Analyzing and Visualizing Data in Looker

This module introduces the course on Looker for business users and data analysts.

This module overviews the Looker user interface and its critical components for data explorers.

This module reviews Looker's four core analytical concepts for analyzing and visualizing data.

This module reviews how business users and data analysts can instantaneously use table calculations in Looker to create new metrics.

This module covers using Looks and dashboards to share visualizations and results with others.

This module reviews how to manage and organize Looker content using folders and boards so that content is easily discoverable and accessible by others.

This module provides a summary of the topics covered in this course.

A: Charts, graphs, and maps in the forms of line charts, bar graphs, tree charts, dual-axis charts, mind maps, funnel diagrams, and heat maps are among the main types of data visualisation. Enormous datasets are meant to be presented, understood, and interpreted more easily. The primary types of data visualisation each offer a distinct method for organising large amounts of complex information into graphics.

Following are some examples of the various categories of data visualisation:

Bar Graph: These methods of data visualisation, often known as bar graphs or column graphs, present numerical values as bars or rectangles of uniform width. Bar graphs quickly summarise vast amounts of data and reveal major changes over time.

Line charts: Plotted data points are linked together using lines in these sorts of data visualisation to display patterns over time and contrast various data points. Line charts may be handy when you need to visually display trends found in huge datasets across a marketing campaign while continuously collecting data.

Dual-axis charts are a common style of data visualisation used to compare two datasets and provide a quick way to spot any patterns or links. In order to compare data sets reliably and effectively, dual-axis charts integrate visual components like bar graphs and line charts, eliminating the need for two distinct data visualisations to highlight patterns or make connections.

A: Data interpretation, consolidation, visualisation, and sharing with your audience are all accomplished using data visualisation approaches. These methods might entail drawing graphs, graphing data points, mapping data, or diagramming processes or behaviours.

The variables that need to be visualised and communicated to your audience will determine the visualisation technique you use. Charts can provide a quick and simple snapshot analysis that saves the reader from having to interpret the data and draw conclusions or make predictions based on the data themselves, whereas graphs can compare multiple variables and illustrate patterns over time.

The main goals of data visualization are to extract and translate large amounts of complex information into a visual context, such as a graph or chart, and make this information easier to comprehend or interpret.

Beyond interpreting data into comprehensive images designed to help drive decision-making, data visualization achieves several critical goals including: 

• Showing trends, highlighting correlations, or demonstrating comparisons between data over time, which is then used to drive decision-making and quantify the effectiveness of campaigns 
• Identifying market share, also known as "share of voice," can then be used better to understand your competition and the effectiveness of campaigns. 
• Highlight pertinent data points amongst larger data sets to help you locate and pinpoint helpful information, such as the strengths and weaknesses of marketing campaigns across different channels
• Data can be challenging to analyze in the form of numbers and spreadsheets, especially in large sets. With data visualization, complex datasets are transformed into a combination of understandable visuals and information.    

A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo a rigorous technical and behavioral interview and assessment process before they are onboarded in the company.

Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.

Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects, and case studies during the training program.

Our faculty will quickly provide you with the knowledge of each course from the fundamental level, and you are free to ask your doubts at any time from your respective faculty.

Our trainers have the patience and ability to explain complex concepts simplistically with depth and width of knowledge.

To ensure quality learning, we provide support sessions even after the training program.

A: To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs. 

A: We would always recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.

A: Radiant Techlearning has a data center containing a Virtual Training environment for participants' hand-on-practice. 

Participants can easily access these labs over Cloud with the help of a remote desktop connection. 

Radiant virtual labs allow you to learn from anywhere and in any time zone. 

A: The learners will be enthralled as we engage them in the natural world and Oriented industry projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments.