【Ｏｎｌｉｎｅ Ｃｏｕｒｓｅｓ】
⚡Getting Started with Stata: (24 lectures + 4 assignments = 5.5 hours content): available on Udemy: www.udemy.com/...
⚡Applied Time Series using Stata (29 lectures + 4 assignments = 6.5 hours content): available on Udemy: www.udemy.com/...
This video comes with a TRIGGER WARNING! It contains mathematics, which some viewers might find distressing. I explain how the serial correlation test developed by Wooldridge (2002) can be derived. We cover the null hypothesis and related assumptions, iid distributed error terms, covariance and variance formulas. We also highlight linear operators and their properties. There is a little surprise at the end of the video!
All the material, including slides, data, and the Stata code, is available on GitHub (see Channel pages for a link).
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 RU-vid.
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
20 сен 2024
