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Tableau for Beginners: Master Data Visualization

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Tableau for Beginners: Master Data Visualization, available at $54.99, has an average rating of 4.8, with 47 lectures, based on 5 reviews, and has 28 subscribers.

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You will learn about The fundamentals of Tableau and its applications in data visualization. How to navigate the Tableau interface and configure settings. Building a variety of basic and advanced visualizations such as bar charts, line charts, scatter plots, maps, heat maps, treemaps, and more. Creating interactive dashboards with filters and interactivity. Storytelling with data by creating data narratives and adding annotations. Sharing and collaboration features in Tableau, including publishing to Tableau Server or Tableau Public. Exporting and embedding Tableau visualizations in other applications. This course is ideal for individuals who are Beginners: Individuals who are new to Tableau and data visualization and want to acquire a solid foundation in using Tableau for creating compelling visualizations and dashboards. or Data Analysts: Data analysts who want to enhance their data visualization skills and leverage Tableau's capabilities to present data in a more impactful and interactive way. or Business Professionals: Business professionals who work with data and want to learn how to analyze and present it effectively using Tableau. This includes professionals from fields such as marketing, finance, operations, and human resources. or Data Enthusiasts: Individuals who have a passion for data and want to explore Tableau as a tool for exploring and visualizing data in a dynamic and engaging manner. or Students and Researchers: Students and researchers who need to analyze and present data as part of their academic or research projects can benefit from learning Tableau to create visually appealing and informative visualizations. or Anyone Seeking Career Advancement: Individuals who want to enhance their job prospects and career advancement opportunities in roles related to data analysis, business intelligence, data visualization, or data-driven decision making. It is particularly useful for Beginners: Individuals who are new to Tableau and data visualization and want to acquire a solid foundation in using Tableau for creating compelling visualizations and dashboards. or Data Analysts: Data analysts who want to enhance their data visualization skills and leverage Tableau's capabilities to present data in a more impactful and interactive way. or Business Professionals: Business professionals who work with data and want to learn how to analyze and present it effectively using Tableau. This includes professionals from fields such as marketing, finance, operations, and human resources. or Data Enthusiasts: Individuals who have a passion for data and want to explore Tableau as a tool for exploring and visualizing data in a dynamic and engaging manner. or Students and Researchers: Students and researchers who need to analyze and present data as part of their academic or research projects can benefit from learning Tableau to create visually appealing and informative visualizations. or Anyone Seeking Career Advancement: Individuals who want to enhance their job prospects and career advancement opportunities in roles related to data analysis, business intelligence, data visualization, or data-driven decision making.

Enroll now: Tableau for Beginners: Master Data Visualization

Summary

Title: Tableau for Beginners: Master Data Visualization

Price: $54.99

Average Rating: 4.8

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: ₦8,500

Quality Status: approved

Status: Live

What You Will Learn

  • The fundamentals of Tableau and its applications in data visualization.
  • How to navigate the Tableau interface and configure settings.
  • Building a variety of basic and advanced visualizations such as bar charts, line charts, scatter plots, maps, heat maps, treemaps, and more.
  • Creating interactive dashboards with filters and interactivity.
  • Storytelling with data by creating data narratives and adding annotations.
  • Sharing and collaboration features in Tableau, including publishing to Tableau Server or Tableau Public.
  • Exporting and embedding Tableau visualizations in other applications.

Who Should Attend

  • Beginners: Individuals who are new to Tableau and data visualization and want to acquire a solid foundation in using Tableau for creating compelling visualizations and dashboards.
  • Data Analysts: Data analysts who want to enhance their data visualization skills and leverage Tableau's capabilities to present data in a more impactful and interactive way.
  • Business Professionals: Business professionals who work with data and want to learn how to analyze and present it effectively using Tableau. This includes professionals from fields such as marketing, finance, operations, and human resources.
  • Data Enthusiasts: Individuals who have a passion for data and want to explore Tableau as a tool for exploring and visualizing data in a dynamic and engaging manner.
  • Students and Researchers: Students and researchers who need to analyze and present data as part of their academic or research projects can benefit from learning Tableau to create visually appealing and informative visualizations.
  • Anyone Seeking Career Advancement: Individuals who want to enhance their job prospects and career advancement opportunities in roles related to data analysis, business intelligence, data visualization, or data-driven decision making.

Target Audiences

  • Beginners: Individuals who are new to Tableau and data visualization and want to acquire a solid foundation in using Tableau for creating compelling visualizations and dashboards.
  • Data Analysts: Data analysts who want to enhance their data visualization skills and leverage Tableau's capabilities to present data in a more impactful and interactive way.
  • Business Professionals: Business professionals who work with data and want to learn how to analyze and present it effectively using Tableau. This includes professionals from fields such as marketing, finance, operations, and human resources.
  • Data Enthusiasts: Individuals who have a passion for data and want to explore Tableau as a tool for exploring and visualizing data in a dynamic and engaging manner.
  • Students and Researchers: Students and researchers who need to analyze and present data as part of their academic or research projects can benefit from learning Tableau to create visually appealing and informative visualizations.
  • Anyone Seeking Career Advancement: Individuals who want to enhance their job prospects and career advancement opportunities in roles related to data analysis, business intelligence, data visualization, or data-driven decision making.

The Tableau for Beginners: Master Data Visualization course is a comprehensive and detailed program designed to provide individuals with little to no prior experience with Tableau the necessary knowledge and skills to effectively utilize this powerful data visualization and business intelligence tool.

Throughout this course, participants will embark on a hands-on learning journey, guided by step-by-step tutorials, practical exercises, and real-world examples. The course begins by introducing students to the Tableau interface, helping them become familiar with its features and functionalities.

One of the primary focuses of the course is teaching participants how to connect Tableau to diverse data sources. Students will gain proficiency in importing data from various file formats, including Excel spreadsheets, CSV files, and databases. They will learn how to navigate Tableau’s data types and roles, allowing them to properly manipulate and analyze the imported data.

The Tableau for Beginners: Master Data Visualization course culminates in a final project, where students can apply their newly acquired skills to a real-world scenario. This project provides an opportunity to showcase the knowledge gained throughout the course and present a polished and insightful data visualization.

By the end of the course, participants will have a solid foundation in Tableau and will be proficient in creating visually compelling and informative data visualizations and dashboards. They will possess the confidence and skills necessary to explore and present data effectively, making informed decisions and conveying insights in a clear and impactful manner.

Course Curriculum

Chapter 1: Introduction to Tableau

Lecture 1: Course Overview

Lecture 2: Understanding the Role of Tableau in Data Visualization

Lecture 3: Introduction to Tableau and Installing Tableau

Lecture 4: Understanding the Tableau Interface and Navigation

Chapter 2: Connecting to Data

Lecture 1: Connecting to Data Sources

Lecture 2: Understanding Tableau Data Types

Lecture 3: Filtering and Sorting Data

Lecture 4: Handling Missing Values

Lecture 5: Combining Data from Multiple Sources

Lecture 6: Joining Data in Tableau

Lecture 7: Blending Data in Tableau

Chapter 3: Data Manipulation and Analysis

Lecture 1: Tableau Order of Operation

Lecture 2: Creating Calculated Fields and Using Basic Functions

Lecture 3: Creating Calculated Fields and Using Basic Functions 2

Lecture 4: Creating Calculated Fields and Using Basic Functions 3

Lecture 5: Using Hierarchies for Data Organization

Lecture 6: Using Group and Set for Data Organization

Chapter 4: Building Visualizations

Lecture 1: Exploring Tableau Visual Interface

Lecture 2: Building Basic Charts

Lecture 3: Formatting and Customizing Charts 1

Lecture 4: Formatting and Customizing Charts 2

Lecture 5: Formatting and Customizing Charts 3

Lecture 6: Building Other Charts in Tableau

Lecture 7: Dual Axis Charts and Shared Axis Charts

Lecture 8: Using Analytics Tab in Tableau

Lecture 9: Working with Hierarchies

Lecture 10: Working with Maps

Lecture 11: Working with Maps 2

Lecture 12: Working with Filters

Lecture 13: Context Filter

Lecture 14: Working with Parameters

Lecture 15: Display Multiple Dimensions using a single measure

Lecture 16: Display Multiple measures using a single dimension

Chapter 5: Dashboards

Lecture 1: Dashboard and It's Components

Lecture 2: Steps to Designing Your Dashboard

Lecture 3: Building Dashboards From Scratch 1

Lecture 4: Building Dashboards From Scratch 2

Lecture 5: Adding Interactivity to Dashboards

Lecture 6: Working With Dashboard Actions Part 1

Lecture 7: Working With Dashboard Actions Part 2

Chapter 6: Sharing and Collaboration

Lecture 1: Publishing and Sharing Dashboards With Others

Lecture 2: Exporting & Embedding Tableau Visualizations

Lecture 3: Protecting Your Work on Tableau Public

Chapter 7: Advanced Topics and Tips

Lecture 1: Tableau Tips and Best Practices

Chapter 8: Final Project and Conclusion

Lecture 1: Final Project Guidelines and Instructions

Lecture 2: Reviewing and Presenting Your Tableau Project

Lecture 3: Course summary and Next Steps

Instructors

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  • 5 stars: 3 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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