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Tableau course in jalandhar

TechCadd offers the best Tableau course in Jalandhar , Punjab. Gain practical experience, expert mentorship, and career-focused skills for both beginners and professionals.<br>Visit now:https://techcadd.com/best-tableau-course-in-jalandhar.php

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Tableau course in jalandhar

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  1. Tableau course in jalandhar

  2. 1 Content: 1.Title 2.Course overview 3.What is tableau? 4.Tableau Products 5.Tableau interface overview 6.Connecting to data 7.Data preparation 8.Creating visualisations 9.Filters and sorting 10.Calculated fields 11.Parameters and sets 12.Dashboards and stories 13.Conclusion

  3. TITLE: • Course Title: Tableau Training Course • Subtitle: Data Visualization & Business Intelligence • Presented by: [Your Name or Organization] • Date

  4. COURSE OVERVIEW: • Course Title: Tableau Training Course • Subtitle: Data Visualization & Business Intelligence • Presented by: [Your Name or Organization] • Date

  5. WHAT IS TABLEAU? • Definition and history • Tableau as a BI and data visualization tool • Key features of Tableau

  6. Tableau Desktop • Tableau Server • Tableau Online • Tableau Public • Tableau Prep TABLEAU PRODUCTS:

  7. Workspace layout • Toolbar, data pane, shelves • Worksheet vs Dashboard vs Story TABLEAU INTERFACE OVERVIEW:

  8. CONNECTING TO DATA: • Supported data sources • Live vs Extract connections • Importing and managing data

  9. DATA PREPARATION: • Data Interpreter • Data types and data blending • Joins and Unions

  10. CREATING VISUALISATIONS: • Charts: Bar, Line, Pie, Maps, etc. • Show Me panel • Best practices for choosing charts

  11. FILTERS AND SORTING • Applying filters • Context and quick filters • Sorting data for clarity -

  12. Basic calculations • Logical expressions (IF, CASE) • Table calculations (RUNNING_SUM, etc.) CALCULATED FIELDS:

  13. PARAMETERS AND SETS • Creating and using parameters • Dynamic visualizations • Using sets for advanced segmentation

  14. DASHBOARDS AND STORIES: • Combining worksheets • Interactive dashboards • Storytelling with data

  15. CONCLUSION: • Recap of key topics • Resources for further learning • Q&A or Feedback • Certification or practice suggestions

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