Stata Training in Nepal

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.

Benefits of STATA Training in Nepal

As data is the most crucial thing in this era, learning to manipulate data will make you a highly demanded professional. Therefore, STATA can help you in smart data manipulation, visualization, statistics, and reproduce reporting too. To achieve your aim of becoming a skilled data analyst, the course offers the benefits as below:

Learn to use broad suite of statistical features
Learn to use compatible Version of STATA
Handle mid-sized dataset to large datasets
Understand Linear models and Data wrangling
Acquire skills of data documentation and graphic visualization
Learn about advanced programming and automatic multi-cores support
Manage multiple datasets simultaneously
Process text or binary data etc.

Benefits of STATA Training at Broadway Infosys Nepal

We are driven towards building skilled individuals in STATA and further add credentials to the students’ portfolio. To ensure your personal and professional development, you are heartily welcome to join Broadway for international standard STATA training course and experience the best we have to offer. You are provided with below benefits while pursuing this course at our training institute:

Professional instructors with plenty of experience.
Affordable training costs.
Comprehensive training methodology.
Wider access to training equipment and materials.
Prepare oneself for the competitive IT market.
Scholarship to deserving and needy students.
Project Work under supervision of industry experts
Job placement opportunities for ace trainees.
Career opportunities for candidates wanting to specialize in data analysis

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.

Pre-requisites for Stata Training in Nepal

Students must have basic computer skills and a genuine interest to take this course. Having introductory knowledge of statistics is helpful, however it is not mandatory.

Courses Outline :- Stata Training in Nepal

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Syllabus of Stata Training

Stata basics

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

Data management

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

Graphics

Automated document and report creation

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

Econometrics and Binary, ordinal,count,fractional outcomes

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

Hypothesis tests & Descriptive statistics, tables, and cross-tabulations

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

Linear models

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

Power and sample size

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