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Tableau

Tableau is a powerful and versatile data visualization tool used in the business intelligence industry. It allows users to create interactive and shareable dashboards that present data insights in a visually appealing way. Here's an introduction to Tableau covering its key aspects

Tableau is recognized for its ability to transform raw data into actionable insights through intuitive visualizations and robust analytics capabilities, making it a preferred choice for organizations seeking to leverage their data effectively.

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Tableau is a powerful and versatile data visualization tool used in the business intelligence industry. It allows users to create interactive and shareable dashboards that present data insights in a visually appealing way. Here's an introduction to Tableau covering its key aspects Tableau is recognized for its ability to transform raw data into actionable insights through intuitive visualizations and robust analytics capabilities, making it a preferred choice for organizations seeking to leverage their data effectively.

1. Data Connection and Integration:

  • Tableau can connect to various data sources including databases, spreadsheets, cloud applications, and more.
  • It supports live connections as well as importing data for offline analysis.

2. Data Visualization:

  • Users can create a wide range of interactive visualizations such as charts, graphs, maps, and dashboards.
  • Visualizations are highly customizable with options to adjust colors, fonts, layouts, and more.

3. Dashboard Creation:

  • Dashboards in Tableau allow users to combine multiple visualizations onto a single screen.
  • Interactivity is a key feature, where users can filter and drill down into data dynamically.

4. Analytics and Calculations:

  • Tableau includes built-in calculations and formulas for basic and advanced analytics.
  • Users can create custom calculations using Tableau’s formula language (Tableau Calculation Language).

5. Mapping Capabilities:

  • Geographic data can be visualized using Tableau’s mapping features, allowing users to plot data points on maps.
  • It supports a variety of map styles and layers to enhance geographical analysis.

6. Collaboration and Sharing:

  • Tableau allows users to publish and share their visualizations and dashboards securely.
  • It supports embedding visualizations into websites and sharing via Tableau Server or Tableau Online.

7. Ease of Use and Learning:

  • Tableau’s user interface is designed to be intuitive, making it accessible to both technical and non-technical users.
  • There are resources available such as training videos, forums, and documentation to support learning.

8. Advanced Features:

  • Advanced features include integration with R and Python for statistical analysis and predictive modelling.
  • Tableau Prep can be used for data preparation tasks, such as cleaning and transforming data before visualization.

9. Scalability and Performance:

  • Tableau is scalable from individual users to large enterprises, supporting thousands of users concurrently.
  • Performance optimizations allow for handling large datasets and generating visualizations quickly.

10. Deployment Options:

  • Tableau can be deployed on-premises (Tableau Server) or in the cloud (Tableau Online), offering flexibility based on organizational needs.

1.Who can join?

The Tableau platform offers courses and certifications suitable for a wide range of individuals, from beginners to advanced users.

  • Beginners: Those who are new to Tableau and data visualization.
  • Intermediate Users: Individuals with some experience in Tableau looking to enhance their skills.
  • Advanced Users: Users who want to master advanced features, analytics, and integration capabilities of Tableau.

2. Requirements:

  • Understanding of Data Concepts: Familiarity with concepts like data types (numeric, categorical), data formats (CSV, Excel), and data structures (tables, rows, columns).
  • Analytical Mindset: A mindset geared towards analyzing data and deriving insights is beneficial.

3. Prerequisites:

  • No Formal Prerequisites: Most introductory Tableau courses do not require prior Tableau experience.
  • Background Knowledge: Courses might assume basic knowledge of data analysis concepts but often start from foundational principles.
  • Specific Requirements: Some advanced courses or certifications may have prerequisites in terms of prior Tableau experience or completion of specific introductory courses.

1. Ease of Use and Accessibility:

  • Tableau has an intuitive drag-and-drop interface that allows users to create visualizations without needing extensive programming knowledge.
  • Users can quickly explore and analyze data by simply dragging fields onto shelves and adjusting settings.

2. Powerful Visualizations:

  • Tableau enables the creation of highly interactive and visually appealing dashboards and visualizations.
  • Supports a wide range of chart types, graphs, maps, and other visualization options to effectively represent data insights.

3. Data Connectivity and Integration:

  • Tableau connects to a variety of data sources including databases, spreadsheets, cloud services, and web data connectors.
  • Provides options for live connections and data extracts, ensuring users can work with up-to-date data.

4. Scalability and Performance:

  • Tableau is designed to handle large datasets and complex queries efficiently.
  • Features like data extracts, data blending, and in-memory processing optimize performance and ensure responsiveness even with extensive data volumes.

5. Interactivity and Drill-Down Capabilities:

  • Users can interact with visualizations by filtering, sorting, and drilling down into specific data points.
  • Supports dynamic parameters and actions that enhance interactivity and allow for deeper exploration of data.

6. Advanced Analytics and Calculations:

  • Tableau includes powerful analytics capabilities such as trend analysis, forecasting, statistical functions, and clustering.
  • Users can create complex calculations and custom calculations using Tableau's calculation language.

7. Integration with External Tools:

  • Integrates seamlessly with R and Python for advanced analytics and statistical modelling.
  • Can be embedded into web applications and integrated with other BI tools and platforms for comprehensive data analysis workflows.

8. Real-Time Data Analysis:

  • Enables real-time data analysis and monitoring through live data connections and automatic updates.
  • Suitable for applications requiring up-to-the-minute insights and monitoring of key metrics.

1. Business Intelligence and Reporting:

  • Used extensively for business intelligence (BI) to create dashboards and reports that provide actionable insights into business performance, trends, and KPIs.

2. Data Analysis and Exploration:

  • Facilitates data exploration and analysis across various domains including sales analysis, marketing analytics, financial reporting, and operational efficiency.

3. Decision Support and Strategy Formulation:

  • Supports decision-making processes by visualizing data trends, patterns, and outliers that influence strategic decisions and planning.

4. Operational Analytics and Performance Monitoring:

  • Helps organizations monitor operational metrics, track performance against goals, and identify areas for improvement in real-time.

5. Customer Analytics and Segmentation:

  • Analyzes customer behavior, preferences, and segmentation to optimize marketing strategies, customer engagement, and retention efforts.

6. Healthcare and Scientific Research:

  • Applied in healthcare for analyzing patient data, medical research outcomes, and operational efficiency in healthcare facilities.
  • Education and Institutional Research:
  • Used in educational institutions for student performance analysis, enrollment trends, and resource allocation planning.

7. Government and Public Sector:

  • Supports government agencies in analyzing public data, monitoring service delivery, and policy evaluation.

1. Tableau Desktop

  • The primary authoring tool where users create visualizations and dashboards.
  • Allows connecting to data sources, building worksheets, and assembling dashboards.

2. Tableau Server

  • Facilitates sharing and collaboration of Tableau workbooks and dashboards within organizations.
  • Provides web-based analytics and data visualization.

3. Tableau Online

  • A cloud-based version of Tableau Server hosted by Tableau.
  • Enables organizations to publish and share dashboards securely over the internet.

4. Tableau Prep

  • Data preparation tool that helps clean, shape, and transform data for analysis in Tableau.
  • Allows users to combine, pivot, split, and aggregate data before visualization.

5. Tableau Mobile

  • Allows users to view and interact with Tableau dashboards on mobile devices.
  • Supports responsive design for optimal viewing and usability on smartphones and tablets.

1. Connecting to Data Sources

  • Connecting to various data sources such as databases (SQL, NoSQL), spreadsheets (Excel), cloud services (AWS, Google Cloud), and more.

2. Data Visualization

  • Creating different types of visualizations including bar charts, line charts, scatter plots, histograms, pie charts, and maps.
  • Customizing visualizations with colors, labels, tooltips, and formatting options.

3. Calculations and Expressions

  • Using calculated fields and table calculations to perform advanced analytics and derive new insights from data.
  • Implementing logic, aggregation functions, and date functions within Tableau.

4. Dashboard and Story Creation

  • Designing interactive dashboards that combine multiple visualizations into a single view.
  • Creating stories to present a sequence of visualizations that convey a narrative or analysis.

5. Mapping and Spatial Analysis

  • Integrating geographic data and creating maps to visualize spatial relationships and patterns.
  • Using built-in geocoding and custom geographies to map data points.

6. Advanced Analytics and Forecasting

  • Applying statistical techniques such as trend lines, forecasting, and clustering within Tableau.
  • Utilizing R and Python integration for advanced analytics and predictive modeling.

7. Sharing and Collaboration

  • Publishing workbooks and dashboards to Tableau Server or Tableau Online for sharing with stakeholders.
  • Embedding visualizations into web pages or applications for broader accessibility.

8. Performance Optimization

  • Techniques for improving dashboard performance, including data extracts, data blending, and optimizing queries.
  • Design best practices to ensure dashboards load quickly and handle large datasets efficiently.

9. Security and Administration

  • Managing user permissions, access controls, and data security settings in Tableau Server or Tableau Online.
  • Configuring schedules for data refreshes, backups, and server maintenance tasks.

10. Integration with Other Tools and Platforms

  • Integrating Tableau with other business intelligence tools, data warehouses, and analytics platforms for seamless data flow and analysis.

Online Weekend Sessions: 09 - 12 | Duration: 40 to 45 Hours

 1.Tableau Basics

  • Tableau – Navigation
  • Start Page in Tableau
  • Tableau – Design Flow
  • Tableau – File System
  • Tableau – Data Types
  • How to change Data type in Tableau?
  • Show Me in Tableau

2.Working with Data Sources

  •  Tableau – Connect to a data source
  •  Import Excel file in Tableau
  •  Data Cleaning in Tableau
  •  Tableau – Join databases
  •  Joining data files with inconsistent labels
  •  Data Blending
  •  Replacing Data source
  •  Tableau – Split the text to columns
  •  Tableau – Displaying data in Worksheet
  •  Tableau – Adding, Renaming and duplicating worksheets

3.Visualization using Tableau

  • Create Visualization
  • Change the order in visualization
  • Change the summary

4.Tableau Calculations

  • Tableau – Operators
  • IF Function in Tableau
  • Aggregate Functions in Tableau
  • Create Calculated Field in Tableau
  • Logical Functions in Tableau
  • Case Function in Tableau
  • Highlight Tables in Tableau
  • Quick Table Calculation in Tableau
  • LOD Calculation

5.Sort and Filter with Tableau

  • Filtering in Visualization in Tableau
  • Quick Filter in Tableau
  • Context Filter in Tableau
  • Conditional Filter in Tableau
  • Slicing Filter in Tableau
  • Grouping in Visualization in Tableau
  • Hierarchy in Tableau
  • Set in Tableau
  • Combined Set in Tableau
  • Parameters in Tableau
  • Tableau Bins
  • Manual Sorting of Visualization in Tableau
  • Sorting by Data Source order in Visualization in Tableau
  • Sorting by field in Visualization in Tableau

6.Different Charts in Tableau

  • Line graph in Tableau
  • Dual Lines Chart in Tableau
  • Bar Chart in Tableau
  • Side-by-Side Bars in Tableau
  • Stacked Bars in Tableau
  • Histogram in Tableau
  • Cumulative Histogram in Tableau
  • Scatter plot in Tableau
  • Bubble Chart in Tableau
  • Pie chart in tableau
  • Crosstab in tableau
  • Total in a crosstab by column in Tableau
  • Box Plot in Tableau
  • Bullet Graph in Tableau
  • Area Chart in Tableau
  • Heat Map in Tableau
  • Basic Map in Tableau
  • Geographical plot in Tableau
  • Lollipop Chart in Tableau
  • Circle views in Tableau
  • Dual Combination Chart in Tableau
  • Tree map in Tableau
  • Funnel Chart in Tableau
  • Traditional Funnel Chart in Tableau
  • Waterfall Chart in Tableau

7.Working with Dashboards

  • Create a Dashboard in Tableau
  • Text Object on Dashboard in Tableau
  • Image Object on Dashboard in Tableau
  • Tableau – Objects on Dashboard
  • Tableau – Filters in Dashboard
  • Tableau – Device Preview
  • Format Dashboard Layout in Tableau

8.Advance Tableau Topics

  • Forecast in Tableau
  • Reference line in Tableau
  • Reference Band in Tableau
  • Reference Distribution Band in Tableau
  • Trend Lines in Tableau
  • Tableau – Building up a storyline
  • Word Cloud in Tableau

Courses

Course Includes:

  • Instructor : Ace Infotech
  • Duration: 09 - 12 Weekends
  • book iconHours: 40 TO 45
  • Enrolled: 651
  • Language: English
  • Certificate: YES

Pay only Rs.99 For Demo Session

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