Description
- Module 1: Data Concepts and Environments: This topic covers fundamental concepts related to data schemas, dimensions, and data types, along with a comparison of common data structures and file formats.
- Module 2: Data Mining: In this topic, you’ll learn about data acquisition, the importance of data cleansing and profiling, techniques for data manipulation and query optimization to prepare data for analysis.
- Module 3: Data Analysis: Here, the focus is on applying descriptive statistical methods to analyze data in scenarios, understanding inferential statistical methods, and exploring different types of analysis techniques along with tools commonly used in data analytics.
- Module 4: Visualization: This topic explores translating business requirements into report formats, designing effective reports and dashboards using appropriate components, methods for dashboard development, and selecting suitable visualization types.
- Module 5: Data Governance, Quality, and Controls: It covers essential concepts of data governance, applying data quality control techniques in scenarios, and understanding master data management (MDM) principles.








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