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SPSS Training
SPSS Training Institute in Kathmandu, Nepal
Thousands of students have started their careers after getting certified by Broadway Infosys
Updated On: 17/07/2026
Created On: 05/04/2018
Course Overview
SPSS, originally known as Statistical Package for Social Sciences, has now become a leading, powerful statistical software which is now not just limited to original field but widely used to solve a variety of research and business matters and problems in different field. This is a package of solution designed to expand your analytical knowledge and capabilities providing a range of statistical techniques along with hypothesis testing, analysis and reporting. This ultimately makes it easier to access data, manage them, and then select required techniques to perform analysis and share the final output results.
SPSS training courses provides full coverage of SPSS statistics from fundamentals to data management, statistical analysis with interpretation of results, statistical methods and techniques for survey analysis.
SPSS training course is specifically designed to support aspiring surveyors, statisticians and professionals involved in research, data management and data analysis. The course is designed for those students who are looking for having a clear idea and make use of SPSS software to perform their statistical works making the data management and analysis easy and accurate.
Broadway has designed the standard SPSS learning course that includes basic introduction to SPSS giving you the clear idea of fundamentals and then slowly progress you towards data management and analytical parts. It has really become essential to take help of software with the increasing number and complexity of data nowadays and requirement of quick delivery of results has made it even more essential.
Why SPSS Training?
Statistical Analysis Skills: Learn SPSS to organize, analyze, and interpret data using statistical methods.
Data Management: Work with datasets efficiently by entering, cleaning, organizing, and preparing data for analysis.
Statistical Testing: Learn to perform common statistical tests and understand their results for research and decision-making.
Data Visualization: Create clear tables, charts, and graphs to present statistical findings effectively.
Practical Research Skills: Apply SPSS techniques to real-world research and data analysis scenarios.
Career-Ready Knowledge: Build useful skills for research, business analysis, academics, social sciences, and data-driven roles.
Our Student’s Voice
Hear from graduates who have completed our courses.
Mr. Jhalak Poudel
SPSS Training
I am happy with both teacher and Broadway Infosys in Nepal. In the past, I also undertook an SPSS course with this institution, that is why I have chosen it again this time. Drawing from the experiences of both these...
Mr. Tirtharaj Dhungana
SPSS Training
It was good from the point of view of content delivery and applicability in the field of data analysis and research for carrying out quantitative analysis using the established analysis models and procedures e.g., for carrying out both parametric and...
Nabin Poudyal
SPSS Training
I feel Broadway Infosys Nepal meets the requirements of students looking for computer training institute. Teachers at Broadway Infosys create a bond between them and their students, which is the foundation of trust. I feel my tutor was very humble and...
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Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
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Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!
Lesson 1:
- SPSS windows
- Define data properties.
- Create data entry template using sample questionnaire.
- Data entry and cleaning practice.
- Handling the different formats of the dataset.
- Open new SPSS data & syntax.
- Save SPSS data, syntax & output.
- Open data of different format & save in different format.
- Make data file password protected.
- Export pivot tables, charts, logs.
- Generate all variable information and all data value labels in table.
- Customize the variable view.
- Insert variables/cases in data.
- Change the pivot table format.
- Find & replace.
- Go to exact variable and case number.
- Sort ascending descending and multiple variable sorts.
- Change the file locations to your folder.
- Shown & Hidden log, notes.. in output.
- Create duplicate dataset.
- Copy data properties for partial/all dataset.
- Identify duplicate cases/ identify unusual cases.
- Sort variables & transpose data.
- Merge two or more files into one.
- Define multiple response sets.
- Dichotomous
- Categories
- Compare dataset for
- Change log
- Find accidental modification
- Use aggregate/ restructure feature.
- Use feature split file
- Select cases
- Conditional feature selection
- Random cases selection ( approximate/ exact sampling)
- Use of filter variable
- Handle selected cases with same/different/delete features.
- Weight cases(calculation/application).
- Generate random numbers.
- Use recode feature
- Automatic recode
- Recode in to same variable
- Recode in to different variable
- Use compute variable to compute new variable.
- Use of string functions.
- Binning for automatic categorization of data.
- Date and time wizard
- Duration calculation
- Calculate age from DOB.
- Add and subtract days/years/months.
- Rank cases
- Create time series dataset.
- Generate codebook of the specific variable.
- Find the frequencies of items.
- Generate multi- level custom tables.
- Generate descriptive statistics from data.
- Generate descriptive from supplied variable.
- Generate the custom table with title, total, subtotal & not empty values with excluding variable.
- Calculate column percentage, row percentage.
- Calculate mean, median & minimum values of a scale variable.
- t-test
- One- sample
- Independent sample
- Paired sample
- Correlation (Bivariate)
- Regression
- Linear regression
- Logistic regression
- Reliability analysis.
- Chi-square test
- One sample
- Test of independence
- Non-parametric test
- Generate charts for different types of dataset.
- Use chart editor.
- Export charts.
- Working with syntax.
- Window Split for large dataset.
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