Descriptive Analysis: Worked Example (Data Science using Stata: Complete Beginners Course)

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Now it is your turn! Go to GitHub (see channel pages for link) download the data and try to answer the questions for Workshop 1 (see slides - also on GitHub).

This video will walk you through a Descriptive Data Analysis step-by-step. We generate new variables, display descriptive statistics, and explore large survey data.

About the course
This course offers a complete introduction to Data Science. You do not have to have any background in statistics, mathematics or the use of software (Stata). We will cover a wide range of topics, including (1) Introduction to statistical models and Stata, (2) Exploring data, (3) Regression analysis, (4) Post estimation analysis, (5) Analysing panel data, (6) Binary choice models, (7) Model specification, and (8) Measuring the immeasurable: CFA (confirmatory factor analysis) and SEM (structural equation models). The academic version of this course was developed using the title “Analysing Qualitative and Quantitative Data” at SOAS University of London (2015-2019). A much more applied version was created for HMRC and delivered from 2012 to 2015. This version is a very applied and hands-on experience in data science – modified for YouTube.

The channel
YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages, including Python, Stata, and C++, to tackle problems and for fun.

Hashtags
#datascience #dataanalytics #stata