Курс от CourseraLearn how to access, retrieve, and report on data across multiple systems in this comprehensive course within the Data Analytics Skill Path. You will develop essential competencies, including importing and converting flat file data, writing SQL queries to retrieve and filter records, executing pre-written queries for routine data requests, generating operational reports using templates and spreadsheet tools, and applying governance and privacy policies when handling organizational data. Through hands-on practice with Python, SAS PROC SQL, spreadsheets, and Power BI, you will learn to transform raw inputs into structured, accurate, and compliance-ready outputs. This course brings together expertise from IBM, SAS, Google, and Microsoft, offering multiple perspectives on foundational data access and reporting workflows. You will progress from reading and transforming file-based data in Python, to querying relational data with SQL, to generating summaries and reports in spreadsheets, and ultimately to applying governance practices using Power BI. The curriculum balances conceptual understanding with practical exercises, preparing you to confidently retrieve, organize, and report data across modern analytics environments. Perfect for aspiring analysts and learners seeking strong foundational skills in data retrieval, reporting, and governance across widely used industry tools.
7 модулей · 159 учебных материалов

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