DataScienceStata reviews and mentions
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Data Science using Stata: Complete Beginners 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. All the material, including slides, data, and the Stata code, is available on GitHub (https://github.com/GerhardKling/DataScienceStata).
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GerhardKling/DataScienceStata is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of DataScienceStata is Stata.
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