Professional Certificate in Retail Data Science and Predictive Analytics
-- ViewingNowThe Professional Certificate in Retail Data Science and Predictive Analytics is a comprehensive course that empowers learners with essential skills to excel in the retail industry. With the increasing industry demand for data-driven decision-making, this course cultivates in-depth expertise in retail data science, predictive analytics, and machine learning applications.
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⢠Introduction to Retail Data Science: Fundamentals of data science, retail data analysis, and predictive analytics.
⢠Data Collection and Management: Techniques for collecting and managing large retail datasets.
⢠Data Cleaning and Preprocessing: Techniques for cleaning and preprocessing retail data for predictive modeling.
⢠Exploratory Data Analysis: Methods for exploring and understanding retail data through visualization and statistical analysis.
⢠Predictive Modeling for Retail: Techniques for building predictive models for retail applications, including regression, classification, and time series analysis.
⢠Machine Learning for Retail: Advanced machine learning techniques for retail applications, including neural networks, decision trees, and clustering algorithms.
⢠Experimental Design and A/B Testing: Methods for designing and analyzing experiments in retail settings, including A/B testing and factorial designs.
⢠Retail Analytics Applications: Real-world applications of retail data science and predictive analytics, including demand forecasting, inventory management, and customer segmentation.
⢠Ethics and Privacy in Retail Data Science: Ethical considerations and best practices for protecting customer privacy in retail data science and predictive analytics.
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