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Data Visualisation Tools

Data Visualisation Tools

6000

Data visualization tools aims to help people see and understand data. It simply converts  raw data into a very easily understandable format. In the world of big data, these tools  help to analyze massive amounts of information and make data-driven decisions. By using  visual elements like charts, graphs, and maps these tools provide an accessible way of to  see and understand trends, outliers, and patterns in data.

Category:

Description

Data visualization tools aims to help people see and understand data. It simply converts  raw data into a very easily understandable format. In the world of big data, these tools  help to analyze massive amounts of information and make data-driven decisions. By using  visual elements like charts, graphs, and maps these tools provide an accessible way of to  see and understand trends, outliers, and patterns in data.

❖ TABLEAU  

Tableau is often regarded as the grand Master of Data Visualization software. Tableau has a  very large customer base of 57,000+ accounts across many industries due to its simplicity of  use and ability to produce interactive visualizations.

Points to Cover- 

• Introduction to Tableau

• Connecting to Data- Joining & Blending

• Building and Formatting Views

• Basic Charts

• Descriptive Statistics, Dimensions and Measures

• Mapping

• Sorting and Filtering

• Sets

• Trend Lines and Forecasts

• Calculated Fields & Table Calculation

• Level of Detail Expressions

• Dashboards

• Special Chart Types

• Storytelling through data

❖ Microsoft Power BI 

The term Business Intelligence refers collectively to the tools and technology used for the  collection, integration, visualization, and analysis of raw dataIn today’s time, with ever  increasing amounts of free-flowing data, efficient BI tools are important to make the most of  the knowledge that hides itself in raw and unprocessed data. Microsoft Power BI is well known  for its easy-to-use functionality for data preparation and data visualization.

Points to Cover-

• Introduction to Power BI

• Downloading and Adjusting settings

• Get the data

• Text Tools, Pivot & unpivoting Data

• Create Table Relationships

• Create Data Models

• Data Analysis Expression Calculations

• Create a Report with Visualizations

• Modify and Print a Report