Feature Requests

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

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.

I could really use a deep dive into R/RStudio: programming, statistics applications, data wrangling, etc. I like the teaching style at Maven--this would really help me a lot.

A learning pathway focusing on statistics and applications. I know there was already one course of Stats with a data analysis focus (have not checked it out yet) but would love to see more content in this along with a feature of a statistical software such as SPSS, Stata, R, or SAS.

It will be a great opportunity to develop a data analysis course specific to actuarial science that offers hands on project ( pricing, reserving, asset liability management, risk management..etc

It would be really helpful to have additional SQL practice problems using the databases we already have from the courses. It would be great to keep the skills sharp and prepare for interviews.

Having a knowledge of this module will help me apply for jobs that requires the skill in the module. Thank you.

Hi Team, Wanted your help in getting customer experience dataset for healthcare industry. kindly help me if you have. Thanks

Hello! Is it possible to add fewer US-centric MySQL projects and a couple more general ones? For instance, I'm from Europe. Chances are if I present a portfolio with projects regarding US baby names, baseball teams/players, and how many cars were stolen in the New Zealand - which happen to be the only 3 guided projects available in MySQL - employers would most likely scratch their heads. Why would I choose such a project? I also truly believe having projects that are related to finance or e-commerce would be a better fit for our portfolios. Can something be done about it? Thank you!

Would love more health care datasets to work with for people who want to transition to healthcare or are work healthcare.