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.
- //www.udemy.com/course/the-ultimate-mysql-bootcamp-go-from-sql-beginner-to-expert/
- Next step - //www.udemy.com/course/70-461-session-2-querying-microsoft-sql-server-2012/
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.
- //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.
- //www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/
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! :]
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