SPSS Masterclass: Learn SPSS From Scratch to Advanced from Udemy

Data is the new frontier of 21st century. According to a Harvard Business Report (2012) data science is going to be the hottest job of 21st century and data analysts have a very bright career ahead. This course aims to equip learners with ability of independently carrying out in-depth data analysis with professional confidence and accuracy. It will specifically help those looking to derive business insights, understand consumer behaviour, develop objective plans for new ventures, brand study, or write a scholarly articles in high impact journals and develop high quality thesis/project work.

A good knowledge of quantitative data analysis is a sine qua none for progress in academic and corporate world. Keeping this in mind this course has been designed in such way that students, researchers, teachers and corporate professionals who want to equip themselves with sound skills of data analysis and wish to progress with this skill can learn it in in-depth and interesting manner using

Lesson Outcomes

On completion of this course you will develop an ability to independently analyze and treat data, plan and carry out new research work based on your research interest. The course encompasses most of the major type of research techniques employed in academic and professional research in most comprehensive, in-depth and stepwise manner.

Pedagogy

The focus of current training program will be to help participants learn statistical skills through exploring SPSS and its different options. The focus will be to develop practical skills of analyzing data, developing an independent capacity to accurately decide what statistical tests will be appropriate with a particular kind of research objective. The program will also cover how to write the obtained output from SPSS in APA format.

Pre-requisite

A love for data analysis and statistics, research aptitude and motivation to do great research work.

What's inside

Learning objectives

Analyse any type of numerical data using spss with confidence
Independently plan your research study and data analysis from scratch.
Understand the research design and results presented in high quality journal articles
Do data analysis accurately and present the results in apa format.
Data entry and data cleaning in spss
Data organization using spss
Data transformation using spss
Sample as well as population level descriptive analysis using spss
Analysis of group differences using t-test and anova
Linear and multiple regression analysis in spss
Hierarchical and advanced regression analysis in spss
Logistic regression
Exploratory factor analysis (efa)
Chi-square and measures of association
Reliability analysis and scale validation using spss

Graphical representation and advanced data visualization using spss
Moderation and mediation analysis using process macro in spss
General linear modelling vs. generalized linear modelling in spss
Repeated measure anova
Correlational analysis in spss
Analysis of associations in spss
Analysis of covariance (ancova)
Multivariate analysis of variance (manova)
Spss programming using python
Ratio statistics in spss
Turf analysis in spss
Survival analysis
Meta analysis
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Analyse any type of numerical data using spss with confidence
Independently plan your research study and data analysis from scratch.
Understand the research design and results presented in high quality journal articles
Do data analysis accurately and present the results in apa format.
Data entry and data cleaning in spss
Data organization using spss
Data transformation using spss
Sample as well as population level descriptive analysis using spss
Analysis of group differences using t-test and anova
Linear and multiple regression analysis in spss
Hierarchical and advanced regression analysis in spss
Logistic regression
Exploratory factor analysis (efa)
Chi-square and measures of association
Reliability analysis and scale validation using spss
Graphical representation and advanced data visualization using spss
Moderation and mediation analysis using process macro in spss
General linear modelling vs. generalized linear modelling in spss
Repeated measure anova
Correlational analysis in spss
Analysis of associations in spss
Analysis of covariance (ancova)
Multivariate analysis of variance (manova)
Spss programming using python
Ratio statistics in spss
Turf analysis in spss
Survival analysis
Meta analysis
Show more
Show less

Syllabus

Dataset & Resources

Practice dataset, PPT and Resources

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Data Entry: Learning to Enter Data in SPSS

This lecture gives an overview of various types of data files that can be opened in SPSS Statistics.

In this lecture you will learn how to open an Excel data file in SPSS.

In this lecture you will lean how to open a CSV file type in SPSS using data import wizard.

Traffic lights

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what should give you pause

and possible dealbreakers

Covers advanced statistical techniques like MANOVA, survival analysis, and meta-analysis, which are essential for researchers and data analysts working on complex datasets

Teaches how to present results in APA format, a standard for scholarly writing, making it highly valuable for academics and professionals who need to publish their findings

Begins with data entry and cleaning, then progresses to advanced topics, which builds a strong foundation for learners with varying levels of experience in data analysis

Emphasizes the practical application of SPSS through hands-on exercises and examples, which helps learners develop proficiency in using the software for data analysis

Includes moderation and mediation analysis using the PROCESS macro, which is a valuable tool for researchers exploring complex relationships between variables

Uses SPSS, and learners should be aware that the interface and functionalities may differ slightly from newer versions, potentially requiring some adaptation

Reviews summary

Comprehensive spss from beginner to advanced

According to students, this course provides a comprehensive and step-by-step guide to using SPSS for data analysis. Learners appreciate the clear explanations and practical examples, which help make complex statistical concepts understandable. The course is often described as an excellent resource for beginners looking to learn SPSS from scratch, covering a wide range of topics from basic data entry to more advanced procedures like regression and factor analysis. Some students noted that while the coverage is broad, the pace might feel slightly fast for complete novices, and some very advanced topics could benefit from deeper exploration. Overall, reviews indicate the course is a valuable investment for anyone needing to master SPSS for academic research or professional applications.

Excellent for academic/thesis work.

"This course is highly relevant for anyone doing academic research or working on a thesis."

"It gave me the confidence to conduct the data analysis required for my project."

"The guidance on APA formatting for output was particularly useful for my thesis write-up."

"Perfect for students and researchers needing practical SPSS skills."

Demonstrations using real-world data.

"The practical examples and demonstrations are very helpful in understanding how to apply the concepts."

"Using actual datasets makes the learning much more concrete and applicable."

"The demos showing exactly where to click and what output means were invaluable."

"I can immediately use the techniques demonstrated on my own data."

Easy to follow instructions in SPSS.

"The instructor explains everything in a step-by-step manner, which is very easy to follow."

"The explanations are clear and concise, making even complicated procedures simple."

"Very well structured and easy to follow, perfect for visual learners who need guided steps."

"I appreciated the clarity of the demonstrations within the SPSS interface."

Covers wide range of SPSS topics.

"The course covers all the topics from basic to advanced level in a very comprehensive manner..."

"I found this course to be a complete guide for learning SPSS, starting from scratch..."

"It really does take you from beginner concepts through quite advanced statistical procedures using SPSS."

"This course covered everything I needed to get a solid handle on using SPSS for my research."

Some advanced topics could be deeper.

"It covers advanced techniques, but for true mastery, I might need a more in-depth course specifically on those topics."

"Good overview of advanced methods, but not exhaustive for complex scenarios."

"The section on factor analysis was a good introduction, but left me wanting more detailed guidance."

Some felt pace too fast initially.

"As a complete beginner, I felt the pace was a bit fast in some early sections and needed to pause/rewatch."

"It's great for going from scratch, but be prepared to rewind if you're new to both stats and SPSS."

"While it starts 'from scratch', having some basic stats familiarity helps with the speed."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in SPSS Masterclass: Learn SPSS From Scratch to Advanced with these activities:

Review Basic Statistics Concepts

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Reinforce your understanding of fundamental statistical concepts. A solid grasp of these concepts is crucial for effectively using SPSS and interpreting its output.

Browse courses on Hypothesis Testing

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Review textbooks or online resources on basic statistics.
Work through practice problems related to hypothesis testing and descriptive statistics.
Summarize key concepts and formulas for quick reference.

Practice Data Entry and Cleaning in SPSS

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Improve your proficiency in data management within SPSS. This will save time and reduce errors when working on real-world datasets.

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Download sample datasets from online sources.
Practice entering data from different file formats (e.g., Excel, CSV) into SPSS.
Use SPSS functions to identify and correct errors in the data.

Review 'Discovering Statistics Using SPSS' by Andy Field

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Supplement your learning with a comprehensive statistics textbook that uses SPSS. This book provides detailed explanations and examples of various statistical techniques.

View Discovering Statistics Using JASP on Amazon

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Read relevant chapters corresponding to the course syllabus.
Work through the examples provided in the book using SPSS.
Attempt the exercises at the end of each chapter to test your understanding.

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Follow SPSS Tutorials on YouTube

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Enhance your learning by watching video tutorials on specific SPSS functions. Visual demonstrations can often clarify complex concepts.

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Search for tutorials on topics covered in the course syllabus.
Follow along with the tutorials, replicating the steps in SPSS.
Take notes on key concepts and techniques demonstrated in the tutorials.

Review 'SPSS Survival Manual' by Julie Pallant

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Use a practical guide to SPSS for quick reference and troubleshooting. This manual provides step-by-step instructions for performing various statistical analyses.

View SPSS Survival Manual on Amazon

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Consult the manual when encountering difficulties with specific SPSS functions.
Follow the step-by-step instructions to perform the desired analysis.
Pay attention to the interpretation of the output and how to report the results.

Create a Data Analysis Report

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Solidify your understanding by applying SPSS to a real-world problem. This will help you develop your data analysis and interpretation skills.

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Choose a dataset related to your field of interest.
Formulate a research question that can be answered using the data.
Use SPSS to analyze the data and generate relevant statistics and graphs.
Write a report summarizing your findings and interpretations.

Design a Research Study

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Apply your knowledge by designing a research study from scratch. This will help you understand the entire research process, from formulating a hypothesis to analyzing data.

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Identify a research topic and formulate a clear research question.
Develop a research design, including the selection of participants and data collection methods.
Plan the data analysis techniques you will use to answer your research question.
Write a detailed research proposal outlining your study.

Career center

Learners who complete SPSS Masterclass: Learn SPSS From Scratch to Advanced will develop knowledge and skills that may be useful to these careers:

Data Analyst

A data analyst uses statistical methods and data analysis tools, frequently including software such as SPSS, to interpret data sets and offer insights. This course will help a data analyst learn how to use SPSS for data entry, cleaning, and transformation. The course also provides training on descriptive analysis including mean, median, and mode. It covers inferential statistics which can be highly valuable to a data analyst including t-tests, ANOVA, and regression analysis so that they can gain a deeper understanding from data. This course may be useful for anyone looking to build a foundation in statistical analysis for a career as a data analyst.

See salaries and explore the career path for Data Analyst

Market Research Analyst

Market research analysts often utilize statistical software to examine consumer and market trends and provide recommendations to increase a company's market performance. This course on SPSS will enable a market research analyst to perform analyses such as linear and multiple regression, which are often used in analyzing market data. By taking this course a market research analyst can also learn how to carry out reliability analysis to test the reliability of data-gathering instruments such as questionnaires. This course could be helpful for anyone looking to acquire practical data analysis skills to be successful as a market research analyst.

See salaries and explore the career path for Market Research Analyst

Research Scientist

A research scientist designs and conducts research projects, often utilizing statistical analysis to interpret results. This course is particularly relevant as it covers many statistical tests that are frequently used in research including t-tests, ANOVA, and various types of regression. A research scientist will also find this course helpful due to the coverage of exploratory factor analysis and reliability analysis. This course may be useful to someone who seeks to become a research scientist by enhancing their ability to independently plan and execute research projects.

See salaries and explore the career path for Research Scientist

Academic Researcher

An academic researcher conducts scholarly research, often involving the analysis of quantitative data. This course on SPSS is helpful for an academic researcher to analyze data, develop research plans, and present results in APA format. The course also covers many statistical methods used in academic research such as t-tests, ANOVA, regression, factor analysis, and tests of association. This course may be useful for an academic researcher to develop a comprehensive understanding of data analysis techniques.

See salaries and explore the career path for Academic Researcher

Statistician

Statisticians are experts in the collection, interpretation, and analysis of numerical data. This course helps a statistician better understand how to perform a variety of statistical analyses using SPSS, a frequently used software in the field. The course provides a hands-on experience with techniques such as t-tests, ANOVA, linear and hierarchical regression, and even factor analysis. This course may be useful for anyone seeking to learn practical skills needed to be a statistician.

See salaries and explore the career path for Statistician

Business Intelligence Analyst

A business intelligence analyst analyzes data to identify trends and help businesses make more informed decisions. This course can help someone become a business intelligence analyst by providing training on data analysis using SPSS including techniques like regression analysis, which is helpful in recognizing patterns in data. The course also covers data cleaning and transformation which are often necessary first steps before any type of analysis. This course may be useful for a business intelligence analyst to learn the practical skills needed to analyze data.

See salaries and explore the career path for Business Intelligence Analyst

Quantitative Analyst

Quantitative analysts, often called quants, use mathematical and statistical methods to analyze financial data. This course focusing on practical methods of data analysis in SPSS can be useful for quantitative analyst. This course covers various forms of regression which are critical in financial analysis, and the training in data transformation will also help an analyst prepare data for analysis. The course may be helpful for a quantitative analyst in developing strong practical skills of data analysis.

See salaries and explore the career path for Quantitative Analyst

Social Science Researcher

Social science researchers use quantitative and qualitative methods to study societal trends and human behavior. This course is helpful for a social science researcher to learn how to use SPSS to analyze data and to develop the practical skills to execute research. With its in-depth coverage of statistical methods such as t-tests, ANOVA, various types of regression, and factor analysis, this course is designed to help any researcher perform sound statistical analysis. This course may be useful to a social science researcher as it provides a thorough introduction to data analysis.

See salaries and explore the career path for Social Science Researcher

Survey Researcher

A survey researcher designs and conducts surveys, and they analyze responses to interpret their results. This course is helpful to a survey researcher, providing training on data analysis using SPSS, a commonly used software in survey research. This course covers techniques for analyzing group differences such as t-tests and ANOVA, and also includes reliability analysis, which is needed to validate surveys. This course may be useful for a survey researcher to develop a strong quantitative analysis skillset.

See salaries and explore the career path for Survey Researcher

Policy Analyst

Policy analysts use data to analyze policy issues and make policy recommendations. This course, which provides training on statistical analysis using SPSS, may be useful for a policy analyst by enhancing their ability to evaluate data in policy research. The course offers instruction in a range of statistical methods including regression analysis, analysis of variance, and tests of association. A policy analyst can use this course to make sound recommendations based on data.

See salaries and explore the career path for Policy Analyst

Evaluation Specialist

An evaluation specialist uses both qualitative and quantitative methods to assess the effectiveness of a program or product. This course may be helpful for an evaluation specialist as it teaches how to use SPSS to perform various statistical analyses. The course covers data entry and cleaning, descriptive statistics, and inferential statistics including t-tests, ANOVA, multiple regression, and analysis of associations. These are all techniques that an evaluation specialist might use when evaluating a program or product. This course may be useful for an evaluation specialist in building practical data analysis skills.

See salaries and explore the career path for Evaluation Specialist

Data Scientist

Data scientists use a combination of programming, statistical, and analytical skills to extract meaning from data. This course focusing on SPSS may be useful for a data scientist. The course provides training in descriptive and inferential statistics as well as more advanced techniques such as factor analysis, which are all skills that a data scientist might use. It also covers data cleaning and transformation as well as how to present results in APA format. This course may be useful for a data scientist looking to develop a strong base in statistical analysis.

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Psychometrician

A psychometrician develops and evaluates tests and measures that are used in psychological and educational research and the course on SPSS may be useful to a psychometrician. The course will help a psychometrician learn how to perform reliability analysis and scale validation that are important for test development and validation. The course also includes exploratory factor analysis, which can help determine the underlying dimensions of a test and ensure that it is measuring the intended constructs. This course may be useful for developing the necessary data analysis skills for a psychometrician.

See salaries and explore the career path for Psychometrician

Healthcare Analyst

A healthcare analyst examines healthcare data to improve patient care and operational efficiency. This course, focused on SPSS, may be helpful to a healthcare analyst as it covers core data analysis tasks such as data cleaning and transformation, descriptive statistics, and inferential statistical techniques like t-tests, ANOVA, and regression analysis. These skills are all useful for a healthcare analyst when interpreting healthcare data and extracting insights. This course may be useful for a healthcare analyst who needs to build a practical skill set in statistical data analysis.

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Consultant

Consultants provide expert advice and strategic solutions to clients often based on data analysis. This course in SPSS may be useful to a consultant by providing a comprehensive understanding of data analysis techniques. The course covers a variety of statistical methods, including linear and multiple regression as well as exploratory factor analysis, which a consultant might use when analyzing data to generate solutions for their clients. With this course, a consultant can build practical skills in data analysis to excel at consulting.

See salaries and explore the career path for Consultant

SPSS Masterclass

Learn SPSS From Scratch to Advanced

What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive spss from beginner to advanced

Activities

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