarize and interpret data.
Inferential Statistics: Participants will learn how to perform inferential statistics tests, including t-tests, ANOVA, chi-square tests, and correlation analysis, to make inferences and draw conclusions from data.
Regression Analysis: Participants will learn how to conduct regression analysis to explore relationships between variables and make predictions.
Data Visualization: Participants will learn how to create meaningful visualizations, such as bar charts, pie charts, histograms, and scatter plots, to communicate their data findings effectively.
Reporting and Interpretation: Participants will learn how to interpret and present their data analysis results in a clear and meaningful way, including creating tables and charts for reports.

You Will Learn

By the end of the course, participants will have a solid foundation in using SPSS for data analysis and will be able to confidently apply these skills to their own research or professional projects.

Targeted Students

The data analysis with SPSS course is suitable for individuals who are interested in acquiring the skills and knowledge needed to perform data analysis using SPSS.

The target audience for this course includes:

Researchers: Professionals and academics involved in conducting research studies who need to analyze and interpret data using SPSS.
Students: Students pursuing degrees in fields such as social sciences, psychology, business, healthcare, or any other discipline that requires data analysis.
Analysts: Data analysts or professionals working in market research, business intelligence, or other fields that require data analysis and reporting.
Statisticians: Professionals who want to enhance their knowledge and proficiency in using SPSS for statistical analysis.
Data Managers: Individuals responsible for managing and analyzing data in organizations who want to learn how to use SPSS for data manipulation and analysis.
Educators: Teachers or instructors who want to incorporate SPSS into their curriculum and teach data analysis techniques to their students