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Tableau

An intuitive and captivating course designed for those eager to enhance their data processing skills.
Language: English
Model of Study: Online - Asynchronous
Starting Date: 26th February 2024
Duration: 20 Hours
Prerequisites: None

Price: Free 
Fully funded by the European Union, under the Level Up Project. 
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What sets us apart?

  • Remote Education
  • Asynchronous Learning
  • Detailed Material
  • Practical Examples
  • Variety of Information
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About Tableau

Python

Tableau is a powerful data visualization tool. | Tableau is a user-friendly data analysis platform. | Tableau is a versatile business intelligence solution. | Tableau is an insightful data exploration tool. | Tableau is a collaborative data storytelling platform. | Tableau is a scalable data analytics solution. | Tableau is an accessible data visualization tool. | Tableau is an impactful data-driven decision-making tool. | Tableau is a transformative data visualization platform. | Tableau is an indispensable data analytics solution.

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Tableau is a powerful data analysis and visualization tool used to create intuitive and interactive diagrams, maps, and other graphics. It is widely used for analyzing large data sets, facilitating data-driven decision-making.

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Easy Data Understanding

Tableau uses graphical representations to make data more understandable.

Increased Productivity

Tableau automates several data analysis tasks.

Improved Decision Making

Tableau helps businesses make better decisions based on data.

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Below you will find a menu listing the most important topics that will be analyzed.

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1. Tableau General Theory

📘 What You Will Learn: The fundamentals of data and its management through Tableau, and how Tableau aids in data analysis and interpretation.

🌟 Why It's Useful: Understanding the theory behind data analysis with Tableau will give you the necessary foundation for creating impressive reports and dashboards. You'll learn how Tableau leverages data to provide insightful interpretations and analyses.

2. Data Preparation

📘 What You Will Learn: How to use Tableau for transforming and cleaning data before analyzing it with Tableau.

🌟 Why It's Useful: Data preprocessing is a crucial stage for data analysis in Tableau. By learning to use it, you'll be able to clean, transform, and prepare your data for effective analysis with Tableau.

3. Tableau Data Blending and Join Techniques

📘 What You Will Learn: How to combine and blend data from various sources in Tableau, using merging techniques.

🌟 Why It's Useful: Connecting data from different sources, through Tableau's joining capabilities, is essential for a comprehensive analysis. You'll learn how to unify data from various sources for better understanding and presentation of the data.

4. Tableau Basic Visualization Techniques

📘 What You Will Learn: Basic data visualization techniques in Tableau, including simple charts such as bar charts, pie charts, and line charts.

🌟 Why It's Useful: Simple visualization techniques are the basics for understanding data. Using these tools, you'll be able to create charts that clearly highlight trends and patterns in your data.

5. Tableau Calculations (Calculated Fields)

📘 What You Will Learn: How to use calculation expressions and calculated fields in Tableau for advanced data calculations.

🌟 Why It Is Useful: Calculations in Tableau are critical for creating advanced measures, calculations, and indicators. You will learn how to use them to fully leverage Tableau's capabilities for data analysis and visualization.

6. Tableau Maps and Geographic Visualizations

📘 What You Will Learn: How to create maps and geographic visualizations in Tableau for analyzing your data by location.

🌟 Why It Is Useful: Visualizing data on a map can reveal further insights and connections. You will learn how to incorporate geographic elements for richer analyses.

7. Tableau Filters

📘 What You Will Learn: How to use filters in Tableau for customizing your reports and optimizing interactivity.

🌟 Why It Is Useful: Applying filters to your data allows you to focus on the elements that you are most interested in. This way, you can create more customized reports.

8. Tableau Hands-On Practical Examples

📘 What You Will Learn: How to gain hands-on experience in Tableau through specific examples and step-by-step implementation.

🌟 Why It Is Useful: Discover how practical application to data problems with Tableau will make you familiar with the software, enhancing your skills in creating impressive and effective reports.

About this Project

Remote

This course is offered entirely online, so you can learn from anywhere in the world.

Self Paced

This self-paced course allows you to learn at your own pace and convenience, without any strict deadlines or time restrictions.

Participation & Funding 

Participation is fully funded by the European Union, under the Level Up Project.

Course Duration

This course has an average
duration of 25 hours.

Start Date

If you are considering joining us
on this educational journey.

You will be fully informed via email about enrollment procedures at
26th February 2024

Course Availability

This course will be available for up to 8 months from the day of enrollment. 

Are you interested?

#Upskilling| #Reskilling | #Asynchronous Education 

Language: English
Model of Study: Online - Asynchronous
Starting Date: 26th February 2024
Duration: 25 Hours
Prerequisites: None

Price: Free 
Fully funded by the European Union, under the Level Up Project. 
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Check out more courses that participate in the Level Up Project by clicking the image
on the right :

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London
United Kingdom
W1W 7LT8
​
Tel: +442045255318 & +302102209811
e-learning@workearly.co
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