Regression Analysis (Data Science using Stata: Complete Beginners Course)

【Ｏｎｌｉｎｅ　Ｃｏｕｒｓｅｓ】

This video explains Regression Analysis without using theory. We will conduct a regression analysis in Stata and interpret the output. In particular, we explore correlations, scatter plots, linear models, OLS, dummies, and predictions.

All the material, including slides, data, and the Stata code, is available on GitHub (see Channel pages for a link).

Chapters
0:00 Welcome & Overview
1:19 Correlations & Scatter Plots
6:23 Distributions & Transformations
7:04 Linear Model
9:48 Ordinary Least Squares (OLS)
16:59 Application using Stata
38:12 Regression Output & Interpretation
46:53 Dummy Variables
52:52 Fitted Values
55:55 Model Assumptions

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

[facemeproject]

Hilarious comment about your mum watching 😅 dry much value your Stata videos. Please keep them coming!

[alexandrejordaochauque]

Another hour well spent. Thanks for sharing. It is a really useful video for data analysis and familiarization with STATA as well.

[souravprasad]

Really liked the video and learned from it. Please make a video on Panel data regression (FE, RE) and also the data cleaning part where we can exclude the data-points with missing values.

[quanitashamoon]

Very informative indeed. But I am struggling with fixing multicollineraity without dropping variables or running variable by variable model. You referred in your video about some advanced techniques. Is there any video available on that or can you guide me through it.

[terryharm]

Is there a video on t-stats and comparing the means between two groups. I also need to compare the means to zero, and compare the medians between two groups

[sergiodtr]

Hi Thank you very much for the course. It is very good so far. Unfortunately I can't advance from here on because the datasets are not available in the folders of Github? Were they removed?

[RRijesh]

When one should use level values or growth rate of the original values in regression?. For example, if you are interested in examining the impact of trade on industrial productivity, which one is preferable to use, the trade values like export/import in level form or in growth form?