Stata Training in Nepal

Stata Courses in Kathmandu, Nepal

Mode: Physical & Online Live Classes (Day/Night)

More than 19000+ students have started their career after getting certified from Broadway Infosys.

Updated On: 04/2026

Created On: 06/2022

Course Overview

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STATA (Software for Statistics and Data Science) is an integrated software package that helps you in your data science needs. If you are in research profession and willing to take STATA Training in Nepal, Broadway is an ideal destination. This course is designed for those students who are in the fields of economics, sociology, and political science. Thus, STATA training will help you grow in your professional life. STATA is affordable, easy to use, learn, and the trainees learn essential skills to use all the feature of data management, graphics, and statistics needed for graphic visualization and modeling of large data sets. Broadway Infosys has excellent instructors and fully equipped training labs to help students pursue the world class STATA training in Nepal.

Our network with several research based organizations and data management focused companies is the key to our students’ placement. Please feel free to connect us via our website, social media or directly visit us. We want to make sure you secure your seats at the earliest for our upcoming STATA training session.

Benefits of Stata Training in Nepal

Here are the key benefits of learning STATA:

Learn to use a broad suite of statistical tools and features
Work with compatible versions of the STATA software
Handle datasets ranging from mid-sized to large-scale
Understand and apply linear models and data wrangling techniques
Acquire skills in data documentation and graphic visualization
Manage multiple datasets simultaneously
Process both text and binary data efficiently

Benefits of Stata Training in Nepal at Broadway Infosys

Joining our internationally recognized STATA training offers the following advantages:

Training led by professional instructors with extensive industry experience
Affordable course fees to make learning accessible
Comprehensive training methodology combining theory and practical application
Access to well-equipped labs and ample training materials
Preparation for success in a competitive IT and data analysis job market
Scholarships are available for deserving and needy students
Hands-on project work supervised by industry experts
Job placement support for top-performing trainees

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.

Find a Role

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:

Stata basics

Tour of the Stata 14 interface
Quick help
PDF documentation
Example datasets included with Stata

Loading, saving, importing, and exporting data
Importing FRED (Import Federal Reserve Economic Data)
Copy/paste data from Excel into Stata
Importing Excel data into Stata
Saving estimation results to Excel
Importing delimited data
Changing and renaming variables
Converting a string variable to a numeric variable
Converting categorical string variables to labeled numeric variables
Creating a categorical variable from a continuous variable
Converting missing value codes to missing values
Combining data
Merging files into a single dataset
Appending files into a single dataset
Creating and dropping variables
Creating a new variable that is calculated from other variables
Identifying and replace unusual data values
Creating a date variable from a date stored as a string
Optimizing the storage of variables
Rounding a continuous variable
Stata's Expression Builder
Examining data
Identifying and remove duplicate observations
Labeling, display formats, and notes
Labeling variables
Labeling the values of categorical variables
Changing the display format of a variable
Adding notes to a variable
Reshaping datasets
Reshaping data from wide format to long format
Reshaping data from long format to wide format
Strings
Unicode

Transparency in Stata graphs
Bar graphs
Box plots
Contour plots
Histograms
Pie charts
Basic scatterplots
Stata's Expression Builder

Creating PDF reports from within Stata
Creating Word documents from within Stata

Logistic regression in Stata, part 1: Binary predictors
Logistic regression in Stata, part 2: Continuous predictors
Logistic regression in Stata, part 3: Factor variables
Regression models for fractional data
Logit and Probit Models

One-sample t-test
t-test for two paired samples
t-test for two independent samples
Descriptive statistics
Tables and cross-tabulations
Combining cross-tabulations and descriptive
Pearson’s chi2 and Fisher’s exact test

One-way ANOVA
Two-way ANOVA
Analysis of covariance
Simple linear regression
Pearson’s correlation coefficient

An introduction to power and sample size
Sample-size calculation for comparing a sample mean to a reference value
Sample-size/power calculation for comparing a sample proportion to a reference value
Sample-size/power calculation for comparing sample means from two paired samples
Sample-size/power calculation for one-way analysis of variance