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                                • Data Preprocessing and Cleaning: This unit focuses on the essential skills required to handle and prepare large datasets for analysis, including data cleaning, handling missing values, and data transformation. It is crucial for big data professionals in the e-commerce industry to ensure accurate and reliable insights.
• Data Visualization and Communication: In this unit, learners will develop the skills to effectively communicate insights and findings to stakeholders through data visualization techniques, including creating interactive dashboards and reports. This is a vital skill for big data professionals in e-commerce to present complex data in a clear and concise manner.
• Big Data Technologies and Tools: This unit covers the essential big data technologies and tools used in the e-commerce industry, including Hadoop, Spark, and NoSQL databases. Learners will gain hands-on experience with these tools to extract insights from large datasets.
• Machine Learning and Predictive Analytics: In this unit, learners will develop the skills to apply machine learning algorithms to solve business problems in e-commerce, including predictive modeling, clustering, and decision trees. This is a critical skill for big data professionals to drive business growth and improve customer experiences.
• Data Mining and Business Intelligence: This unit focuses on the application of data mining techniques to extract insights from large datasets, including association rule mining, decision tree mining, and clustering. Learners will gain the skills to develop business intelligence solutions that drive business growth and improve customer experiences.
• Cloud Computing and Big Data: In this unit, learners will gain hands-on experience with cloud computing platforms, including AWS and Azure, to deploy and manage big data applications. This is a critical skill for big data professionals in e-commerce to scale and manage large datasets.
• Data Governance and Security: This unit covers the essential skills required to ensure data governance and security in big data applications, including data encryption, access control, and data quality. Learners will gain the skills to develop secure and reliable big data applications.
• Big Data for E-commerce: In this unit, learners will gain hands-on experience with big data technologies and tools to solve business problems in e-commerce, including customer segmentation, product recommendation, and supply chain optimization. This is a critical skill for big data professionals to drive business growth and improve customer experiences.
• Data Science and Analytics: This unit focuses on the application of data science and analytics techniques to extract insights from large datasets, including statistical modeling, data visualization, and machine learning. Learners will gain the skills to develop data-driven solutions that drive business growth and improve customer experiences.
• Business Acumen and Communication: In this unit, learners will develop the skills to effectively communicate insights and findings to stakeholders, including business leaders, product managers, and customers. This is a vital skill for big data professionals in e-commerce to present complex data in a clear and concise manner.