Certificate in Data Collection with R
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⢠Introduction to Data Collection: Understanding the basics of data collection, types of data, and sources of data.
⢠Data Collection Methods: Exploring various data collection methods, including surveys, interviews, observations, and existing data sources.
⢠Designing a Data Collection Plan: Learning how to design a data collection plan, including defining research questions and objectives, selecting appropriate data collection methods, and determining sample sizes.
⢠Data Collection Tools: Understanding different data collection tools, such as questionnaires, interview guides, and observation checklists.
⢠Data Quality Assurance: Ensuring data quality through various techniques, such as data validation, data cleaning, and data entry best practices.
⢠Ethics in Data Collection: Learning about ethical considerations in data collection, including informed consent, confidentiality, and data privacy.
⢠Data Collection with R: Introduction to R programming language, setting up R environment, and using R packages for data collection.
⢠Web Scraping with R: Learning how to scrape data from websites using R packages such as rvest and xml2.
⢠APIs and R: Understanding how to use APIs to collect data and using R to interact with APIs.
⢠Data Import and Export in R: Learning how to import and export data to and from R using various file formats, such as CSV, Excel, and SQL databases.
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