The Complete Introduction to Sisense Online

Business Intelligence Tools like Sisense are on the rise, and you should catch the wave. Sisense is one of the most popular ones with great integrations with a variety of other tools and Datasources. This course is great for analysts, managers and data scientists looking for a good introduction to Sisense. This course is not centered around data science, but rather Sisense as a tool which enables you to then do a variety of other tasks.

You will get a quick grasp on Sisense. It is one of the best data modeling tools out there, with the ability to design and develop dashboards and it will let you add widgets to provide great visual representation into your entire ecosystem.

Everything is well documented and separated, so you can find what you need. Assignments and Quizzes will make sure you stay on track and test your knowledge. The course will have a combination of theory and practical examples.

Introduction

Why do you need Sisense? Where does it fit in your organization? We aim to answer some of these questions here. Also jump into the difference between LiveModels and ElastiCubes. This course focuses on using ElastiCubes.

Cooking the data

You need add some sample data to practice with. We are going to add some sample Employee Information. Learn how to join to multiple tables together. Take decisions on promoting employees by editing columns using functions and then create tables using SQL statements.

Tag the data to make it more descriptive and then apply what you have learnt in an assignment. But the assignment leads us to another problem - Relationship cycles.

Presenting the data

You will serve the role of a vice president in a car manufacturing company here. We need to create a dashboard for the new CEO and take decisions on which cars to produce and sell in the upcoming years. We even learn how to create dashboards using multiple sources of data.

Use different widgets to make your data look good, to study which cars are getting popular, when sales rise, and most importantly, where they rise. You will take airline data and take decisions as the owner of the company. Then go on to use filters to easily present data.

We will use CSV files as a datasource at all times.