
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 data. In 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