Tableau Tutorial
This Tableau Tutorial BI provides an overview of Tableau, its architecture, pricing and project architecture of a BI project. It covers the introduction to Tableau Desktop and its features, as well as the different components of the Tableau architecture. It also provides an in-depth look at the pricing structure of Tableau. Finally, it outlines the project architecture of a BI project. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Tableau Tutorial BI -Tableau Overview.
Tableau Tutorial BI -Tableau Introduction.
Tableau Tutorial BI-Tableau Desktop Architecture.
Tableau Tutorial BI -Tableau Pricing In Details.
Tableau Tutorial BI -Project Architecture Of a BI Project.
Tableau Tutorial BI- Data Connection & Charts.
Tableau Tutorial BI- Data Aggregation- Local And Global Aggregation.
Tableau Tutorial BI- Data Aggregation- Local And Global Aggregation- Continuation.
Tableau Tutorial BI- Scatter Plot, Bar Chart, Histogram.
Tableau Tutorial BI- Sunburst Pie Charts.
Tableau Tutorial BI- Market Basket Analysis.
Tableau Tutorial BI- Bar Graph KPI.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
1. Tableau Overview: Learners can gain an understanding of the Tableau platform, its features, and its capabilities. They can learn how to use Tableau to create visualizations, analyze data, and create reports. They can also learn how to use Tableau to create dashboards and share insights with others.
2. Tableau Introduction: Learners can gain an understanding of the Tableau platform, its features, and its capabilities. They can learn how to use Tableau to create visualizations, analyze data, and create reports. They can also learn how to use Tableau to create dashboards and share insights with others.
3. Tableau Desktop Architecture: Learners can gain an understanding of the Tableau Desktop architecture, its components, and how to use them to create visualizations. They can learn how to use Tableau to create visualizations, analyze data, and create reports. They can also learn how to use Tableau to create dashboards and share insights with others.
4. Tableau Pricing In Details: Learners can gain an understanding of the Tableau pricing structure, its features, and its capabilities. They can learn how to use Tableau to create visualizations, analyze data, and create reports. They can also learn how to use Tableau to create dashboards and share insights with others.
5. Project Architecture Of a BI Project: Learners can gain an understanding of the project architecture of a BI project, its components, and how to use them to create visualizations. They can learn how to use Tableau to create visualizations, analyze data, and create reports. They can also learn how to use Tableau to create dashboards and share insights with others.
[Applications]
Upon completion of the Tableau Tutorial BI course, participants can apply their knowledge to create visualizations and dashboards to analyze data. They can also use Tableau to create interactive reports and presentations. Additionally, they can use Tableau to create market basket analysis and KPI bar graphs. Furthermore, they can use Tableau to create scatter plots, bar charts, histograms, sunburst pie charts, and other visualizations.
[Career Paths]
1. Business Intelligence Analyst: Business Intelligence Analysts are responsible for analyzing data and developing insights to help inform business decisions. They use Tableau to create visualizations and dashboards to help identify trends and patterns in data. They also develop reports and presentations to communicate their findings to stakeholders. As the demand for data-driven decision making increases, the need for Business Intelligence Analysts is expected to grow.
2. Data Scientist: Data Scientists use Tableau to analyze large datasets and uncover insights. They use Tableau to create visualizations and dashboards to help identify trends and patterns in data. They also develop reports and presentations to communicate their findings to stakeholders. As the demand for data-driven decision making increases, the need for Data Scientists is expected to grow.
3. Data Visualization Designer: Data Visualization Designers use Tableau to create visualizations and dashboards to help identify trends and patterns in data. They also develop reports and presentations to communicate their findings to stakeholders. As the demand for data-driven decision making increases, the need for Data Visualization Designers is expected to grow.
4. Tableau Developer: Tableau Developers are responsible for developing and maintaining Tableau applications. They use Tableau to create visualizations and dashboards to help identify trends and patterns in data. They also develop reports and presentations to communicate their findings to stakeholders. As the demand for data-driven decision making increases, the need for Tableau Developers is expected to grow.
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