Data Management and Analysis with Stata. by Udemy
2 in 1: Learn Stata and Statistics. A Comprehensive and Intuitive Guide for a Beginner.
Course Highlights
- Get famililar with environment of stata
- Understand the syntax structure and the five fundamental commands
- Create new variables, replace and recode values in existing variables
- Handle missing data, apply variable and value labels, and work with string variables
- Compute and interpret descriptive statistics including mean, standard deviation, range, skewness, kurtosis and percentiles
- Compute and interpret correlations, one and two-sample t tests, construct multivariate means graphs
- Analysis of variance (ANOVA)
- Scatter plots, simple linear regression, multiple linear regression, regression with dummy variables
- Interpreting regression output and hypothesis testing
Skills you will learn!
Curriculum
7 Topics
The Course Overview
Obtaining Stata
Section One Resources
Stata's Main Screen and Multiple Windows
Browse Edit Enter and Import Data
Types of Variables
Changing Working Directory
11 Topics
The Section Two Resources
The Basic Command Structure
Practice: Stata's Command Syntax
The Tabulate Command
Practice: The Tabulate Command
The Summary Command
The Generate Command
The Replace Command (1)
The Replace Command (2)
The Recode Command
The Rename Drop Keep and Display Commands
10 Topics
The Section Three Resources
Motivation for using Do-File
Opening and Using Do-File
Practice with Do-File
The Variable and Value Labels
Missing Data (1)
Missing Data (2)
String Variables (1)
String Variables (2)
End of String Variables and Saving Results
6 Topics
The Section Four Resources
Descriptive Statistics for Nominal and Ordinal Variables
Producing Histogram
Summary Statistics for Interval and Ratio Variables
Variance Skewness Kurtosis Range and Percentiles
Tabstat Command to control Quantity and Output
7 Topics
The Section Five Resources
Necessary Background for Hypothesis Testing and Types of Variables
Getting Data Ready for Hypothesis Testing (1)
Getting Data Ready for Hypothesis Testing (2)
Chi-Square Test for Hypothesis Testing
Measures of Association / Relationship between Nominal / Ordinal Variables
Elaboration (To analyse the effect of an additional variable)
8 Topics
The Section Six Resources
Differentiate Variables and the Main Research Question
Handling Legitimately Skipped Cases
Constructing and Interpreting a Confidence Interval
One Sample t Test
Two Samples t Test (1)
Two Samples t Test (2)
Analysis of Variance (ANOVA)
10 Topics
The Section Seven Resources
Scatterplot
Correlation (1)
Correlation (2)
Understanding Regression
Simple (Bivariate) Linear Regression (1)
Simple (Bivariate) Linear Regression (2)
Multiple Linear Regression
Predicted/Fitted Values and Residuals
A Dichotomous Variable in Multiple Linear Regression
8 Topics
Section Eight Resources
List Summarize and Scatter Graph
Fitted Values Residuals and Regression Line
A Quadratic Regression Model (1)
A Quadratic Regression Model (2)
A Log-Linear Regression Model
A Regression using Indicator Variables (1)
A Regression using Indicator Variables (2)
Data Management and Analysis with Stata.
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