Amazon Quicksight Ultimate Course

Amazon Quicksight Ultimate Course, Everything you need to know about Amazon Quicksight.

Have you always wanted to learn how to do use Amazon QuickSight but don’t know where to start?

Would you like to access data and bring your reports to life?

Then Amazon QuickSight Ultimate Course is for you!

Hi, I’m your instructor Josh Werner and I’ll be leading you through this course.

Amazon QuickSight is an in-demand skill in 2021.

The course begins with the basics. We’ll Cover everything you need to know about Amazon QuickSight from scratch.

I’ll take you through everything you need to know to start accessing data and building reports like an expert.

Next, you’ll learn all the fundamentals of Amazon QuickSight and how you can use them to build reports from data.

This is great for students starting that need a refresher course on Amazon QuickSight.

There are no requirements necessary to enroll I only ask that you come open minded and ready to learn.

Feel Free to look through the course description and checkout some of my preview videos.

The course is packed with over 1 hour of hands-on tutorials

Here is what you will Learn:

01. Introduction

01. Overview

02. Create AWS Account

02. Setup Account

03. Amazon QuickSight

03. QuickSight Q

04. Embedded Analytics

05. Features

06. Pricing

07. Getting Started

08. Customers

04. Resources

09. Documentation

10. Product Demo Videos

11. Webinars

12. News and Blog Posts

13. Release Notes

14. Community Forum

05. Documentation

15. What is Amazon Quicksight

16. How it Works

17. Exploring Data for Dashboard Subscribers

18. Getting Started

19. Using the Console

20. Organizing Assets into Folders

21. Working with Data

22. Preparing Data

23. Working with Analyses

24. Working with Visuals

25. Working with ML Insights

26. Working with Dashboards

27. Functions and Operators

28. Developing with Amazon QuickSight

29. Troubleshooting

30. Administration

31. AWS Security

32. AWS Glossary

33. Document History

34. Attributions

06. Conclusion

35. Summary


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