Related Posts
Anyone knows of a good deal on office chair?
Is BRK-B a buy right now?
This happened today.
How often do you change jobs?
Any SAP BRIM experts, mostly around SAP CC & CM?
Additional Posts in Consulting
You know you're a consultant when...
Any 🐠 at #HRTechConf?
EY what are you hiring in? Trying to break in.
New to Fishbowl?
unlock all discussions on Fishbowl.
Offered without comment
Please people this is disgraceful. You need to learn statistics and mathematics first. The tools are an icing on the cake.
Echoing PwC2 👏🏾👏🏾👏🏾,
it depends on what ave of data analytics but have to whole heartedly disagree with EY. Python is more appealing
I don’t think it is an either or. Learn SQL. And Python. And if you have time and are dying to learn it- R.
From my understanding those coding languages are just the tool by which you run your analysis. You have to get a good understanding of underlying data science and analysis principles.
^meh. I'd rather use Julia/R. Python doesnt get me. Those other two languages do =]
It isn’t SQL or Python—it should be both + more. If you want to focus on ML/NLP/CNN/RNN/etc, Python is your friend. However I would also look into both relational and non-relational data types for analysis, as data for advanced analytics is normally a hybrid of structured, semi-structured, and unstructured data.
I’m just trying to download the most appropriate udemy course for a beginner. I’ve heard python is more valuable than SQL, but friends have also told me advanced excel skills work too
the former. make sure you have a firm understanding of sql
You can do a lot with excel, personally started with it and will always love it BUT python is a much more powerful tool. At a certain point it makes sense to switch whatever you can to it (start with pandas). I still rely on excel but also use python as much as possible
SQL also super important, had project work using python to connect to a database, run sql queries and then create visualizations using pandas + plotly
All of them.
I agree that you should take a refresher on statistics and math first (though I won’t call your question disgraceful 🙄). All the tools you mentioned are used for different purposes. If you really want to learn, read up on the underlying principles and the different analytic methods like classification, clustering, regressions, etc.
Python all the way. Super powerful tool. The language is simple and you can do wonders on your own with a relaxed mind and all the structured documentation there is.
I bought SQL, python, and excel modeling courses from a udemy flash sale. Appreciate the insight