SPSS Training

spss training in nepal

SPSS Training

SPSS Training Institute in Kathmandu, Nepal

Mode: Physical & Online Live Classes (Day/Night)
Successful student from Broadway Infosys Mr. Ashish Paudel
Successful student from Broadway Infosys Mr. Apurva Shrestha
Successful student from Broadway Infosys Mr. Shyam Ray
Testimonial from Mr. Ayush Kayastha

Thousands of students have started their careers after getting certified by Broadway Infosys

Updated On: 06/2026

Created On: 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.

Skills you’ll learn

Data Entry & Management : Enter and import data sets, then organize them using SPSS.
Descriptive Statistics : Obtain frequency tables, crosstabs, means, and basic descriptive statistics.
Charts and Visualization : Prepare bar charts, histograms, scatter plots, and box plots to provide data insights.
Data Cleaning : Handle missing data, recode variables, filter records, and select cases.
Hypothesis Testing : Carry out t-tests, chi-square tests, and ANOVA, and interpret the p-values.

Benefits of SPSS Training

  • High demand for statistics-focused individuals.
  • Job opportunities after being qualified.
  • Chances of interning or working in international companies.
  • Statistics specialists are in high demand in modern Nepal.
  • Data gathering and analysis for high-end companies.

Benefits of SPSS Training at Broadway Infosys

  • Personalized feedback on the project.
  • Wide access to course materials.
  • Highly qualified and experienced instructors.
  • Motivation and encouragement.
  • Regular interaction with experienced data analysts involved in working with SPSS on their projects.
  • Comprehensive training methodology.
  • The overall emphasis on practical approach training.
  • Proper instruction and guidance for interpretation of statistical results while performing data analysis.

Our Student’s Voice

Hear from graduates who have completed our courses.

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Mr. Jhalak Poudel

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...
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Mr. Tirtharaj Dhungana

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...
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Nabin Poudyal

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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Success Stories From our Graduates

Hear from graduates who have completed our courses.

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Successful student from Broadway Infosys Mr. Ashish Paudel
Mr. Ashish Paudel
Course: Web Design Training

College/Faculty: Himalayan WhiteHouse International College / BIT

Working At: COL Thinkspace

Position: Front - End Developer

Successful student from Broadway Infosys Mr. Apurva Shrestha
Mr. Apurva Shrestha
Course: Python & Django Training

College/Faculty: Nepal College of Information Technology ( NCIT) / Bachelors In Information Technology

Working At: Ankya

Position: Jr. Software Engineer

Successful student from Broadway Infosys Mr. Shyam Ray
Mr. Shyam Ray
Course: Digital Marketing 360° Training

College/Faculty: Xavier International College / Science

Working At: Paani Digital Marketing

Position: Digital Marketing Associate

Testimonial from Mr. Ayush Kayastha
Mr. Ayush Kayastha
Course: Flutter Framework Training

College/Faculty: Pokhara University / Bachelor of Computer Engineering

Working At: Bajra Technologies

Position: Jr. Software Engineer

Our graduates are hired by 470+ companies in Nepal

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!

  • 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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