Microsoft Power BI Masterclass 7 Learn DAX, R, and Gateways

Microsoft Power BI Masterclass 7 Learn DAX, R, and Gateways

Master Microsoft Power BI and create  your succesful business analyst / data analyst career

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.

Because of that companies are constantly 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.

MS Power BI is an andvanced 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 immensly improve your career opportunities but also your job satisfaction!

Power BI is also a great tool for datascience 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 datascience jobs.

Power BI has a very strong active community and with Microsoft pushing this solution to it's enterprise customers, Power BI has a bright future ahead. And you can be part of this future!

There is no coding required! Power BI allows you to do that but it's not necessary.

To help you getting into this highly rewarding and interesting career path the Power BI Masterclass Series has been created.

It's an exclusive series currently consisting of these courses on udemy.

Update: The complete Power BI Masterclass Series on udemy (I have aggregated some classes together to provide more content value per class for you. I really hope that serves you better!

1. Power BI Masterclass - beginners to advanced

2. Microsoft Power BI Masterclass - Expand Excellence

3.Power BI Masterclass - DAX, Excel And More

4. The Power BI Masterclass - Additional Tips and Tricks

5. Power BI Desktop - Data Prep Challenges

6. Power BI Masterclass - DAX, R and Gateways

7. Power BI Masterclass - Python Finance and Advanced DAX

8. Power BI Masterclass - the next level

9. Power BI DAX Fundamentals Mastering the Key Concepts

10. Power BI Masterclass Calculation Groups with Tabular Editor

11. The Power BI Service Masterclass

12. How to build a profit and loss statement in Power BI Desktop

 Each Microsoft Power BI Masterclass course will add to your knowledge base and enhance your skills further. After attending the complete series you will have honed your skills to an very advanced level and be able to succesfully dive into your Microsoft Power BI data analytics career.

In this Masterclass you will

• learn and apply additional advanded DAX expressions and calculations and dive deep into a business dataset

• getting an introduction on how to use R in Power BI

• learn how to set up your personal data gateway to refresh your on premise data in the Power BI service

• apply new custom visuals

• create your own Sales dashboards

What we learn in this course might also help you later with your Power BI certification exam.

You can follow along with the provided learning material in Power BI on your own computer at your own pace. Exited? You should be. So let's answer the question on how to master Power BI Desktop. Buckle up and meet me in the first lecture starting today!

How to become a data analyst fast. Microsoft Power BI online training. How to use R in Power BI Power BI Data Science

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What you will learn

• You master advance DAX calculations and build on your prior acquired knowlege from the other Masterclass courses
• Taking the Power BI Masterclass series on udemy will prepare you to start your data analytics career
• You can use R in Power BI

Rating: 4.1

Level: Beginner Level

Duration: 3.5 hours

Instructor: Dan We