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Power BI DAX Tutorial - Beginner to Advanced [Full Course] 

Pivotalstats
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10 сен 2024

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Комментарии : 142   
@pivotalstats
@pivotalstats 2 месяца назад
Hi, Just a quick note, I made a mistake at 7:05. When Pizza shop runs a discount for 15%, I should have multiplied the number by 0.85 and not 0.15. Sorry for this!
@tyronefrielinghaus3467
@tyronefrielinghaus3467 8 месяцев назад
Fantastic...best DAX explanation ever. Step by step. No waffle. No confusion. Screenshotted the fax categories very early on in the video. Thanks so much.
@pivotalstats
@pivotalstats 8 месяцев назад
Awesome, thanks for watching!
@sunnyboy6433
@sunnyboy6433 7 месяцев назад
I have found your explanation easy to follow, using straightforward examples and your approach method to break down complex DAX is much appreciated.
@rasiksawant7491
@rasiksawant7491 3 месяца назад
This is absolutely the best DAX tutorial.
@pivotalstats
@pivotalstats 3 месяца назад
Thankyou so much, glad u liked it !
@1015Gao
@1015Gao 2 месяца назад
@@pivotalstats I fully agree, very easy to follow an thanks a lot
@MAG.experiences
@MAG.experiences 3 месяца назад
One of the best videos on DAX on RU-vid.
@pivotalstats
@pivotalstats 3 месяца назад
Thanks 🙂
@bernardolara8366
@bernardolara8366 3 месяца назад
the most straightforward dax tutorial ever
@pivotalstats
@pivotalstats 3 месяца назад
Glad you liked it. Thanks for watching!
@blubbfisch98
@blubbfisch98 2 дня назад
Thank you so much for just explaining the topics in a concise manner! :)
@pivotalstats
@pivotalstats 23 часа назад
You're very welcome!
@nithinsenthil
@nithinsenthil Месяц назад
Thanks RU-vid for suggesting your video !
@pivotalstats
@pivotalstats Месяц назад
Thanks for watching!
@MoeBig50
@MoeBig50 4 месяца назад
Wonderful video I have been working with BI for over a year now and I learned alot from your videos.
@pivotalstats
@pivotalstats 4 месяца назад
Great to hear! Thanks for watching :)
@pauljacob2947
@pauljacob2947 День назад
Good presentation, very clear and easy to understand. Thankyou
@pivotalstats
@pivotalstats 23 часа назад
Thanks for watching!
@akshaykhobragade8494
@akshaykhobragade8494 5 месяцев назад
i looked many videos but found this is the best. what an explaination, clear concept, no confusion, short notes are very valuable, and i also appreciate your preffered techniques. thankyou for such amazing and valuable content video
@pivotalstats
@pivotalstats 5 месяцев назад
Thank you for the appreciation. Really glad that it helped! 🙂
@Pradeevarma-ox8xf
@Pradeevarma-ox8xf Месяц назад
You will definitely understand DAX to a different level after watching this video, Surprisingly i started writing complex DAX formula, Bro can you please make some videos on scenario based interview questions with your explanation.
@pivotalstats
@pivotalstats Месяц назад
Sure 👍
@karanladla4911
@karanladla4911 6 месяцев назад
One of those videos which is going to be helpful almost everytime we'll work on P-BI. Thanks Sajit.
@pivotalstats
@pivotalstats 6 месяцев назад
Glad to hear that. Thanks for watching!
@sakshikothari7689
@sakshikothari7689 8 месяцев назад
Amazing content and delivering. You have made every concept simple to understand. Thank you for such great explanations. Keep posting insightful videos like this, they are really helpful.
@pivotalstats
@pivotalstats 8 месяцев назад
Thank you so much, will do!
@AbhishekKumar-t9t
@AbhishekKumar-t9t 9 дней назад
Very Nicely explained step by step with example the best DAX tutorial
@pivotalstats
@pivotalstats 9 дней назад
Glad it was helpful!
@ShahzebImam
@ShahzebImam 21 день назад
You are awesome. I had been searching for a complete DAX tutorial for a long time till this morning. Now I have best DAX tutorial. Thanks
@pivotalstats
@pivotalstats 21 день назад
You're very welcome!
@paramsettysrinivaskumar7556
@paramsettysrinivaskumar7556 Месяц назад
Outstanding Explanation which is crystal clear. Thank you for your efforts
@pivotalstats
@pivotalstats Месяц назад
Really glad it was helpful, thanks for watching 🙂
@hemantkumarchaurasia722
@hemantkumarchaurasia722 4 месяца назад
This is the best dax tutorial ever seen on youtube. Hope that more useful content will be shared by the Pivotalstats🙏
@pivotalstats
@pivotalstats 4 месяца назад
Much appreciated! Will definitely try my best :)
@oukiebotha2227
@oukiebotha2227 4 месяца назад
The best DAX tutorial. Many thanks. Much appreciated....Thank you..Thank you..🙏🙏🏆🏆👌👌
@pivotalstats
@pivotalstats 4 месяца назад
You're very welcome! Thanks for watching!!
@myfuture1164
@myfuture1164 2 месяца назад
Super se Upper Power Bi DAX . Thank You for Providing Dax !!!
@pivotalstats
@pivotalstats 2 месяца назад
My pleasure, really glad you liked it!
@OluwaseunK
@OluwaseunK 6 месяцев назад
This is such an explicit coaching, thank you for every bit of explanation. It has helped a great deal
@pivotalstats
@pivotalstats 6 месяцев назад
Glad it was helpful!
@nariroeplal1553
@nariroeplal1553 4 месяца назад
Best and easiest explained. Please do upload more😅
@pivotalstats
@pivotalstats 4 месяца назад
Thank you, I will !
@shanmugampalanivelu7272
@shanmugampalanivelu7272 Месяц назад
Neatly explained....need to search other topics also
@pivotalstats
@pivotalstats Месяц назад
Thanks!
@azzurikayvo
@azzurikayvo 5 месяцев назад
clear and straight to the point.A well done tutorial.
@pivotalstats
@pivotalstats 5 месяцев назад
Thank you so much!
@jani1914
@jani1914 6 месяцев назад
Not fully watched but best impression 🎉
@pivotalstats
@pivotalstats 6 месяцев назад
Thanks 🙂
@Sanj20101
@Sanj20101 4 месяца назад
Really great video, it covered everything and was easy to understand.. Thanks for this😊
@pivotalstats
@pivotalstats 4 месяца назад
You're very welcome!
@gustavopineda7933
@gustavopineda7933 8 месяцев назад
I really liked the presentation and effects of the video, very good work and also the very interactive teaching.
@pivotalstats
@pivotalstats 8 месяцев назад
Thank you very much!
@akupatichiranjeevi6159
@akupatichiranjeevi6159 8 месяцев назад
Kudos to your effort🎉🎉even one second also i don't missed it.. For me it is helpful alot... Thanks for awesome content
@pivotalstats
@pivotalstats 8 месяцев назад
Really glad that it helped. Thanks for watching!
@anillpatel
@anillpatel 4 месяца назад
Awesome video presentation. Excellent working examples. Thank you...,
@pivotalstats
@pivotalstats 4 месяца назад
You are Welcome, thanks for watching!
@mns.k
@mns.k 15 дней назад
Wow, such an amazing video.
@pivotalstats
@pivotalstats 15 дней назад
Glad you enjoyed it!
@mahithamylo66
@mahithamylo66 7 месяцев назад
Great content do more videos to help in PBI Mock Interviews, Thanks and God Bless you! 😇
@pivotalstats
@pivotalstats 7 месяцев назад
Thank you! Will do!
@monubhaiya9022
@monubhaiya9022 9 месяцев назад
Thanks for helping us with this project ❤❤❤Please keep teaching ❤❤
@pivotalstats
@pivotalstats 9 месяцев назад
Really glad it was helpful. Sure I will try to come up with more useful content 👍
@parthtandel5848
@parthtandel5848 7 месяцев назад
Loved the way you explain and presented !!! Keep bringing such valuable content.
@pivotalstats
@pivotalstats 7 месяцев назад
Thank you, I will
@infusionchurchmd
@infusionchurchmd 5 месяцев назад
Absolutely loved this masterclass!
@pivotalstats
@pivotalstats 5 месяцев назад
Glad you enjoyed it!
@jayxpea
@jayxpea 10 месяцев назад
This was a VERY good introduction video. Really appreciate the content
@pivotalstats
@pivotalstats 10 месяцев назад
Thanks!
@chinmayrane60
@chinmayrane60 6 месяцев назад
Very well explained. Thank You..
@pivotalstats
@pivotalstats 6 месяцев назад
Welcome! 🙂
@AmitYadav-ee7sz
@AmitYadav-ee7sz 2 месяца назад
thanks a lot sir.
@pivotalstats
@pivotalstats 2 месяца назад
Most welcome
@chaitu361
@chaitu361 6 месяцев назад
fan of your work....boss...
@pivotalstats
@pivotalstats 6 месяцев назад
Thank you so much 😀
@osoriomatucurane9511
@osoriomatucurane9511 7 месяцев назад
This is absolutely awesome, concise and crystal clear! Well done Sir. Do u have a tutorial convering row and filter contexts?
@pivotalstats
@pivotalstats 7 месяцев назад
Thanks! I did cover filter context on an high level in my previous data model videos but I will create a dedicated video soon. Thanks for watching!
@osoriomatucurane9511
@osoriomatucurane9511 7 месяцев назад
@@pivotalstats fantastic! Looking forward to see it.
@user-sk3gd9xx7x
@user-sk3gd9xx7x 4 месяца назад
very helpful...thank you..
@pivotalstats
@pivotalstats 4 месяца назад
You're welcome!
@ajitsahoopcm
@ajitsahoopcm 4 месяца назад
Thank you.....helpfull
@pivotalstats
@pivotalstats 4 месяца назад
You're welcome!
@poeziya5236
@poeziya5236 6 месяцев назад
thank you
@pivotalstats
@pivotalstats 6 месяцев назад
Welcome!
@deepdiveintolife
@deepdiveintolife 10 месяцев назад
Great explanation
@pivotalstats
@pivotalstats 10 месяцев назад
Thanks!
@Rasa_Krishna27
@Rasa_Krishna27 2 месяца назад
its good dax video but its would be very helpful if u explain the written dax and functionalty of each function used in it TQ... in measure you worte sumx function,for a beginner we dont know what is the use of Sumx..... how can one understand the total dax write ... just shared my thoughts... TQ
@pivotalstats
@pivotalstats 2 месяца назад
Hi, Thanks for the feedback. If you check the timeline from 33:00 to 35:30 , you will find a detailed explanation of what is sumx and why do we use it. Hope this helps!
@gospelmoto2833
@gospelmoto2833 10 месяцев назад
Wow! useful. Thanks for sharing.
@pivotalstats
@pivotalstats 10 месяцев назад
Glad it was helpful!
@user-ve5gj5vo8e
@user-ve5gj5vo8e 9 месяцев назад
Thank You
@pivotalstats
@pivotalstats 9 месяцев назад
You're welcome
@user-qc1ct8jb7u
@user-qc1ct8jb7u 4 месяца назад
Really good ...
@pivotalstats
@pivotalstats 4 месяца назад
Thanks a lot 😊
@perfectionist6624
@perfectionist6624 10 месяцев назад
Thanks ❤❤❤
@pivotalstats
@pivotalstats 10 месяцев назад
You're welcome 😊
@2076mayank
@2076mayank 8 месяцев назад
Amazing Looking for a video on data flow And Ms Fabric
@pivotalstats
@pivotalstats 8 месяцев назад
Thanks! Sure I'll plan for something in future, since dataflow requires a premium license.
@IsrakJahanSamir
@IsrakJahanSamir 2 месяца назад
man if 15percent discount given on each pizza then while calculating the revenue u need to multiply with 0.85 not 0.15. it gave me so much trouble. but overall great job with the tutorial. learnt a lot
@pivotalstats
@pivotalstats 2 месяца назад
Yeah sorry about that. I realized my mistake after I published the video. Anyways I will pin a comment, so that no one else gets confused. Thanks for watching!
@parveshsharma3045
@parveshsharma3045 4 дня назад
29:50 weekday function you choose 1 sunday to saturday sunday 1 monday 2 tuesday 3 but in your video it is showing 7 as sunday 2 as monday
@pivotalstats
@pivotalstats 2 дня назад
Hi, no i think you might have referred to a different year . In the video we are using the year 2022 and 1st Jan 2022 is showing as 7, which is correct because it was a Saturday. Hope this helps!
@IB568
@IB568 2 месяца назад
I was trying to create a profit % for each item, based on date slicer, accross different date ranges like profit % for each item for current week, last week, current month, last month, YTD and custom date range from date slicer. Was unable to do. Please make a video for this.
@pivotalstats
@pivotalstats 2 месяца назад
Sure I will plan something for future. Thanks for watching!
@180tejasvighevade4
@180tejasvighevade4 Месяц назад
not able to find the data u have used for related function
@pivotalstats
@pivotalstats Месяц назад
Here you go : www.pivotalstats.com/post/complete-guide-for-using-dax-in-data-analytics
@user-go5ri7zo9p
@user-go5ri7zo9p 6 месяцев назад
Hi! How did you merge the two tables of sem1 score and sem 2 score, when im trying, there are 48 rows instead of 12, im guessing the similar subjects rows are getting repeated in the merged table
@pivotalstats
@pivotalstats 6 месяцев назад
Hi, I think you must have skipped a step. In the video we are merging 2 columns within the same table and then finally using that merged column to utilize RELATEDTABLE to get required information from 2nd table.
@DarshanDeshmukh-tu8xj
@DarshanDeshmukh-tu8xj 2 месяца назад
58:31 how did you merge that tables without duplicates??
@pivotalstats
@pivotalstats 2 месяца назад
Hi, I just used the Left Join while merging those 2 tables, and while joining I used both Name & Subjects as my Key to match columns. Hope this helps!
@AjayKumar-or4xt
@AjayKumar-or4xt Месяц назад
In EDATE function its adding months, is there any way to add or minus days?
@pivotalstats
@pivotalstats Месяц назад
Hi, Sorry for the delayed response. Yes adding or subtracting days is very simple. You dont have to use any inbuilt functions. Just write "PizzaSales[Date] + 1" or "PizzaSales[Date] -1". This new column will add or subtract 1 day from the original date column. Change that 1 to any number you like. Hope this helps!
@AjayKumar-or4xt
@AjayKumar-or4xt Месяц назад
@@pivotalstats Great Thank you!
@1andtheOnly
@1andtheOnly 3 месяца назад
Hey Sajit Simon...thanks for this top tutorial on Power BI DaX. I am not sure if I am right but at 45:51 onwards you feed the argument for Column 4 that: IF(PizzaSales[Sales] >=10..... Shouldn't it be either "IF(PizzaSales[Price_USD]>=10" OR "IF(PizzaSales[Sales]>=100" ?
@pivotalstats
@pivotalstats 3 месяца назад
Hi, I don't know whether I understood your question or not, but the main intent of this was to just show how to use IF along with AND, &&, OR, ||. So consider this as a blueprint with which you can create your own personal logic. Let me know if you meant to ask something else!
@1andtheOnly
@1andtheOnly 3 месяца назад
@@pivotalstats So at 45:46 you start explaining to us about the mashup with IF with AND, OR, && logics. Here for the example you use IF(PizzaSales[Sales] >=10... so 10 is too low a number for [Sales] so I was wondering.... were you actually referring to the [Price_USD]? Shouldn't it be "IF(PizzaSales[Price_USD]>=10. Or if it was [Sales] that you were actually referring to then shouldn't it be "IF(PizzaSales[Sales]>=100"? Hope you got my question? 🙂
@Mohamed-yb2xy
@Mohamed-yb2xy 5 месяцев назад
hi tank you for your video pleas i need your help in a project i have two fact tables and i want calculate a KPI using DAX this KPI is the result of the devision of two columns one from the first fact table and the other from the other fact table but the probleme is that those fact tables are not related and i cant related them, but they have some sheard dimension tables, pleas tell me how can i calculate this KPI ,i have done manu search in the internet but i did not find the answeer ?
@pivotalstats
@pivotalstats 5 месяцев назад
I doubt if that's possible but I will keep looking and let you know if I find a solution.
@Mohamed-yb2xy
@Mohamed-yb2xy 5 месяцев назад
@@pivotalstats thank you, some people use treatas function to create a vitual relationship between two tables but i am still reading about that, yes pleas don't esitate if you found a solution.
@Madly-Chilled
@Madly-Chilled 4 месяца назад
Hi! a newbie here in PowerBI.Is this much DAX is enough to get into industry?
@pivotalstats
@pivotalstats 4 месяца назад
Hi, yes this is a good starting point for you. Once you understand how to structure the dax using this video, you can then move on to creating more complex logics by combining what you learned.
@kavyamohan9725
@kavyamohan9725 7 месяцев назад
Sir please post complete powerbi course to became a powerbi developer sir
@pivotalstats
@pivotalstats 7 месяцев назад
Hi, you can check out the power bi playlist. It covers all concept which you need to become a pbi developer : ru-vid.com/group/PLvkYWwzsiISGhkvknBg9eWneAizEumD0D&si=rVPTKZ0_7zS0TCfh
@jawa5692
@jawa5692 6 месяцев назад
Sir, will powerbi certification helpful?how to prepare for PL 300 certification?
@pivotalstats
@pivotalstats 6 месяцев назад
Yes, definitely! Check out below link for understanding the broad outline suggested by Microsoft. Then you can use free resources on RU-vid or go for any paid course on Udemy etc.. for your preparation. learn.microsoft.com/en-us/shows/exam-readiness-zone/preparing-for-pl-300-prepare-the-data
@lalitkaushik1812
@lalitkaushik1812 5 месяцев назад
Great job. how to get the second largest value from a column?
@pivotalstats
@pivotalstats 5 месяцев назад
Thanks! To get the 2nd largest, you can use a combination of Var, Max & Calculate function. Something like below: SecLarg = var larg = MAX(PizzaSales[Sales]) RETURN CALCULATE(MAX(PizzaSales[Sales]),PizzaSales[Sales] < larg)
@lalitkaushik1812
@lalitkaushik1812 5 месяцев назад
@@pivotalstats Thank you so much dear. This is a great help. Please start making videos in hindi as well for wider audience.
@asp4628
@asp4628 6 месяцев назад
Sir,please Do more real world project advance level
@pivotalstats
@pivotalstats 6 месяцев назад
Sure 👍
@tasmisa6778
@tasmisa6778 12 дней назад
How am I supposed to memorize all those😶‍🌫️😶‍🌫️😶‍🌫️
@pivotalstats
@pivotalstats 12 дней назад
Hi, trust me, no one can memorize all of them at the first go. Use this video as a reference guide. After using these a couple of times, you will automatically know which dax to use in which scenario.
@syedraafath
@syedraafath 2 месяца назад
I think you missed NOT under Logical Category.
@pivotalstats
@pivotalstats 2 месяца назад
Hi, Thanks for highlighting. I will try to cover that topic in a future video. Cheers!
@Lepu-bz1kd
@Lepu-bz1kd 7 месяцев назад
Content is very good, but your articulation of words are just wow. Make a course for articulation as well JK 😂
@pivotalstats
@pivotalstats 7 месяцев назад
😁👍
@SunriseBusinessClub
@SunriseBusinessClub 8 месяцев назад
absolutely useless
@pivotalstats
@pivotalstats 8 месяцев назад
If you can elaborate then that would be really helpful. I will use that feedback to generate even better content in future. Thanks!
@osoriomatucurane9511
@osoriomatucurane9511 7 месяцев назад
I guess he meant absolutely useful
@AmitKumar-ix3kq
@AmitKumar-ix3kq 4 месяца назад
Please Correct me if I am wrong, but shouldn't the Function at 7:05 be RevDiscounted = SUMX(PizzaSales, ((PizzaSales[Sales] * PizzaSales[Price_USD])*.85)). Since the store ran a 15% discount so the pirce should be 85% of its initial price. Sorry I have not gone through the entire video at this point, but this doubt came to mind as soon as I saw this.
@pivotalstats
@pivotalstats 4 месяца назад
Hi, You are absolutely correct. I made a mistake there, it should have been .85 instead of .15. Thanks for highlighting, cheers!
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