Tableau:

Tableau is a business intelligence and data visualization tool that allows users to connect to various data sources, visualize and create interactive, sharable dashboards. It enables analysts, business users, and data scientists to explore and analyze data sets, create insightful visualizations, and share them with colleagues or embed them in web pages or presentations.

Tableau is a widely used data analytics and visualization tool that helps people see and understand their data.

Tableau is known for its ease of use, powerful data visualization capabilities, and ability to handle large and complex datasets, making it a popular choice among analysts and businesses for data analysis and decision-making.

Key features of Tableau include:

• Data Connection: Tableau can connect to a wide range of data sources, including databases, spreadsheets, cloud applications, and more.
• Visualization: Users can create a variety of interactive visualizations such as charts, graphs, maps, and dashboards.
• Drag-and-Drop Interface: Tableau’s intuitive interface allows users to drag and drop data fields to create visualizations without needing extensive programming or SQL knowledge.
• Data Blending: It allows users to blend data from multiple sources into a single visualization or dashboard.
• Dashboards and Stories: Users can combine multiple visualizations into interactive dashboards and create compelling data stories to convey insights.
• Sharing and Collaboration: Tableau enables users to share their visualizations and dashboards securely within an organization or publicly on the web.

Why to use Tableau?

Tableau is used for a variety of reasons across different industries and sectors. Here are some key reasons why Tableau is widely adopted:

1. Data Visualization: Tableau excels in creating interactive and visually appealing data visualizations such as charts, graphs, maps, and dashboards. These visualizations help users to quickly understand trends, patterns, and outliers in data, enabling better decision-making.
2. Ease of Use: Tableau’s drag-and-drop interface makes it accessible to users with varying levels of technical expertise. You don’t need extensive programming skills to create sophisticated visualizations or perform complex data analysis tasks.
3. Data Integration: Tableau connects to a wide range of data sources including databases, spreadsheets, cloud applications, and more. It allows users to blend and combine data from different sources into a single visualization or dashboard.
4. Interactivity: Visualizations created in Tableau are interactive, allowing users to drill down into specific data points, filter data, and explore different aspects of the data dynamically. This interactivity enhances the analytical capabilities of users.
5. Performance: Tableau is optimized for handling large datasets and complex queries efficiently. It can process and visualize millions of rows of data quickly, enabling real-time or near real-time analytics.
6. Scalability: Whether you are a small team or a large enterprise, Tableau scales effectively to meet your data visualization and analytics needs. It can be deployed on-premises or in the cloud, accommodating diverse organizational requirements.
7. Collaboration and Sharing: Tableau allows users to share their visualizations, dashboards, and insights with colleagues securely within an organization or publicly on the web. This promotes collaboration and facilitates data-driven decision-making across teams.
8. Advanced Analytics: Tableau offers advanced analytics capabilities such as statistical analysis, forecasting, clustering, and more through integrations with statistical tools like R and Python. This helps users to derive deeper insights from their data.
9. Support and Community: Tableau has a strong user community and extensive support resources, including forums, knowledge base, and training materials. This makes it easier for users to learn Tableau, troubleshoot issues, and stay updated with new features.

Where to use Tableau?

Tableau is a versatile tool that can be used across various industries and functions where data analysis and visualization are critical. Here are some common areas where Tableau is used:

• Energy and Utilities: Tableau is used in the energy sector for analyzing consumption patterns, operational efficiency, grid management, and renewable energy integration. It helps utilities optimize resource allocation and improve sustainability efforts.ems. Its extensive features and capabilities make it suitable for a wide range of testing needs across various development and operational contexts.
• Business Intelligence and Analytics: Tableau is extensively used for business intelligence (BI) and analytics purposes across industries. It helps businesses analyze performance metrics, track KPIs (Key Performance Indicators), and derive actionable insights from data.
• Financial Services: In finance, Tableau is used for financial reporting, portfolio analysis, risk management, and fraud detection. It enables financial institutions to visualize market trends, monitor investments, and optimize financial strategies.
• Healthcare and Life Sciences: Tableau is used in healthcare for analyzing patient data, operational efficiency, clinical outcomes, and resource allocation. It helps healthcare providers and researchers visualize trends, patterns, and correlations in medical data.
• Retail and E-commerce: Retailers use Tableau for sales analysis, customer segmentation, inventory management, and marketing analytics. It helps them understand consumer behavior, optimize pricing strategies, and improve operational efficiency.
• Manufacturing and Supply Chain: Tableau is employed in manufacturing for supply chain analytics, production monitoring, quality control, and predictive maintenance. It enables manufacturers to optimize production processes and minimize downtime.
• Government and Public Sector: Government agencies use Tableau for data-driven policy making, performance management, budget analysis, and public service delivery optimization. It helps visualize and communicate data to stakeholders effectively.
• Education and Research: Tableau is used in education for student performance analysis, institutional research, and administrative reporting. Researchers utilize Tableau for visualizing research findings, data exploration, and collaboration.
• Marketing and Advertising: Marketers use Tableau for campaign performance analysis, customer segmentation, ROI (Return on Investment) tracking, and social media analytics. It helps marketers optimize marketing strategies and allocate resources effectively.
• Human Resources: HR departments utilize Tableau for workforce analytics, recruitment analysis, employee engagement measurement, and talent management. It helps HR professionals make data-driven decisions to improve organizational effectiveness.

Module 1: Tableau Course Material

• Start Page
• Show Me
• Connecting to Excel Files
• Connecting to Text Files
• Connect to Microsoft SQL Server
• Connecting to Microsoft Analysis Services
• Creating and Removing Hierarchies
• Bins
• Joining Tables
• Data Blending

Module 2: Learn Tableau Basic Reports

• Parameters
• Grouping Example 1
• Grouping Example 2
• Edit Groups
• Set
• Combined Sets
• Creating a First Report
• Data Labels
• Create Folders
• Sorting Data
• Add Totals, Subtotals and Grand Totals to Report

Module 4: Learn Tableau Advanced Reports

• Dual Axis Reports
• Blended Axis
• Individual Axis
• Add Reference Lines
• Reference Bands
• Reference Distributions
• Basic Maps
• Symbol Map
• Use Google Maps
• Mapbox Maps as a Background Map
• WMS Server Map as a Background Map

Module 5: Learn Tableau Calculations & Filters

• Calculated Fields
• Basic Approach to Calculate Rank
• Advanced Approach to Calculate Ra
• Calculating Running Total
• Filters Introduction
• Quick Filters
• Filters on Dimensions
• Conditional Filters
• Top and Bottom Filters
• Filters on Measures
• Context Filters
• Slicing Filters
• Data Source Filters
• Extract Filters

Module 6: Learn Tableau Dashboards

• Create a Dashboard
• Format Dashboard Layout
• Create a Device Preview of a Dashboard
• Create Filters on Dashboard
• Dashboard Objects
• Create a Story

Module 7: Server

• Tableau online.
• Overview of Tableau
• Publishing Tableau objects and scheduling/subscription.