Certificate in Data Wrangling for Social Science
-- ViewingNowThe Certificate in Data Wrangling for Social Science is a comprehensive course designed to equip learners with essential data wrangling skills critical in the social science industry. This program is increasingly important as businesses and organizations rely heavily on data-driven decision-making.
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โข Data Wrangling Fundamentals: Introduction to data wrangling, data cleaning, and data preprocessing.
โข Data Collection Techniques: Overview of data collection methods, including web scraping and APIs.
โข Data Cleaning: Techniques for handling missing data, inconsistent data, and outliers.
โข Data Transformation: Methods for converting data formats, reshaping data, and aggregating data.
โข Data Integration: Strategies for combining data from multiple sources, resolving data conflicts, and ensuring data consistency.
โข Data Visualization: Techniques for creating effective visualizations and exploring data for insight.
โข Data Quality Assessment: Approaches for evaluating data quality, detecting errors, and improving data accuracy.
โข Data Security & Privacy: Best practices for protecting sensitive data and maintaining privacy in social science research.
โข Data Ethics & Bias: Understanding ethical considerations in data wrangling, including the impact of bias and fairness in data.
โข Case Studies in Data Wrangling: Real-world examples of data wrangling in social science research, highlighting best practices and lessons learned.
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