Data Management

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Instructor:

apai

Last Update:

November 8th, 2024

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Data Management

About Course

The focus of this course is on producing high-quality, reproducible, and useable datasets. Topics include survey measurement and design, principles of data collection, quality assurance, and data sharing and reporting. Through the course, students will develop a data management plan, create a tablet-based data collection program using Open Data Kit, and develop code for basic quality checks using Stata. The module also aims to provide a basic foundation of programming using the software R. This introductory course will introduce to the software “R” and how to do basic data manipulation, plotting and basic statistics to enable them to do data analysis using this widely used free software.

 

 Key Words: Design, Connect, Collect, Download, Reporting, Statistics, Manipulation, Plotting

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What Will You Learn?

  • Unit 1: The foundation: preventing garbage in, garbage out
  • Unit 2: Principles of questionnaire design
  • Unit 3: Applying questionnaire design to build a database: Open Data Kit/SurveyCTO
  • Unit 4: Applying questionnaire design to build a database: debugging and launching your survey
  • Unit 5: Data are coming in, what do you do? Principles of data monitoring
  • Unit 7: Stata Lab for new users
  • Unit 9: Introduction to Stata
  • Unit 10: Applying the principles of data monitoring and cleaning in Stata
  • Unit 11: Creating a clean dataset
  • Unit 12: Producing meaningful summary statistics and graphs
  • Unit 13: A first session into R
  • Unit 14: R data types and objects
  • Unit 15: Basic data manipulation
  • Unit 16: Basic plotting
  • Unit 17: Loops and functions
  • Unit 18: Control structures, dates and times
  • Unit 19: Basic statistics

Topics of Course

Advance Concepts

Basic Concepts

Your Instructor

apai

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Material Includes

  • Full lifetime access
  • Certificate of Completion

Requirements

  • Computer Requirements
  • 2X 20 Seats computer room with SAS, R, SPSS and any other Statistical software.
  • Software requirements: SPSS
  • Others:
  • Scientific Calculators

Material Includes

  • Full lifetime access
  • Certificate of Completion

Audience

  • The course is taken by students of Applied Statistics and Data Management (about 45 students). These will be divided into 2 sub-groups of tutorials each of 20. The 40 students will take 72 lectures for 12 weeks while each sub-group of 15 students will do 2 hours tutorials per week for 10 weeks.