Thread regarding Wells Fargo & Co. layoffs

Python, SQL, PowerBI, Tableau. Also learn about the various ML libraries and pandas.

Stand at a busy intersection and hold a sign that says Will Work for Food. You'll make more money than the rest of us.

TV/VCR repair.

I would learn cloud BI for good money, so look at Google Cloud Looker, Amazon Quicksite and Microsoft Power BI.

PowerBI too

I left WF earlier this year and found a role heavily using power Bi. I also interviewed for quite a few Power BI roles. I personally do not enjoy Tableau but I do agree with the other posters that it is a marketable skill.

SAS - then you can work anywhere

(Everything below assumes that OP is not seeking a DBA nor developer type of role, but rather a data analyst, reporting analyst, etc. It also assumes that OP is trying to learn the important broad strokes to get a job, not learn every little possible thing.)

Tableau and SQL should be your main focus. Python can be a useful add-on, but it's solidly in third place compared to Tableau and SQL.

Someone else posted a long list of fringe technologies. Realistically, no one is going to master all of those, and even if you could, your income (compared to only Tableau/SQL and maybe Python) won't scale with it.

You're infinity better off being really good at 2 or 3 things than kinda-sorta-ok at 10 things.

In order, I would learn:

1. Tableau
2. SQL*
3. Python (if/when time allows and you're so inclined).

*The entire breadth of SQL encompasses more things than you'll ever need to know, so focus mainly on understanding when and why to use Left and Inner joins (you will rarely use Right or Full Outer). You don't need much (if any) training on creating/deleting/updating tables. Your job will be too query tables not maintain them. (Some will disagree with me on this point, and I'll post back to elaborate if needed.)

As for training, in order of cost:

1. The internet is full of free training, but it probably won't be very holistic. Meaning, you'll have to work harder to paste it all together in your mind, and it'll be harder to know if you're missing something.

2. Develop You is (usually) free but not much better than what you'll find on the public Internet.

3. Take a class. Community college will be cheapest but slowest. Instead, I would find a private company that offers well-reviewed accelerated training (few day boot camp etc). It'll cost a bit but will have you positioned to start applying for work sooner than later, and you'll have some sort of certificate to go with it (unlike the free options).

My last note about training is to understand that you'll learn ~80% in training and other ~20% on the job. Don't be frustrated or nervous when you're presented with something that you don't immediately know how to solve. The Internet (or hopefully your coworkers) will help you.

OP here, thank you for this feedback. Are there any learning resources you recommend? Like Udemy or something?

SQL and Python (scikit learn, Pandas, NumPy), Spark, advanced ML techniques and algorithms such as RNN, LSTM, GNN, cloud-native AI Google Cloud (Big Query, Vertex A.I., Auto ML, BigTable, GCP Pub/Sub, Tensorflow)

U won’t learn that here

Python, SQL, tableau. That's all you need