Sisense Training

Categories Analytics Course
Course level:Intermediate

Sisense is a business intelligence (BI) and data analytics platform that allows users to transform complex data into actionable insights through data visualization, reporting, and analysis. Training on Sisense generally covers a range of topics from basic data integration and dashboard creation to advanced analytics and machine learning.

Sisense Training
Sisense Training – Learn Online

Why should you choose Nisa For Sisense 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 Sisense 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

Sisense 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 :

1. Introduction to Sisense
  • Overview of Sisense platform and capabilities
  • Understanding Sisense’s architecture
  • Setting up Sisense and navigating the interface
  • Introduction to the types of users and their roles (e.g., admin, analyst, developer)
2. Data Integration and Preparation
  • Connecting to various data sources (databases, spreadsheets, APIs, etc.)
  • Using the Sisense Elasticube for data modeling
  • Data cleaning and transformation (ETL processes)
  • Creating relationships between tables and data sources
  • Data blending and aggregation techniques
3. Building Dashboards and Visualizations
  • Understanding the basics of data visualization
  • Creating and customizing dashboards
  • Adding and configuring widgets (charts, tables, maps, etc.)
  • Filtering and drilling down into data
  • Adding interactivity (controls, filters, etc.)
4. Advanced Analytics and Insights
  • Calculations and custom metrics using formulas
  • Applying advanced analytics techniques (trend analysis, forecasting, etc.)
  • Incorporating machine learning models into dashboards
  • Using Sisense Pulse for monitoring KPIs
5. Security and User Management
  • Understanding Sisense’s security model
  • Managing user access and permissions
  • Implementing row-level security
  • Setting up single sign-on (SSO) and other authentication methods
6. Sisense API and Customization
  • Introduction to Sisense APIs for automation and integration
  • Customizing Sisense with JavaScript and other programming languages
  • Embedding Sisense dashboards into other applications or websites
7. Administration and Performance Tuning
  • Sisense system architecture for administrators
  • Managing and monitoring the performance of Sisense clusters
  • Optimizing query performance and dashboard loading times
  • Backup and disaster recovery procedures
8. Deploying and Sharing Insights
  • Exporting and scheduling reports
  • Sharing dashboards with stakeholders
  • Using Sisense for mobile BI
  • Collaborative features for team-based analytics
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