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TUTBB · Mar 15, 2023

Free Download The Complete Guide To Stata
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.23 GB | Duration: 25h 52m
Learn how to master Stata like a professional

Free Download What you'll learn
An essential introduction to Stata
Data manipulation in Stata
Data analysis in Stata
Regression modelling
Stata code
Advanced Stata code
Fast, and to the point, useful tips to use in Stata
Data management
Programming
Graphics
Statistics
Basic plot types
Intermediate plot types
Advanced plot types
Requirements
There are no requirements
Description
The Complete Guide to StataLearning and applying new statistical techniques can be daunting experience.This is especially true once one engages with "real life" data sets that do not allow for easy "click-and-go" analysis, but require a deeper level of understanding of programme coding, data manipulation, output interpretation, output formatting and selecting the right kind of analytical methodology.In this course you will receive a comprehensive introduction to Stata and its various uses in modern data analysis. You will learn to understand the many options that Stata gives you in manipulating, exploring, visualizing and modelling complex types of data. By the end of the course you will feel confident in your ability to engage with Stata and handle complex data analytics. The focus of each session will consistently be on creating a "good practice" and emphasising the practical application - and interpretation - of commonly used statistical techniques without resorting to deep statistical theory or equations.This course consists of three sub-courses that will 1) teach you the essentials of Stata 2) provide you with tips and tricks for Stata and 3) teach you advanced data visualization techniques.No prior engagement with is Stata needed. Some prior statistics knowledge will help but is not necessary.The course is aimed at anyone interested in data analytics using Stata.Like for other professional statistical packages the course focuses on the proper application - and interpretation - of code.Some basic quantitative/statistical knowledge will be required; this is not an introduction to statistics course but rather the application and interpretation of such using Stata.Topics covered include:Getting started with StataViewing and exploring dataManipulating dataVisualising dataCorrelation and ANOVARegression including diagnostics (Ordinary Least Squares)Regression model buildingHypothesis testingBinary outcome models (Logit and Probit)Fractional response models (Fractional Logit and Beta Regression)Categorical choice models (Ordered Logit and Multinomial Logit)Simulation techniques (Random Numbers and Simulation)Count data models (Poisson and Negative Binomial Regression)Survival data analysis (Parametric, Cox-Proportional Hazard and Parametric Survival Regression)Panel data analysis (Long Form Data, Lags and Leads, Random and Fixed Effects, Hausman Test and Non-Linear Panel Regression)Difference-in-differences analysis (Difference-in-Difference and Parallel Trends)Instrumental variable regression (Endogenous Variables, Sample Selection, Non-Linear Endogenous Models)Epidemiological tables (Cohort Studies, Case-Control Studies and Matched Case-Control Studies)Power analysis (Sample Size, Power Size and Effect Size)Matrix operations (Matrix operators, Matrix functions, Matrix subscripting)There are also 125 tips and tricks for Stata. These tips are aimed at helping you become a Stata master! They cover a wide range of issues the following topics

ata managementGraphingStatistics Programming. Each tip is designed to be stand-alone and will take no more than 2 minutes.Finally, you will be shown some of the most important data visualization methods and learn what ae the advantages and disadvantages of each technique are. A wide variety of graphs are highlighted in great detail including:HistogramsDensity plotsSpike plotsRootogramsBox plotsViolin plotsStem-and-Leaf plotsQuantile plotsBar graphsPie chartsDot chartsRadar plotsScatter plotsHeat plotsHex plotsSunflower plotsLines of best fitArea plotsLine plotsRange plotsRainbow plotsJitter plotsTable plotsBaloon plotsMosaic plotsChernoff facesSparkling plotsBubble plotsand moreDepending on your desired learning outcomes you may wish to focus on specific parts.To gain a basic understanding of Stata watch sections 2, 3, 4, 5, 6, 7 and 8To learn advanced Stata concepts watch sections 8, 9, 10, 11, 12, 13, 14, 15, 16 and 17To learn fast tips for Stata watch sections 18, 19, 20 and 21To learn all about data visualisation in Stata watch sections 5, 21, 22, 23, 24, 25 and 26To learn data management concepts watch sections 3, 4 and 18

Anyone wanting to work with Stata,Data analysts,Data scientists,Quantitative degree students,Quantitative business users,Economists, Social Scientists, Political Scientists, Biostatisticians, and other disciplines,Those wanting to skill-up in Stata

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The Complete Guide To Stata

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