Feature Requests

Dear Creator. I hope this message finds you well. My name is Oussama Amdouni, Founder of INOPS Analytics, a data-focused initiative centered on structured analytical education and capability development. I am currently developing a structured learning roadmap titled “The INOPS Data Analyst Foundation Program.” The purpose of this program is to guide aspiring data analysts through a clear, curated progression of high-quality resources to eliminate the confusion many beginners face online. During my research and preparation, I found your content to be exceptionally clear, valuable, and aligned with the level of depth I aim to provide to students. Your work stands out as both educational and practical. I would like to request your permission to include and reference specific videos from your channel as recommended learning resources within this structured program. To clarify: • I will re-upload, and redistribute your videos. • I would direct students to your original YouTube content via official links. • Full credit would be clearly provided. • Links to your channel and related resources would be included to drive visibility and traffic back to your platform. The goal is to build a structured pathway that guides students toward high-quality material including yours while adding additional assessment, projects, and portfolio-building layers around it. Thank you for the educational value you contribute to the community. I appreciate your time and consideration, and I look forward to your response.

For Power Query tutorials perhaps you could include some tips on efficient sourcing of data? While the direct data sourcing options within 'Get Data' are extensive, I'm thinking that for efficiency and speed it's probably best for Excel/PowerBI to primarily import data from .csv files in folders which have been created by external SQL procedures run on a daily or perhaps more regular basis? This also might make the solutions more portable for testing and perhaps also resilient to occasional database downtime. Broadly I'm asking for tips on how to configure the general environment in which our projects run, to have the best chance of success. Thanks for your consideration.

With Python now being a part of Excel it would nice to have a training about how to use Python in Excel, including a understanding how it works and how it can help with the data analysis process.

Hello Maven, I just recently came across a new Excel function called Lambda. It seems very powerful, but I'm not very sure how it can be effectively applied on the data analytics field, especially the part about recursive lambda. Would be great if you guys can come up with a course for us noobs to learn it. Thanks very much! Keep up the great work! Jonathan

Data Engineer seems to be the most requested role when I look at job ads. Any plans to add a learning path for this role?

When reviewing the results of an assessment, I want to see the questions & my answers for the questions I got right. This used to be visible and it's disappointing that that feature was removed. Please add this feature back. It is beneficial to the learning experience to the questions I got right along with the questions I got wrong.

Any course material diving into M language (similar to advance DAX course).

The brief MySQL example shown in the Power BI Desktop course was a great introduction to how databases can be used as data sources. I’d love to see this topic expanded into a full project build out; an end-to-end implementation with Lakehouses, Warehouses, and/or OneLake would add a lot of practical value. Even better if you can make an Azure lesson to go along with it!

Dear Amazing Maven Team, Your trainings are absolutely excellent. I would greatly appreciate it if you could provide a learning path on automation and RPA (Robotic Process Automation), particularly focused on Power Automate, Power Automate Desktop, and UiPath.

A capstone course for different learning paths that combines all the hard skills learned with an emphasis of using them with soft skills. For example for the Data Analyst path-having a course that combines pulling data from writing SQL queries and using it to visualize it in tableau/Power Bi. Emulating a real world example in the day of a data analyst.