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Autor Tópico: Power BI Masterclass - the next level  (Lida 61 vezes)

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Power BI Masterclass - the next level
« em: 21 de Novembro de 2020, 14:28 »

Power BI Masterclass - the next level
Duration: 3h5m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.11 GB
Genre: eLearning | Language: English
Power BI Best practices ,  Power BI Calculation Groups, Power BI Charticulator, Power BI Performance Tips, Power BI AI

What you'll learn
How to use Calculation groups in Power BI Desktop
Best practices, Tips, ideas (Performance, Visualization...)
How to start creating your own custom visuals without coding
DAX
Smart Narrative AI Feature in Power BI

Requirements
You already have some experience with Power BI (if not check out Power BI Masterclass - beginners to advanced first)
You should have worked with Power BI DAX and know how to create measures
Power BI Desktop installation (download for free on windows)
Additional tools can also be downloaded or used for free

Description
Microsoft Power BI Masterclass - The next level

Business Intelligence / Business Analytics is in high demand. Companies are constantly searching for ways to make better and faster and smarter decisions. Therefore they rely heavily on data. Small company or Multinational -  data driven decision making is the key to success for any business in the world of tomorrow.

Because of that companies are drastically increasing to step up their efforts to find skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights.

Since there is way more demand than supply it is a "War for talent". And the competition will increase further. This environment is a bless for anyone who acquires the necessary capabilities and positions herself/himself

MS Power BI is an advanced yet easy to get started self service business analytics / business intelligence solution provided by Microsoft which is currently in very hot demand. From my personal experience I can tell you that companies will actively searching for you if you master Power BI. Diving into data & analytics can not only immensely improve your career opportunities but also your job satisfaction!

Power BI is also a great tool for data science too. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore learning to use this tool can also be a valuable skill for data science jobs.

ABOUT THIS COURSE:

This course should help you to enhance your skills as a Power BI Report developer.

We will learn

Calculation Groups

Best practices, Tips, Tricks (Performance, Visualizations,...)

How to get started creating your own custom visuals (no coding required!)

And as always ... a little bit of DAX ;)

Please note: The course is not meant for total beginners. You should have some prior knowledge with Power BI. If you are completely new then please check out the  beginners to advanced class first

Update: The complete Power BI Masterclass Series on udemy

1.Power BI Masterclass - beginners to advanced

2.Microsoft Power BI Masterclass - Expand Excellence

3.Power BI Masterclass - Data Analysis Deep Dive

4.Business Intelligence with Microsoft Power BI

5.Power BI Masterclass - DAX, Excel And More

6.Power BI Masterclass - Your future in data analytics

7.Power BI Masterclass - Learn Advanced DAX, R and Gateways

8.Power BI Masterclass - Python, Finance and advanced DAX

9. Power BI Masterclass - How to use CALCULATE in DAX

Tips and Tricks courses:

10. The Power BI Masterclass - Tips and Tricks

11. The Power BI Masterclass - Additional Tips and Tricks

12. Power BI - Tips for your next data analytics project

13. Microsoft Power BI Desktop - simple tips and tricks edition

14. Power BI Desktop - Data Prep Challenges

15. Power BI Masterclass - The next level

We got a lot to do so let's get into it!

Who this course is for:
Power BI Creators / Developers / Users
Data Analysts
Data Scientists
Students interested in Data analytics and Data science
You want to switch career path and become a data analyst
Download link:
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