Feature Requests

Use a web application for whatever purpose you may have

I would love to see a formal Data Engineering learning path that starts with Python and SQL foundations, then moves into scripting, big data and NoSQL.

It would be helpful to have a data set with general ledger detail. Including the feeds from various subledgers AP, AR, projects, as well as things posted straight to the GL like journal entries. I can probably just use the data at my job but I am typically practicing on my own pc. Im sure others are interested in learning how to build basic financial statements such as AR agings, balance sheets, and incomestatements.

Provide a new guided project connecting a python visual (matplotlib and seaborn) to a Power BI report (Power BI Desktop.) The project could connect two different visuals to the Power BI report. One from each python library (matplotlib and seaborn). The development of this guided project could be a collaborative effort between Chris Dutton, Aaron Perry, and Chris Bruehl. I think other Maven Analytics members would find the guided project of value. The guided project does not need to be long. I think you can make the assumption that people have taken the Power BI and the matplotlib - seaborn courses. The focus should be on connecting the visual to one or more Power BI datasets on the report. I have struggled with adding python visuals to a Power BI report and I think a guided project would get me and others on the right path. If you have any questions or would like to discuss, please let me know.

Hello Team, Power BI is a great tool for visualization, however, it is even more powerfull if we learn how to integrate with the entire eco-system. (at least Power Apps, Power Automate, and Sharepoint) It would be nice if you would consider adding such course into the pool as well. Thank you guys

I would like to see the courses on Data Storytelling. How can we improve the way of telling stories about data in a professional way?

n8n is a powerful open-source workflow automation tool that enables analysts to connect data sources, automate repetitive tasks, and integrate analytics platforms without heavy coding. In the data analytics ecosystem, efficiency and scalability are critical: analysts often spend significant time preparing, cleaning, and moving data before insights can be generated. A dedicated n8n course would teach professionals how to streamline these processes, reduce manual effort, and build automated pipelines that connect tools like databases, APIs, and BI platforms. This not only accelerates analysis but also empowers teams to focus on higher-value tasks such as modeling, visualization, and strategic decision-making.

Now a lot of companies hire data analyst who need to know to use Cloud Platform like Azure, AWS, GG Cloud so I think it's essential and important skill for us so I hope in the future, Maven Analytics can publish more courses about this topic. Besides that, Maven can provide more courses for Data Engineer. Thank Maven and all of the instructors a lot. You guys did great job until now.

Hi guys, love your platform and products! With the recent announcement of Microsoft Fabric, I would love your team to create some courses surrounding the new tool, specifically Onelake. Thanks!

I have been using your content on Linked In, Udemy and now I am a subscribed user. Courses are amazing which is why I am loyal to your course. One thing I feel we are missing is a course that talks about how to embed Python analytics into PBI and the visuals. Even a basic 3 to 5 hour course that talks about 1) Importing data wrangled in Python using Pandas and Numpy into PBI 2) building some advanced analytics in Python and then rendering the results in PBI 3) Rendering visuals built using Matplotlib and Seaborn into PBI Will be supremely helpful. Once you get us started, we can figure out how to go from there.