Udemy - Demographic and Health Survey Data Analysis in R and RStu...
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Demographic and Health Survey Data Analysis in R and RStudio
https://WebToolTip.com
Published 12/2025
Created by Md Ahshanul Haque
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 69 Lectures ( 5h 23m ) | Size: 3.51 GB
Practical Survey Data Analysis Using RStudio & R with DHS Data for Public Health Research
What you'll learn
Import, understand, and manage graphic and Health Survey (DHS) data in R and RStudio
Perform descriptive and exploratory analysis of DHS survey data using R
Apply survey design concepts and conduct survey-weighted analyses in R
Analyze key public health topics (childhood malnutrition, maternal health, child feeding, womenβs empowerment) using DHS data
Produce clean, reproducible, and publication-ready tables and results from DHS data
Requirements
Basic familiarity with R and RStudio is helpful but not mandatory
A computer with R and RStudio installed
Interest in data analysis, public health, or survey data
Files:
[ WebToolTip.com ] Udemy - Demographic and Health Survey Data Analysis in R and RStudio- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction to RStudio for DHS Data Analysis
- 1. Welcome to RStudio for DHS Data Analysis.mp4 (33.4 MB)
- 2. Course Overview RStudio Statistics & Publication Workflow.mp4 (88.3 MB)
- 60. Defining the Outcome and Independent Variables.mp4 (21.4 MB)
- 61. Simple Linear Regression.mp4 (30.4 MB)
- 62. Multiple Linear Regression.mp4 (29.5 MB)
- 63. Defining Survey Design for Logistic Regression.mp4 (33.1 MB)
- 63. Defining Survey Design for Logistic Regression_Resource_svy logit R.R (3.4 KB)
- 64. Survey Weighted Simple Logistic Regression.mp4 (28.7 MB)
- 65. Survey Weighted Multiple Logistic Regression.mp4 (18.5 MB)
- 66. Changing Reference Categories in svy Models.mp4 (38.6 MB)
- 67. Publication Ready Tables for svy Logistic Regression Crude Odds Ratio.mp4 (93.4 MB)
- 68. Publication Ready Tables for svy Logistic Regression Adjusted Odds Ratios.mp4 (39.4 MB)
- 69. Final publication ready Table and Exporting svy Logistic Regression to MS Word.mp4 (53.0 MB)
- 3. Importing Tanzania DHS Data from Stata ( dta) Files.mp4 (20.1 MB)
- 3. Importing Tanzania DHS Data from Stata ( dta) Files_Resource_Read DHS R.R (0.7 KB)
- 4. Importing Tanzania DHS Data from SPSS ( sav) Files.mp4 (17.5 MB)
- 5. Reading DHS Data from Other Countries (Peru Ethiopia).mp4 (35.5 MB)
- 6. Understanding DHS Variables Using Codebooks.mp4 (69.6 MB)
- 6. Understanding DHS Variables Using Codebooks_Resource_CodeBook docx.docx (171.9 KB)
- 7. Selecting Variables Using the select() Function (Examples).mp4 (60.9 MB)
- 8. Creating a Short Summary Table Using the gtsummary Package.mp4 (12.1 MB)
- 10. Choosing DHS Variables for Nutritional Indicators and Covariates CodeBook.mp4 (59.1 MB)
- 11. Preparing Factor (Categorical) Variables and Value Labels.mp4 (46.8 MB)
- 12. Preparing Numerical (Continuous) Variables from the DHS Dataset.mp4 (42.1 MB)
- 13. Identifying Unusual extreme Values and Correcting Decimal Points.mp4 (45.7 MB)
- 14. Replacing Extreme and Unusual Values with Missing and Generating New Variables.mp4 (82.0 MB)
- 15. Generating Nutritional Indicators Stunting Wasting and Underweight.mp4 (72.7 MB)
- 16. Finalizing the Variable List for Analysis Nutritional and covariates.mp4 (33.1 MB)
- 17. Short Summary of Updated Variables Review of Finalized and Updated Variables.mp4 (33.8 MB)
- 18. Modifying Value Labels for Factor Variables.mp4 (100.6 MB)
- 19. Renaming Variables Based on Variable Names and Meaning.mp4 (71.2 MB)
- 20. Adding Variable Labels to the Current Dataset.mp4 (117.2 MB)
- 21. Saving the Dataset in RData Format.mp4 (33.2 MB)
- 9. Key DHS Variables for Stunting Wasting and Underweight.mp4 (30.7 MB)
- 9. Key DHS Variables for Stunting Wasting and Underweight_Resource_Nutrition DHS DataManagement R.R (3.7 KB)
- 22. Univariate Descriptive Statistics (Unweighted Analysis) gtsummary.mp4 (52.5 MB)
- 22. Univariate Descriptive Statistics (Unweighted Analysis) gtsummary_Resource_Nutrition DHS Desc pval R.R (3.7 KB)
- 23. Formatting Categorical Variables as n (%).mp4 (25.3 MB)
- 24. Formatting Continuous Variables as Mean Β± Standard Deviation.mp4 (15.9 MB)
- 25. Setting Decimal Places for Statistical Results.mp4 (27.4 MB)
- 26. Bivariate Analysis Using Column Percentages (Unweighted).mp4 (15.6 MB)
- 27. Adding Overall Findings to Bivariate Tables.mp4 (60.2 MB)
- 28. Adding p Values Using t Test and Chi Square Test (Unweighted).mp4 (41.7 MB)
- 29. Exporting Publication Ready Tables to MS Word.mp4 (48.0 MB)
- 30. Setting Up Survey Design (svyset svydesign).mp4 (33.0 MB)
- 30. Setting Up Survey Design (svyset svydesign)_Resource_Nutrition DHS SVY Desc pval R.R (3.2 KB)
- 31. Univariate Descriptive Statistics (Survey Weighted).mp4 (24.1 MB)
- 32. Checking Findings Against Published Reports.mp4 (12.7 MB)
- 33. Table Formatting β n (%) and Mean Β± SD (Survey Weighted).mp4 (47.5 MB)
- 34. Survey Weighted Bivariate Analysis (svy).mp4 (37.4 MB)
- 35. Survey Weighted Chi Square Test and p Value (svy).mp4 (70.5 MB)
- 36. Exporting Survey Weighted Tables to MS Word (Publication Ready).mp4 (48.1 MB)
- 37. Bar Diagram for a Single Categorical Variable.mp4 (59.8 MB)
- 37. Bar Diagram for a Single Categorical Variable_Resource_Nutrition DHS graph bar R.R (5.2 KB)
- 38. Bar Diagram for a Single Categorical Variable β Customization & Labeling.mp4 (58.9 MB)
- 39. Bar Diagram for Two Categorical Variables (Grouped Bar Chart).mp4 (93.6 MB)
- 40. Bar Diagram for a Binary Variable by One Categorical Variable.mp4 (82.8 MB)
- 41. Bar Diagram for a Binary Variable by Two Categorical Variables.mp4 (141.6 MB)
- 42. Removing Background and Using Clean Themes in ggplot2.mp4 (27.9 MB)
- 43. Bar Diagram for Multiple Binary Variables.mp4 (168.8 MB)
- 44. Exporting Figures to a Folder in RStudio (Publication Ready).mp4 (61.3 MB)
- 45. Box Plot for a Single Continuous Variable.mp4 (20.4 MB)
- 45. Box Plot for a Single Continuous Variable_Resource_Nutritio DHS box R.R (1.8 KB)
- 46. Box Plot for a Single Continuous Variable β Labeling & Customization.mp4 (52.3 MB)
- 47. Box Plot for a Single Continuous Variable by One Categorical Variable.mp4 (29.2 MB)
- 48. Box Plot for a Single Continuous Variable by Two Categorical Variables.mp4 (22.7 MB)
- 49. Modifying and Labeling Box Plots for Publication Ready Graphics.mp4 (87.2 MB)
- 50. Defining the Outcome Variable for Logistic Regression.mp4 (21.2 MB)
- 50. Defining the Outcome Variable for Logistic Regression_Resource_logit R.R (7.3 KB)
- 51. Simple Logistic Regression (Unadjusted Odds Ratio).mp4 (65.0 MB)
- 52. Multiple Logistic Regression (Adjusted Odds Ratios).mp4 (29.3 MB)
- 53. Changing Reference Categories for Categorical Independent Variables.mp4 (65.9 MB)
- 54. Recap β Variable Modification for Logistic Regression.mp4 (86.3 MB)
- 55. Publication Ready Table for Unadjusted Odds Ratios.mp4 (133.1 MB)
- 56. Publication Ready Table for Adjusted Odds Ratios (AOR).mp4 (54.9 MB)
- 57. Final β Publication Ready Table (Unadjusted & Adjusted Odds Ratios).mp4 (28.7 MB)
- 58. Saving Publication Ready Tables in MS Word.mp4 (34.2 MB)
- 59. Factors Associated with Stunting Underweight and Wasting.mp4 (121.5 MB)
- Bonus Resources.txt (0.1 KB)
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