Microsoft Power BI Desktop for Business Intelligence

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/?utm_campaign=email&utm_source=sendgrid.com&utm_medium=email

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

This is where I started:

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

Totally recommended and a no-brainer at the price I bought it at, but shockingly the price is now ten times what I paid.

I just completed this course on udemy: Microsoft Power BI - Up & Running With Power BI Desktop . Its a step by step introduction course for beginners. I really enjoyed it and learned a lot. They give you all the basic information and tips you need plus a full project from getting the data till producing a full report. I'm now continuing with the one from Microsoft to full in any gaps and practice.

I did this course to give me a good overview of Power BI. Highly recommended

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

I’m not sure how up to date it is, but I think this Udemy course is a really good introduction: https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

I see it’s still the top result on Udemy when you search for Power BI.

Hands down, this one.

This comes up a lot and I will never not recommend Maven Analytics on Udemy. This is a great start: Udemy

It’s on sale right now for $12 which is a ridiculously good value. They also have an advanced DAX course which is a great continuation if you need to do more advanced calculations.

Try udemy courses! They charge you less than 10 dollars for a course. Sometimes it'll available for free. I 'm also transitioned from excel to POWER BI.

I would recommend you the one which i used to learn power bi from SCRATCH. Here is the course link :

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

Trust me, it's one of the best resources which anyone could afford that. You will learn different types of techniques and tools which can be used in power bi.

Also, watch out the YouTube channel Guy in a cube if you wanna know the latest updates and technologies in power bi.

suggestion: If you wanna learn excel advanced or other excel advanced related stuffs, take courses from the same instructor 'Chris Dutton' whom power bi course i shared above. Hope it helps!!

if you have any doubts or suggestions, please don't hesitate to contact me! Happy to Help!

This course on Udemy was really good at teaching practical application. It certainly doesn't make you an expert and was written before newer features, but it is a great course.

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https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

Take the free Microsoft Learning Path and do a few Udemy courses to get up and running. I liked the below Udemy course.

Microsoft https://docs.microsoft.com/en-us/learn/ powerplatform/power-bi

Udemy https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

https://www.udemy.com/course/power-bi-service/

https://www.udemy.com/course/exam-da-100-a-complete-guide-on-acing-the-exam-with-powerbi/learn/lecture/19902316#content

Here u go

The field is reporting and analytics. The position can be Data Analyst, Business Intelligence (BI) developer. Research those terms. PowerBI has a free version that can be used to learn.

If you're completely new to all of this. Start with Excel. Learn what can excel be used for. After that move onto PowerBI. You'll learn how to import data, setting up relationships between datasets and then visualize them. After you've done all of this, you should be able to build some basic reports. Keep studying these two to pick up more advanced skills.

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

https://www.udemy.com/course/microsoft-excel-2013-from-beginner-to-advanced-and-beyond/

My work sent me to do this online course. Only around £14 and I learned everything I needed to be able to use it competently, and you get an certificate at the end as well. They give you a sample dataset and you work through the instructional videos shaping and modelling the data.

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

I used Maven Analytics' course on Udemy: https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop

I cannot praise it enough. I will say that this was a couple years ago, so I don't know how much has been updated with PBI's updates.

Sure. There's a couple of things you need to learn in order to develop a solid foundation in data analytics:

• Statistics: You need to have a good working knowledge of basic and intermediary level statistics, including an understanding of mean, median, mode, etc., all the way up to sampling, distributions, linear regression, etc. The best course I can recommend for that is: Introduction to Statistics by Stanford University. Make sure to just audit the course, instead of paying for it. You'll have access to all the course materials and assignments. It's just that when you audit the course, you won't be able to submit your assignments and get graded for them, which is totally fine.
• Programming Languages: You absolutely need to learn SQL and at least one of the following programming languages: Python, R or SAS. For SQL & R, I recommend taking this entire specialization: Google Data Analytics Certificate. Once again, you can access all the available courses under this specialization for free. But if you want to earn a certificate - which I highly recommend if you're new to Data Science - then consider paying for it. It'll cost you $40 per month and you should be able to complete the entire specialization within a span of 2 months, if you spend at least 20 hrs/week working on it. For Python, this is the specialization I would recommend for everyone: Python for Everybody. Also, make sure to learn the following Python packages: Numpy, Pandas, Matplotlib, Seaborn. Some great playlists to follow on YT: Pandas, Matplotlib, Seaborn.
• Data Visualization: You need to be proficient in at least one data visualization software: Tableau or Power BI. You'll find a great course (course #6) on Tableau under the previously mentioned Google Data Analytics Certificate. Some great courses on Power BI on Udemy: MS Power BI Basics, Advanced DAX. Make sure you're on the lookout for Udemy's insane 90% off discounts. Those occur at least once a month and last for about 3-4 days.

Feel free to DM me if you have any further questions. I'm always happy to help!

EDIT: This guy produces quality videos on how to start a career in Data Analytics. So be sure to check him out: Alex the Analyst

>Rob Collie and Avi Singh'

https://www.amazon.com/Power-Pivot-BI-Excel-2010-2016/dp/1615470395

this one?

I bought a ton of books off of Humblebumble before and bought the video tutorial of Udemy (https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/learn/lecture/10087678?start=15#overview) but my biggest fear is that Power BI evolves rather quickly compared to other software. Will the books/tutorials be up to date enough to use them?

You've got a really, really great base. You need to learn the tool and visualization basics. Here's where I'd begin on visualization basics:

https://www.coursera.org/specializations/information-visualization

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To learn PowerBI, definitely start with the MS materials. Your biggest challenge might be figuring out what to do in SQL and what to do in DAX. In addition, I also worked through this course and thought it was pretty good:

https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

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Good luck!

I have been diving head first into data science the last few months, and thought you might find a bit of insight into my journey so far useful, especially as I have been using Udemy a great deal to further my knowledge, and have enjoyed the current sale going on right now as well!

SQL - This is the answer. Learn this, now. Everyone else is right. Coming from a heavy math background (B.S. in math, did a lot of set theory and discrete math) I naively thought I understood databases better than I actually did. I really struggled finding ways to practice SQL, until I completed "The Ultimate MySql Bootcamp" by Colte Steel on Udemy. This gave me the exact foundation I was looking for, and I feel ready to move on to more intermediate SQL concepts, and know how to get there.

- https://www.udemy.com/course/the-ultimate-mysql-bootcamp-go-from-sql-beginner-to-expert/

- Next step - https://www.udemy.com/course/70-461-session-2-querying-microsoft-sql-server-2012/

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R - Learned basics of R and plotting with ggplot in a weekend. Found R a bit clunky coming from python, with no real advantage for my purposes. I would NOT start learning R until you have a mastery of python. I feel like I wasted a weekend that could have been better served learning python at a deeper level.

Note: R is a fantastic language, and I did love the concept of the "grammar of graphics" with ggplot. Just doesn't fit into my learning schedule atm when there are more useful things I belive I should be learning.

- https://www.udemy.com/course/data-science-and-machine-learning-bootcamp-with-r/

Tableau/Power BI - Useful but probably not what you need right now. Could easily learn basics in a weekend, but may struggle if concept of databases is weak. Before I understood database schemas a bit better, this only served as a clunkier excel for me. I have not done any tableau courses and am less experience than with Power BI, but both essentially serve the same purpose as far as I am aware. The course below taught me to use it much more effectively, and I appreciated the practicality of the course being one big encompassing project.

- https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/

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Excel - Absolutely vital or completely irrelevant depending on what you do. Excel is the bridge to people who freak out when you mention data science. For myself, I work in financial services company in an operations training role. Python, R, SQL, Tableau; I can't use any of these at work. I can do basic report automation through Excel though, in a way my coworkers can understand and work with. In a real data science position, I would think Excel becomes a bit redundant. I don't feel right recommending any courses for excel I didn't take myself, but there are a bunch of great ones on Udemy I am sure.

Hope this helps! :)