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Stata Training in Nepal
Stata Courses in Kathmandu, Nepal
Thousands of students have started their careers after getting certified by Broadway Infosys
Updated On: 27/07/2025
Created On: 17/06/2022
Course Overview
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.
Why Stata Training in Nepal?
Built for Research Fields: Designed specifically for economics, sociology, and political science students, providing practical statistical training for real research work.
Complete Data Management Toolkit: Learn to import, clean, merge, and reshape datasets the essential groundwork behind any solid analysis.
Real Econometrics Skills: Master logistic regression, hypothesis testing, and linear models the statistical methods research and policy work actually demands.
Handle Big, Complex Datasets: Learn to manage mid-sized to large-scale datasets, plus survey and time-series data skills built for serious research projects.
Strong Research Network: Backed by Broadway's connections with research organizations and data management companies, a real pathway to placement.
College/Faculty: Patan Multiple Campus / BSc.CSIT
Working At: BizHub Consulting Service
Position: Front-end Developer
College/Faculty: Gauri Sankhar High School / Management
Working At: Mandolly Tech
Position: Digital Marketer
College/Faculty: National College / BCA
Working At: Ktm Rush Pvt. Ltd.
Position: Graphic Designer
College/Faculty: NCC / BIM
Working At: Riddhasoft Pvt. Ltd.
Position: Front - End Developer
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.
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
- Cross-tabulations and chi-squared tests calculator
- One-sample t-tests calculator
- Two-sample t-tests calculator
- Incidence-rate ratios calculator
- Odds-ratios calculator
- Risk-ratios calculator
- An introduction to the analysis of complex survey data
- Specifying the design of your survey data
- Multilevel models for survey data
- Survey data support for SEM.
- Interval-censored survival models
- Set up your data for survival analysis
- Describe and summarize survival data
- Construct life tables
- Calculate incidence rates and incidence-rate ratios
- Graph survival curves
- Formatting and managing dates
- Time-series operators
- Correlograms and partial correlograms
- Line graphs and tin()
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