Tableau Essential Training (20201)
This course provides an introduction to Tableau 2020, teaching users how to analyze and visualize data to make informed decisions. Learn the essential skills needed to use Tableau to its fullest potential. ▼
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Course Feature
Cost:
Free Trial
Provider:
Udemy
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This course, Tableau Essential Training (20201), provides an overview of the fundamentals of Tableau 2020. Students will learn how to install Tableau, connect to data sources, sort and filter data, and create and manipulate data visualisations. These visualisations include highlight tables, charts, scatter plots, histograms, maps, and dashboards. The course also covers the software's new features, such as Viz Animations, which allows users to visually follow the movement of marks in a data visualisation to see and understand their changing data. Finally, the course demonstrates how to share data visualisations with others. By the end of the course, students will have a comprehensive understanding of Tableau 2020 and be able to use it to analyse and visualise data to make better, more data-driven decisions for their business.
[Applications]
After completing Tableau Essential Training (20201), users can apply their knowledge to create and manipulate data visualisations, such as highlight tables, charts, scatter plots, histograms, maps, and dashboards. They can also use the software's new features, such as Viz Animations, to visually follow the movement of marks in a data visualisation to see and understand their changing data. Additionally, users can share their data visualisations with others.
[Career Paths]
1. Business Intelligence Analyst: Business intelligence analysts use Tableau to analyze data and create visualizations to help businesses make better decisions. They are responsible for collecting, organizing, and analyzing data from various sources, such as customer databases, financial records, and market research. They also create reports and dashboards to help executives and other stakeholders understand the data and make informed decisions. The demand for business intelligence analysts is growing as businesses become increasingly data-driven.
2. Data Scientist: Data scientists use Tableau to analyze large datasets and uncover insights. They are responsible for collecting, cleaning, and organizing data from various sources, such as databases, web applications, and APIs. They also use Tableau to create visualizations and dashboards to help stakeholders understand the data and make decisions. Data scientists are in high demand as businesses become more data-driven and need to make sense of large datasets.
3. Data Visualization Designer: Data visualization designers use Tableau to create visualizations and dashboards that help stakeholders understand data. They are responsible for designing visualizations that are visually appealing and easy to understand. They also use Tableau to create interactive dashboards that allow users to explore data and uncover insights. Data visualization designers are in high demand as businesses become more data-driven and need to make sense of large datasets.
4. Data Analyst: Data analysts use Tableau to analyze data and uncover insights. They are responsible for collecting, organizing, and analyzing data from various sources, such as customer databases, financial records, and market research. They also create reports and dashboards to help executives and other stakeholders understand the data and make informed decisions. The demand for data analysts is growing as businesses become increasingly data-driven.
[Education Paths]
1. Bachelor of Science in Data Science: This degree path focuses on the development of skills in data analysis, data visualization, and machine learning. It also covers topics such as data mining, predictive analytics, and artificial intelligence. With the increasing demand for data-driven decision making, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.
2. Master of Science in Business Analytics: This degree path focuses on the application of data analytics to business decisions. It covers topics such as data mining, predictive analytics, and machine learning. It also covers topics such as data visualization, data management, and data governance. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.
3. Master of Science in Data Science: This degree path focuses on the development of skills in data analysis, data visualization, and machine learning. It also covers topics such as data mining, predictive analytics, and artificial intelligence. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.
4. Master of Science in Data Analytics: This degree path focuses on the application of data analytics to business decisions. It covers topics such as data mining, predictive analytics, and machine learning. It also covers topics such as data visualization, data management, and data governance. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.
Course Syllabus
Install Tableau drivers
Introduce Tableau file types
Get help in Tableau
Discover what’s new in Tableau 2020
Course Provider
Provider Udemy's Stats at AZClass
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1. What is the main purpose of Tableau?
2. What is Viz Animations?
3. What is the best way to sort and filter data in Tableau?
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