Tableau Beginner

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Course Content

1. Introduction to Tableau
What is Data Visualization & Why is it important ? https://www.tableau.com/data-insights/data-visualization/advantages-disadvantages https://www.beyondkey.com/blog/what-is-tableau/

2. Connecting to Data Sources in Tableau
A. Research on : Overview of different data sources (Excel, CSV, SQL databases, cloud sources). Connecting and importing data into Tableau. Understanding dimensions vs. measures, discrete vs. continuous data. Data preparation techniques (cleaning and formatting data in Tableau). B. Refer to : Data sources intro:https://www.tableau.com/drive/data-sources-intro https://www.geeksforgeeks.org/tableau-connect-to-a-data-source/ https://help.tableau.com/current/server/en-us/datasource.htm https://help.tableau.com/current/online/en-us/datasource_using.htm

3. Creating Basic Visualizations
Research Topics: a. Understanding different chart types (bar charts, line charts, pie charts, scatter plots). b. Building your first dashboard using drag-and-drop features. c. Sorting, filtering, and using calculated fields. d. Hands-on practice: Creating a simple sales dashboard.

4. Interactive Dashboards and Storytelling
https://www.youtube.com/watch?v=Y22CBLeHffg

5. Conclusion: Next Steps in Tableau
As we come to the end of this Tableau Beginner Course, it's important to reflect on what we have learned and explore how to continue building on these skills. This conclusion will provide a recap of key concepts, suggest resources for further learning, highlight real-world applications of Tableau, and introduce a final hands-on project to reinforce your understanding. Recap of Key Concepts Covered Throughout this course, we have explored the fundamental aspects of Tableau and its role in data visualization. Here’s a brief summary of what we covered: Introduction to Tableau Understanding Tableau’s role in data analytics. Exploring the Tableau interface and its different versions. Installing and setting up Tableau for analysis. Connecting to Data Sources Importing data from various sources (Excel, CSV, SQL databases). Understanding dimensions vs. measures and discrete vs. continuous data. Preparing and cleaning data for visualization. Creating Basic Visualizations Building different chart types (bar charts, line graphs, pie charts, scatter plots). Using filters, sorting, and calculated fields. Designing and customizing dashboards. Interactive Dashboards and Storytelling Adding interactivity using filters, parameters, and dashboard actions. Best practices for designing effective dashboards. Presenting data-driven stories to communicate insights. By mastering these foundational concepts, you are now equipped with the essential skills needed to analyze and visualize data effectively using Tableau.

A course by

MS
Martin Sure
Software Engineer

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Course Includes:

  • Price:Free
  • Instructor:Martin Sure
  • Duration: 12 hours 10 minutes
  • Lessons:4
  • Students:0
  • Level:Beginner
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