Data Analysis using SiSense Certification Training Course Overview

Enroll for the 3-day Data Analysis using SiSense training course from Koenig Solutions. Sisense uniqueness lies in its ability to handle all types of data from diverse sources and also small as well as big data. It is scalable and it uses in-chip technology for parallel processing for faster data crunching, thus getting results faster while reducing need for additional hardware. Sisense provides front end and back end tools for managing, visualising and modifying multiple big data sets in short times, providing elegant solutions that are easy to understand.

Through a blend of hands-on labs and interactive lectures, you will learn how to create your own dashboard by connecting to data. You will learn to use the Dashboard in various ways such as viewing it as a pdf or downloading it as an image and managing and sharing the Dashboard. Explore the SisenseElastiCube, add and manage users and share your findings and data on multiple devices.

Target Audience:

This Sisense BI certification course is for IT as well as non-IT professionals who want to make sense of their big data and create visual presentations with them for making better business decisions.

Learning Objectives

After completing this course, you will be able to:

  • Installing and Configuring Sisense
  • The ElastiCube Manager
  • Creating and Using Dashboards
  • Managing and Sharing Dashboards
  • Sisense Pulse and Alerting
  • User Management, security, Internationalization and Localization
  • Connecting to Sisense via ODBC
  • Viewing Sisense Dashboards on Mobile

 

Data Analysis using SiSense Training (Duration : 24 Hours) Download Course Contents

Live Virtual Classroom 1700
Group Training Date On Request
1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
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Course Modules

Module 2: INSTALLING SISENSE
  • Topic details are not available.
Module 3: SISENSE BASIC CONCEPTS AND TERMINOLOGY
  • CONNECT TO DATA
  • YOUR FIRST DASHBOARD
Module 4: MANAGING DATA – ELASTICUBE MANAGER
  • OVERVIEW
  • INTRODUCTION TO ELASTICUBES
  • ELASTICUBES – TECHNICAL OVERVIEW
  • WORKING WITH THE ELASTICUBE MANAGER
  • CONNECTING TO SOURCE DATA
  • WORKING WITH DATA
  • TRANSFORMING AND ENRICHING DATA
  • BUILDING ELASTICUBES
  • MAKING CHANGES TO AN EXISTING ELASTICUBE
  • BUILD SETTINGS AND DATA ACCUMULATION BEHAVIOR
  • MANAGING ELASTICUBES
Module 5: CREATING DASHBOARDS
  • CREATING A NEW DASHBOARD
  • ADDING WIDGETS TO A DASHBOARD
  • ADDING TEXT WIDGETS
  • ADDITIONAL WIDGET DESIGN OPTIONS
  • MANAGING WIDGETS
  • CUSTOMIZING THE DASHBOARD LAYOUT
  • FILTERING DASHBOARDS AND WIDGETS
  • USING FORMULAS
  • CHANGING A DASHBOARD’S ELASTICUBE
  • EMBEDDING DASHBOARDS AND WIDGETS
Module 6: USING DASHBOARDS
  • VIEWING DASHBOARDS
  • INTERACTING WITH FILTERS AS A VIEWER
  • DRILLING DOWN IN A WIDGET
  • MAKING SELECTIONS IN A WIDGET
  • ZOOMING IN/OUT IN CHARTS
  • RESIZING THE X-AXIS TO EXPOSE LABELS
  • DOWNLOADING A DASHBOARD AS A PDF
  • DOWNLOADING A DASHBOARD AS AN IMAGE
  • EXPORTING WIDGETS TO CSV/EXCEL
  • DOWNLOADING A WIDGET AS AN IMAGE
Module 7: MANAGING & SHARING DASHBOARDS
  • MANAGING DASHBOARDS
  • SHARING DASHBOARDS
  • SISENSE EMAILS
Module 8: SISENSE PULSE & ALERTING
  • OVERVIEW
  • SISENSE ALERTS
  • SISENSE PULSE
Module 9: ADMINISTRATION
  • USER MANAGEMENT
  • ELASTICUBE MANAGEMENT
  • HIGH AVAILABILITY IN SISENSE
  • DEFINING SECURITY AND ACCESS SETTINGS
  • EMBEBBED ANALYTICS
  • INTERNATIONALIZATION AND LOCALIZATION
  • SYSTEM SETTINGS
Module 10: SISENSE ODBC
  • Topic details are not available.
Module 11: SISENSE MOBILE
  • Topic details are not available.
Module 12: DEVELOPERS
  • SISENSE REST API
  • CUSTOM REST CONNECTOR
  • ADDING FUNCTIONALITY WITH JAVASCRIPT
  • PRE- AND POST-BUILD PLUGINS
  • SISENSE SHELL (PSM.EXE)
  • SQL API
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Course Prerequisites
  • Participants are expected to have an understanding of how data works and how it can contribute to building a business.