Oracle Data Visualization Training
Oracle Data Visualization is a powerful tool for creating interactive and insightful visualizations from your data. It allows users to make informed decisions by analyzing data visually through dashboards, reports, and charts.
Why should you choose Nisa For Oracle Data Visualization Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Oracle Data Visualization Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Oracle Data Visualization Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
Module 1: Introduction to Oracle Data Visualization
- Overview of Oracle Data Visualization
- What is Oracle Data Visualization (DV)?
- Understanding its role in the Oracle Analytics Cloud (OAC)
- Benefits and key features of Oracle Data Visualization
- Comparison with other BI tools
- User Interface
- Introduction to the Oracle Data Visualization Interface
- Navigating through the workspace and panels
- Understanding data visualizations vs. dashboards vs. reports
Module 2: Working with Data in Oracle Data Visualization
- Connecting to Data Sources
- Introduction to supported data sources (CSV, Excel, databases, cloud services, etc.)
- Connecting Oracle Data Visualization to different data sources
- Importing data and managing connections
- Data Preparation and Transformation
- Understanding the concept of “Data Sets” and “Data Views”
- Cleaning and preparing data for visualization
- Using data wrangling features: filtering, sorting, aggregating
- Creating calculated fields and custom formulas
- Managing metadata and handling data quality issues
- Understanding Data Structures
- Working with dimensions and measures
- Types of data: categorical vs. numerical
- Date and time-based data considerations
Module 3: Basic Visualizations in Oracle Data Visualization
- Creating Basic Visualizations
- Introduction to the chart gallery (Bar Chart, Line Chart, Pie Chart, etc.)
- Selecting appropriate visualizations based on data
- Configuring visualizations (labels, colors, axes)
- Chart Customization
- Adjusting chart properties (sorting, formatting, labels)
- Customizing tooltips and interactions
- Creating Interactive Visualizations
- Drill-downs and tooltips to reveal more detailed data
- Adding interactivity (filters, slicers, selectors)
Module 4: Advanced Visualization Techniques
- Geospatial and Map Visualizations
- Creating maps to represent geographic data
- Understanding geospatial data (longitude, latitude, regions)
- Customizing map visualizations (heatmaps, bubble charts)
- Advanced Chart Types
- Waterfall charts
- Bullet charts
- Sankey diagrams
- Scatter plots with trendlines and outliers
- Combining Multiple Visualizations
- Creating combined charts (dual-axis charts, stacked charts)
- Grouping and stacking data for better insights
Module 5: Building Dashboards and Reports
- Creating Dashboards
- Understanding dashboards and how they differ from visualizations
- Creating and organizing dashboards with multiple visualizations
- Using layout options and grid structures
- Designing for different screen sizes (desktop, tablet, mobile)
- Customizing Dashboards
- Using filters and selectors to make dashboards interactive
- Setting up drill-downs and data actions for detailed exploration
- Embedding external content in dashboards (images, videos, external links)
- Exporting and Sharing Reports
- Exporting visualizations and dashboards to different formats (PDF, Excel, etc.)
- Sharing reports with users and groups (permissions, roles, collaboration)
- Creating scheduled reports and alerts
Module 6: Data Interactivity and Analysis
- Applying Filters and Parameters
- Applying global and local filters to visualizations
- Using parameters to dynamically adjust views
- Trend Analysis
- Adding trend lines to visualizations
- Time series analysis and forecasting
- Using Advanced Analytics Features
- Integration with Oracle Machine Learning (ML) and advanced analytics tools
- Adding and interpreting statistical features (mean, median, standard deviation)
- Performing regression analysis and clustering
Module 7: Best Practices for Visualization Design
- Design Principles
- Best practices for effective data visualization (clarity, simplicity, color usage)
- Avoiding common mistakes in data visualizations (overcomplicated visuals, misleading charts)
- Choosing the right chart type based on the data type and analysis needs
- Data Storytelling
- Communicating insights effectively through visualizations
- Structuring reports to tell a story with data
- Using annotations and highlights to guide users’ attention
Module 8: Advanced Features and Administration
- Custom Visualizations and Extensions
- Working with custom visualizations (using JavaScript, HTML, CSS for advanced visuals)
- Integrating third-party extensions into Oracle Data Visualization
- Admin and Security Features
- Managing users, groups, and roles in Oracle Data Visualization
- Setting permissions and access controls for data and reports
- Monitoring and auditing usage within Oracle Data Visualization
- Integrating with Other Oracle Services
- Connecting Oracle Data Visualization with other Oracle Cloud services (e.g., Oracle Autonomous Database)
- Using Oracle Data Visualization in conjunction with Oracle Cloud Infrastructure (OCI)