Tableau Masterclass - Parameter- and Setactions Project Tips

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Tableau Masterclass - Parameter- and Setactions Project Tips
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 906 MB | Duration: 2.5 hours

What you'll learn
You apply Tableau Parameter Actions and Set Actions to create dynamic visualizations
You master Tableau Parameter Actions and Set Actions which can be applied to solve challenging data analytics questions
You invest in your data analytics skills
You learn about practical project tips and tricks you can apply in your own Tableau projects
Requirements
Experience with Tableau is definitely helpful
This course is not for complete beginners - If you want to get your first hands on experience take my beginners course first
Your curiosity and willingness to learn and grow
No additional costs - we use Tableau Public which can be downloaded for free
Description
How to learn Tableau fast? How to become a Tableau expert?

Business Intelligence / Business Analytics is in high demand. Companies are constantly searching for ways to make better and faster decisions. Therefore they rely heavily on data. Data driven decision making is the key to success for any business in the world of tomorrow. This is a great opportunity!

Because of that companies across industries are constantly desperately searching for skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights. This will be the key advantage to succeed in business.

A data analyst career is not only higly rewarding but also very interesting.

From my personal experience I can tell you that companies will actively searching for you if you master Tableau. Diving into data & analytics can not only immensly improve your career opportunities but also your job satisfaction!

Tableau is also a great tool for datascience. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore Tableau can often be a valuable skill for datascience jobs.

so again the question:

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