Complete Tableau Course Data Analysis and Visualizations

What you'll learn

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Connect to data sources and prepare data for analysis using Tableau.
Create and customize interactive data visualizations, including charts, maps, scatter plots, treemaps, bubble charts, pie charts, and funnel charts.
Use sorting, grouping, hierarchies, sets, filters, and parameters to explore and analyze data effectively.
Create calculated fields and apply logical functions, quick table calculations, and other calculations to solve business problems.
Understand continuous and discrete fields, measure names, and measure values to build effective Tableau visualizations.
Build interactive Tableau dashboards using filters, highlight actions, filter actions, URL actions, and dashboard options.
Create Tableau story points and present data insights in a clear and meaningful way.
Export Tableau visualizations and share analysis results with others.
Requirements

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No prior experience with Tableau is required. This course is designed for complete beginners.
A computer or laptop capable of running Tableau is required.
Students should install Tableau Desktop or Tableau Public to follow along with the hands-on exercises.
Basic computer skills, including working with files and spreadsheets, are helpful but not required.
A willingness to practice and explore data through hands-on exercises.
Description

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Tableau is one of the most in-demand data visualization tools used by data analysts, business intelligence professionals, and decision-makers worldwide. Whether you're a complete beginner or looking to sharpen your skills, this course takes you from installing Tableau to building fully interactive, professional dashboards - step by step.
You'll learn how to connect to real data sources, clean and prepare your data, build powerful calculated fields, design stunning charts and maps, and bring everything together into interactive dashboards that tell a story with data.
- Install and set up Tableau, and connect to multiple data sources
- Understand the Tableau data model and switch between data sources
- Clean and prepare data - hide/unhide columns, change data types, split columns, and sort data
- Use hierarchies, groups, and advanced sorting to organize your data
- Work with Measure Names, Measure Values, continuous vs. discrete fields, and Sets
- Build basic to advanced filters, including date ranges, interactive filters, and conditional filters
- Enhance visualizations using size, color, labels, tooltips, shapes, and detail marks
- Create dynamic Top N analysis using parameters
- Write calculated fields for profit margin, markup %, shipping status, and more
- Apply quick table calculations and logical functions
- Build scatter plots, word maps, bubble charts, treemaps, funnel charts, pie charts, and maps
- Add interactivity with highlight actions, filter actions, URL actions, and story points
- Design and build a complete, interactive Tableau dashboard from start to finish
- Export workbooks and visualizations, and add reference lines and distribution bands
- Polish your work with titles, captions, and professional formatting
Who this course is for

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Complete beginners who want to learn Tableau from scratch and have little or no previous Tableau experience.
Students and graduates who want to develop practical data analysis and data visualization skills using Tableau.
Business and data professionals who want to create charts, reports, interactive visualizations, and dashboards from their data.
Excel users and professionals working with spreadsheets who want to move beyond traditional spreadsheet reporting and build interactive Tableau dashboards.
Aspiring data analysts and business analysts who want to add Tableau and data visualization to their professional skill set.
Professionals who need to present data and business insights visually using charts, maps, filters, parameters, and interactive dashboards.
Anyone preparing to use Tableau in a workplace environment and looking for practical, hands-on experience with Tableau Desktop.
The course starts with Tableau fundamentals and gradually progresses to more practical and advanced visualization techniques.
Homepage

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