Sisense

0 weeks

Live Course

Your Instructor

Sahil Goyal

Course Overview

This comprehensive Sisense course is designed to equip participants with the knowledge and hands-on experience needed to effectively use Sisense for end-to-end business intelligence and data analytics.

The course begins with an introduction to Sisense architecture and environment setup, followed by detailed modules on data integration, transformation, and modeling. Participants will learn to create interactive and visually appealing dashboards, customize charts, and apply best practices in data visualization.

The course also covers advanced topics such as embedded analytics using Sisense APIs, augmented analytics with machine learning, and advanced functions and formulas. Finally, learners will explore performance optimization techniques and administrative tasks like user management, backup, and recovery.

Through practical labs and real-world use cases, this course empowers professionals to harness the full capabilities of Sisense for insightful and scalable data-driven solutions.

What you'll get out of this course

Gain a solid foundation in Sisense architecture, components, and setup, enabling learners to effectively install and configure the Sisense environment.

Learn to connect various data sources, perform transformations, and model data within Sisense to prepare it for meaningful analysis and visualization.

Develop skills to create interactive dashboards, customize charts and widgets, and apply data visualization best practices for impactful insights.

Explore embedding Sisense dashboards into applications, integrating with APIs, applying access control, and leveraging machine learning for automated insights.

Acquire techniques for performance tuning, data analysis, and system administration, including managing users, performing backups, and troubleshooting Sisense environments.

Syllabus

Week 1 Jun 2 — Jun 6

Your Instructor

Sahil Goyal

Frequently Asked Questions

Do I need prior experience with BI tools to take this course?
Will there be hands-on practice during the course?
What types of data sources can I connect to in Sisense?
Is this course suitable for developers looking to embed analytics?