Course : Analyzing and Visualizing Data in Looker
Practical course - 1d
- 7h00 - Ref. GCL
|
Download in PDF format
Share this course by email
 | Define Looker and its capabilities for working with data. |
| Explain the four key concepts: dimensions, measures, filters, and pivot tables. |
| Use these concepts to analyze and visualize data. |
| Create advanced metrics using table calculations. |
| Create dashboards to combine and share visualizations. |
| Organize content using folders and boards. |
Intended audience
Business users who want to analyze data, and data analysts responsible for visualization and analysis.
Prerequisites
Ideally, candidates should have a basic understanding of AWS, more than 2 years of production experience (AI/ML/data), and 1 year of experience in generative AI. Good written English skills are required.
Practical details
Teaching methods
The training will be conducted in French. Official course materials will be provided in English and in digital format.
Course schedule
1 Introduction to Looker and Getting Started
- Interface and components.
- Navigation and Data Access.
- Overview of Key Features.
2 Data Analysis
- Dimensions and attributes.
- Measures and Aggregation.
- Filters and data subsets.
- Key Metrics and Data Organization.
- Combining elements to enhance the analysis.
3 Calculations and Visualization
- Table calculations.
- Shift functions.
- Creating new metrics.
- Visualization Design.
- Creating and customizing dashboards.
- Add filters for analysis.
4 Sharing and Organization
- Sharing dashboards and distributing data.
- Organization using folders.
- Creating and managing boards.
- Centralization and accessibility of content.
PARTICIPANTS
Business users who want to analyze data, and data analysts responsible for visualization and analysis.
PREREQUISITES
Ideally, candidates should have a basic understanding of AWS, more than 2 years of production experience (AI/ML/data), and 1 year of experience in generative AI. Good written English skills are required.
TRAINER QUALIFICATIONS
The experts who lead the training courses are specialists in the subjects covered. They are approved by the publisher and certified for the course. They have also been validated by our teaching teams in terms of both professional knowledge and teaching skills for each course they teach. They have at least three to ten years of experience in their field and hold or have held positions of responsibility in companies.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training course.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you have specific accessibility requirements? Contact Ms FOSSE, disability advisor, at the following address: psh-accueil@orsys.fr so that we can assess your request and its feasibility.
Business users who want to analyze data, and data analysts responsible for visualization and analysis.
PREREQUISITES
Ideally, candidates should have a basic understanding of AWS, more than 2 years of production experience (AI/ML/data), and 1 year of experience in generative AI. Good written English skills are required.
TRAINER QUALIFICATIONS
The experts who lead the training courses are specialists in the subjects covered. They are approved by the publisher and certified for the course. They have also been validated by our teaching teams in terms of both professional knowledge and teaching skills for each course they teach. They have at least three to ten years of experience in their field and hold or have held positions of responsibility in companies.
ASSESSMENT TERMS
Assessment of targeted skills prior to training.
Assessment by the participant, at the end of the training course, of the skills acquired during the training course.
Validation by the trainer of the participant's learning outcomes, specifying the tools used: multiple-choice questions, role-playing exercises, etc.
At the end of each training course, ITTCERT provides participants with a course evaluation questionnaire, which is then analysed by our teaching teams. Participants also complete an official evaluation of the publisher.
An attendance sheet for each half-day of attendance is provided at the end of the training course, along with a certificate of completion if the participant has attended the entire session.
Assessment of targeted skills prior to training.
Assessment by the participant, at the end of the training course, of the skills acquired during the training course.
Validation by the trainer of the participant's learning outcomes, specifying the tools used: multiple-choice questions, role-playing exercises, etc.
At the end of each training course, ITTCERT provides participants with a course evaluation questionnaire, which is then analysed by our teaching teams. Participants also complete an official evaluation of the publisher.
An attendance sheet for each half-day of attendance is provided at the end of the training course, along with a certificate of completion if the participant has attended the entire session.
TEACHING AIDS AND TECHNICAL RESOURCES
The teaching resources used are the publisher's official materials and practical exercises.
The teaching resources used are the publisher's official materials and practical exercises.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training course.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you have specific accessibility requirements? Contact Ms FOSSE, disability advisor, at the following address: psh-accueil@orsys.fr so that we can assess your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class
Dernières places
Date garantie en présentiel ou à distance
Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.