Last updated 1/2023
Created by Dan We
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 18 Lectures ( 2h 7m ) | Size: 824 MB
Tips in Power BI step by step, How to learn Power BI fast and how to apply DAX in Power BI with Power BI project tips
What you'll learn
You learn Microsoft Power BI tips and tricks from project experience and research
You have additional knowledge you can apply in your next projects
You improve your skills which you have acquired so far
You are or want to become a data analyst
Requirements
Download Microsoft Power BI Desktop (free)
If you have no experience I would encourage you to start with my Power BI Masterclass - beginners to advanced course first.
You should have worked with Microsoft Power BI before
Description
Microsoft Power BI Masterclass - Additional Tips and Tricks 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/himselfMS 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.This course extends my Power BI Masterclass series on udemy. This course is not topic specific like other ones. I wanted to share tips and tricks I learned from personal Microsoft Power BI projects and from personal research on this topic. My goal is to help all aspiring students with additional tips and tricks you can use to succeed in your next business intelligence projects.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 advanced2. Microsoft Power BI Masterclass - Expand Excellence3.Power BI Masterclass - DAX, Excel And More4. The Power BI Masterclass - Additional Tips and Tricks5. Power BI Desktop - Data Prep Challenges6. Power BI Masterclass - DAX, R and Gateways7. Power BI Masterclass - Python Finance and Advanced DAX8. Power BI Masterclass - the next level9. Power BI DAX Fundamentals Mastering the Key Concepts10. Power BI Masterclass Calculation Groups with Tabular Editor11. The Power BI Service Masterclass12. How to build a profit and loss statement in Power BI DesktopWe got a lot to do so let's get into it!
Who this course is for
You are or want to become a data analyst
Data analysts and everyone who strives for a (new) career in data analytics
students who want to master self service bi with Microsoft Power BI
students who have taken my Power BI Masterclass series on udemy
students who search additional skills in Microsoft Power BI Desktop
students who want to apply tips in Microsoft Power BI Desktop
You want to master self service BI with MS Power BI Desktop
You want additional resources for your next Power BI Project solutions
Homepage
Code:
https://www.udemy.com/course/power-bi-tips-for-your-next-data-analytics-project/
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