Download Linkedin - Power BI Mistakes to Avoid (2022) torrent

Linkedin - Power BI Mistakes to Avoid (2022)

Torrent:	Linkedin - Power BI Mistakes to Avoid (2022)
Description:	Power BI Mistakes to Avoid (2022) https://TutSala.com LinkedIn Learning Duration: 59m 47s \| .MP4 1280x720, 30 fps(r) \| AAC, 48000 Hz, 2ch \| 717 MB Genre: eLearning \| Language: English As a data expert using Power BI, it’s crucial for you to always be growing your skills. In this course, instructor John David Ariansen helps you do just that—teaching you some of the key mistakes to avoid in Power BI to save time and build your skill set even faster. Explore the unique challenges and opportunities of using Power BI. Learn how to become a systems thinker, improve your analytic skills, and use visualization more effectively in your work. Discover the importance of pulling in the right amount of data, eliminating extra steps, profiling sources, and removing unnecessary data. John shows you how to use lookup tables and a star schema, as well as why you need to eliminate two-way relationships when modeling, and what you should do instead. Along the way, find out more about visualizations, groups and slicers, tooltips, Top-N analyses, and more, gathering the tools you need to grow your skills and let your data start speaking for itself. This course was created by Madecraft. We are pleased to host this training in our library.
Downloads:	119
Category:	Other /Tutorials
Size:	717.4 MB
Show Files »	[ TutSala.com ] Linkedin - Power BI Mistakes to Avoid (2022) Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 001. Improve your Power BI skills.en.srt (1.5 KB) 001. Improve your Power BI skills.mp4 (10.0 MB) 2. Next-Level Power BI 002. Main challenges of Power BI.en.srt (4.6 KB) 002. Main challenges of Power BI.mp4 (34.4 MB) 003. Systems thinking vs. ad hoc analysis.en.srt (3.5 KB) 003. Systems thinking vs. ad hoc analysis.mp4 (25.2 MB) 004. Being an effective analyst.en.srt (5.2 KB) 004. Being an effective analyst.mp4 (39.8 MB) 005. Keys to effective data visualization.en.srt (5.1 KB) 005. Keys to effective data visualization.mp4 (36.6 MB) 3. Connecting to Data 006. Don't pull in too much data.en.srt (2.4 KB) 006. Don't pull in too much data.mp4 (19.5 MB) 007. Eliminate extra applied steps.en.srt (4.4 KB) 007. Eliminate extra applied steps.mp4 (35.0 MB) 008. Remember to profile your data sources.en.srt (4.2 KB) 008. Remember to profile your data sources.mp4 (34.2 MB) 009. Remove unnecessary rows and columns.en.srt (6.0 KB) 009. Remove unnecessary rows and columns.mp4 (47.6 MB) 4. Modeling Data 010. Create a lookup table.en.srt (6.6 KB) 010. Create a lookup table.mp4 (53.6 MB) 011. Use star schema.en.srt (3.2 KB) 011. Use star schema.mp4 (24.6 MB) 012. Eliminate two-way relationships.en.srt (6.0 KB) 012. Eliminate two-way relationships.mp4 (54.8 MB) 013. Apply user-friendly value replacements.en.srt (2.3 KB) 013. Apply user-friendly value replacements.mp4 (19.6 MB) 014. Define the right level of granularity.en.srt (4.6 KB) 014. Define the right level of granularity.mp4 (34.8 MB) 5. Visualizing and Analyzing Data 015. Visualizing time series data.en.srt (2.4 KB) 015. Visualizing time series data.mp4 (19.0 MB) 016. Use groups to break up the analysis.en.srt (4.5 KB) 016. Use groups to break up the analysis.mp4 (39.9 MB) 017. Use slicers to improve usability.en.srt (3.2 KB) 017. Use slicers to improve usability.mp4 (27.2 MB) 018. Use a custom tooltip to add detail.en.srt (3.1 KB) 018. Use a custom tooltip to add detail.mp4 (26.4 MB) 019. Be careful with pie charts.mp4 (33.0 MB) 020. When to use top-N analysis.en.srt (3.3 KB) 020. When to use top-N analysis.mp4 (26.8 MB) 021. The full potential of visualizations.mp4 (30.0 MB) 022. Use color sparingly.mp4 (31.3 MB) 6. Conclusion 023. Additional resources.mp4 (13.9 MB) Bonus Resources.txt (0.4 KB) Ex_Files_Power_BI_Mistakes_to_Avoid Exercise Files POWER_BI_MISTAKES_DATA.xlsx (76.1 KB) files
Added:	2022-02-25 10:03:46
Language:	English
Peers:	Seeders : 19 , Leechers : 3
Release name:	Linkedin - Power BI Mistakes to Avoid (2022)
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