Undergraduate Certificate in Advanced Retail Data Science Insights
-- ViewingNowThe Undergraduate Certificate in Advanced Retail Data Science Insights is a comprehensive course designed to equip learners with essential skills in retail data science. This certificate course highlights the importance of data-driven decision-making in the retail industry and provides hands-on experience in analyzing and interpreting complex retail data sets.
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โข Foundations of Retail Data Science: Introduction to retail data science, data types, and sources. Overview of data analysis and machine learning techniques.
โข Data Wrangling and Preparation: Data cleaning, transformation, and normalization for retail applications. Handling missing and inconsistent data.
โข Statistical Analysis for Retail: Descriptive and inferential statistics, probability distributions, and hypothesis testing in retail contexts.
โข Machine Learning for Retail Data: Supervised and unsupervised machine learning techniques for retail data. Model evaluation and selection.
โข Retail Predictive Analytics: Forecasting sales, demand, and customer behavior. Time series analysis and forecasting techniques.
โข Retail Optimization: Inventory management, pricing optimization, and customer segmentation using data science techniques.
โข Retail Data Visualization: Data visualization best practices for retail applications. Communicating insights effectively using charts, graphs, and dashboards.
โข Ethics in Retail Data Science: Ethical considerations in retail data science, including data privacy, security, and bias.
โข Retail Data Science Applications: Real-world case studies and applications of retail data science. Best practices and lessons learned.
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