Data Visualisation

Data Visualization (DV) is Oracle's self-service reporting tool for data exploration and visualisation, which enables users to access, analyze, and visualize data without the need for extensive technical expertise or assistance from IT.

Details

Dashboards

Our DV course gives attendees a full end-to-end understanding of the tool. It is designed for anyone who is new to data visualisation or who wants to understand the full capabilities of a modern analytics tool. This course starts with data acquisition and preparation and then moves on to creating visualisations. The course then covers advanced topics such as using advanced analytics, data flows and machine learning.

The course starts by introducing Data Visualization components and key concepts. The first 2 lessons focus on the data acquisition and preparation, where we show you how to create a dataset from different sources (files, object storage, relational databases, the Oracle Analytics semantic layer), profile the data, and apply basic data transformation.

The next section of the course covers data exploration and visualization, starting with basic visualizations and then moving on to advanced filtering options, data actions and parameters.

We then move on to data flows which allows us to combine and transform multiple datasets at the same time and store the result into a new dataset.

The final lessons cover the embedded machine learning capabilities of the tool, where we show you how to enrich your visualizations with advanced analytics functions, better understand your datasets using the Explain feature, and build and apply machine learning predictive models.

Course Outline

  • Overview: Provides a high-level understanding of the Data Visualization tool
  • Data Acquisition and Preparation: Focuses on creating datasets from different sources (files, subject areas, relational databases) and applying basic data transformation.
  • Data Exploration and Visualization: Starts with basic visualizations and then moves on to advanced filtering options, data actions and parameters.
  • Data Flows: Focuses on combining and transforming data from multiple datasets to a new dataset object.
  • Machine Learning: Covers the embedded machine learning capabilities of the tool, where we show you how to enrich your visualizations with advanced analytics functions, better understand your datasets using the Explain feature, and build and apply machine learning predictive models.

Who Should Attend

Business and Data Analysts, Power Users, Analytics Developers, Data Modellers and Citizen Data Scientists

Previous Knowledge

None Required

Duration

1 Day

Testimonials

Thoroughly enjoyed the session. Mike was really knowledgeable and approachable creating a sense of ease in asking questions. The style of delivery was very 'human' and not robotic.

Great details on both presentations and materials.

I've been in I.T. and attending various courses for over 30 years. This is the BEST course I have ever attended. Instructor was excellent, course content was relevant, and the curriculum was well organized and designed.

Well put together course.

The course trainer was very knowledgeable and was able to answer some of our OAC business implementation questions.