Data Management And Analysis With Stata

2 in 1: Learn Stata and Statistics. A Comprehensive and Intuitive Guide for a Beginner.

Last updated 2022-01-10 | 4.3

- 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

What you'll learn

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

* Requirements

* To install Stata on your machine.

Description

Note: The course is COMPLETE now.

This course, extended over seven sections, provides a comprehensive introduction to Stata and Statistics. The aim of the course is to teach all the variables, and the relevant Stata commands, used in Statistics. These variables are nominal, ordinal, interval, and ratio variables.

There are two alternative ways to undertake the course.

1. If you have a basic understanding of Stata, you can directly start from section 3, which teaches Data Management. You should then proceed to section 4 on Descriptive Statistics, which is common to all types of research. Section 5 analyses a relationship and interprets it between Nominal/Ordinal variables. Examples of these types of variables are gender, race, employment status, ethnicity, levels of satisfaction, customer service quality, hair color, and religion among others. Section 6 investigates a relationship and interprets it between the Nominal/Ordinal variable and the Interval/Ratio variable. Section 7 finds an effect of one Interval/Ratio variable on another Interval/Ratio variable. Examples of these types of variables are age, income, prices, exam scores, temperature, distance, and area among others. Note: If you adopt this strategy, you may need to go back to the second section, if you have any trouble understanding a particular Stata command in sections 3, 4, 5, 6, and 7. The advantage of this strategy is you will study the more important content first.

2. Alternatively, you can follow the exact order of the course, starting from section 1 and then proceeding to the next section until you reach the section 7. If you follow this strategy, make sure you do not give up in the middle of the course. The research shows that, and this course is not an exception, some students do not complete the entire course. In this course, the first 3 sections are meant to prepare you for the next 4 sections. Therefore, quitting in the first half of the course will deprive you of the intended benefits.

Whichever alternative you choose, you must download the resources and practice with me during the lectures. In addition, you must attempt all exercises given at the end of each section.

Captions: Each video/lecture is accompanied by accurate captions to enhance your comprehension of the course contents.

Resources: You will be provided with a separate data set for each section to practice with me during the lectures. You will also be given a separate data set to attempt the exercises at the end of each section. You will obtain five do-files, one on data management, and the remaining four on data analysis. The only prerequisites for the course are to install Stata on your computer and remain committed.

Good Luck!