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Explore OAS Self-Service Analytics

Курс от Coursera

Средний≈ 3.2 чАнглийский

О курсе

What if you could turn a raw Excel budget file into a boardroom-ready dashboard within a few hours – no SQL required? This short course was created to help business intelligence professionals accomplish end-to-end self-service analytics in Oracle Analytics Server. By completing this course, you'll be able to connect governed data (subject areas curated by IT or data teams), enrich it through no-code data flows, and publish interactive dashboards your stakeholders can actually use. By the end of this course, you will be able to: Connect to Subject Areas and upload local files to create reusable data sets Cleanse, join, and enrich datasets using no-code Data Flows Build interactive dashboards using data visualisation, Explain, and BI Ask This course is unique because it leverages OAS's AI-driven Explain and natural-language BI Ask features. To succeed, you should have basic spreadsheet skills and familiarity with data concepts such as joins, measures, and dimensions.

Навыки, которые вы освоите

Dashboard Creation Interactive Data Visualization Business Intelligence Stakeholder Communications Exploratory Data Analysis Data Quality Data Integration Data Visualization Data Analysis Data Import/Export Analytics Data Cleansing Data Synthesis Data Transformation Data Presentation Data Literacy Data Sharing Data Wrangling

Программа курса

3 модулей · 22 учебных материалов

01Connecting to Subject Areas and Creating Reusable Data Sets7 материалов

Meet Your Analytics Mentor: A First Look at the OAS Workflow AlignedDIALOGUE From Spreadsheet to Governed Data: Why Self-Service Starts with ConnectionВидео Subject Areas, Local Files, and Data Sets: What's the Difference?DIALOGUE Step-by-Step: Connecting to a Subject Area and Uploading a Local File in OASЧтение

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