Pyramid Analytics Training
Pyramid Analytics is a powerful business intelligence (BI) and data analytics platform designed to help organizations make data-driven decisions by providing a range of features like data visualization, reporting, advanced analytics, and data exploration. Training for Pyramid Analytics typically covers both foundational and advanced topics to help users maximize the platform’s potential.

Why should you choose Nisa For Pyramid Analytics 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 Pyramid Analytics 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
Pyramid Analytics 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 :
Introduction to Pyramid Analytics:
- Overview of the Pyramid platform and its architecture.
- Key components: Data, Models, Visualizations, Reports, Dashboards.
- Understanding the Pyramid interface and navigation.
Data Integration & Modeling:
- Importing and integrating data from multiple sources (databases, spreadsheets, cloud services).
- Data blending and preparing data for analysis.
- Creating and managing data models using Pyramid’s semantic layer.
- Data transformations and calculated fields.
Data Exploration & Analysis:
- Exploring and analyzing data with various tools and techniques.
- Using advanced filtering and drill-down features.
- Performing ad-hoc analysis and discovering insights.
- Writing and executing advanced queries.
Building Visualizations & Dashboards:
- Creating different types of visualizations (charts, graphs, heatmaps, etc.).
- Best practices for designing dashboards that tell a story with data.
- Using interactive features like drill-throughs and parameterization.
- Customizing visualizations to meet user needs.
Advanced Analytics:
- Using advanced analytical capabilities such as predictive modeling, regression analysis, and clustering.
- Creating complex KPIs and metrics to track business performance.
- Integrating Python or R scripts for custom analytics.
Sharing Insights & Reports:
- Creating interactive reports.
- Scheduling and distributing reports.
- Embedding visualizations and reports in external applications.
Collaboration & Governance:
- Setting up user roles and permissions.
- Managing data security and governance in Pyramid Analytics.
- Sharing insights collaboratively within teams.
Advanced Features & Customization:
- Extending Pyramid Analytics with custom code or integrations.
- Working with advanced deployment options.
- Leveraging APIs for automation.