Certificate in Data Analytics for Retail Banking Efficiency
-- ViewingNowThe Certificate in Data Analytics for Retail Banking Efficiency is a comprehensive course designed to equip learners with essential data analytics skills specific to the retail banking industry. This program emphasizes the importance of data-driven decision-making in banking, addressing key challenges and opportunities in retail banking through the lens of data analytics.
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⢠Data Analysis Fundamentals: Introduction to data analysis, data types, and data structures. Understanding data life cycle and data governance.
⢠Statistical Analysis: Descriptive and inferential statistics, probability distributions, statistical testing, and regression analysis.
⢠Data Visualization: Data visualization tools, techniques, and best practices. Creating effective charts, graphs, and dashboards.
⢠Data Mining: Data mining techniques, algorithms, and applications. Predictive modeling and machine learning.
⢠Big Data Analytics: Big data technologies, architectures, and platforms. Hadoop, Spark, and NoSQL databases.
⢠Retail Banking Operations: Retail banking products, services, and processes. Customer segmentation, product pricing, and risk management.
⢠Data Analytics for Retail Banking: Data analytics applications in retail banking, including customer acquisition, retention, and cross-selling. Fraud detection and regulatory compliance.
⢠Data Analytics Tools: Data analytics tools, including Python, R, SQL, and Tableau. Data manipulation, cleaning, and transformation.
⢠Data Ethics and Privacy: Data ethics, privacy, and security. Data protection laws and regulations.
⢠Data Analytics Project Management: Data analytics project management best practices. Agile methodologies, project scoping, and stakeholder communication.
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