Quantitative Data Management and Analysis with STATA

 

Quantitative Data Management and Analysis with STATA on 31st October to 4th November 2022

Course calendar

Introduction

 

Stata refers to statistical software which is used in the management of data, analysis, and graphics. It comprises of advanced functions which includes forecasting, survival analysis, data analysis, and time series analysis and survey methods. It can be utilized via graphical interface using very intuitive language. It benefits from the active user community which gives its support on a dedicated mailing.

 

Course Objective:

 

·         Workflow use commands

 

·         Manage, edit and structure large databases

 

·         Generating descriptive statistics

 

·         Creating powerful publication-quality graphs.

 

·         Data Analysis/Estimations  

 

Duration

 

5 days

 

Who should attend?

 

Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with stata.

 

Course content

 

Introduction to Statistical concepts and general analytics

 

• Research design
• Samples and populations
• Comparison of experimental and non-experimental designs
• Exploring variable types

 

Familiarizing with the application

 

• Datasets
• Commands
• Working with variables in Stata
• Basic analysis using Stata

 

Charting and Graphical presentation using Stata

 

• Classifying different charts and processing them using STATA
• Understanding the Graph command syntax
• Graphs for categorical Vs Numeric variables
• Managing chart output in STATA
• Multivariate charting

 

Statistical Tests using Stata

 

• One Sample T Test
• Independent Samples T Test
• Paired Samples T Test
• One-Way ANOVA

 

Measures of Associations in Stata

 

• Chi-Square test
• Pearson's Correlation
• Spearman's Rank-Order Correlation

 

Predictive Models using Stata

 

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

 

Panel Data Analysis using Stata

 

• Exploration of panel data
• Fixed effects model/LSDV
• Random effects model
• Choosing the appropriate model

 

Time Series Analysis using Stata

 

• Introduction to time series analysis using Stata
• Plotting a time series
• Seasonal differences
• Auto correlations
• Forecast models in Stata

 

Econometric Analysis

 

• Econometric Analysis of cross-sectional data
• Econometric Analysis of panel data
• Econometric Analysis of time-series data