Would you know, or can recommend, any good datasets (or practice exercises) using "Jupyter/Python/NumPy/Pandas/Seaborn" for someone with a similar Excel background (and basic understanding of Jupyter/Python/Pandas)?
import pandas as pd
file = pd.read_xlsx('some_excel_file.xlsx')
file # Just typing this will display the file as a table in jupyter, after ctrl-enter to execute the code block
import seaborn as sns
%matplotlib inline # This makes the plot appear in the notebook instead of in a separate window
sns.violinplot(file)
[0] http://scikit-learn.org/stable/auto_examples/datasets/plot_i...
http://www.dataschool.io/best-python-pandas-resources/
https://www.quora.com/How-do-I-learn-data-analysis-with-Pyth...
https://www.quora.com/What-is-the-best-way-to-learn-algorith...
Maybe it's different for you of course. And, I may have been in a nice position where I had a job that started to required X at some point. I realize that. But then maybe you can find a problem of your own (maybe you want to plot the data from your fitness tracker?) I once spend a lot of time plotting the details of my mortgage (cumulative paid, rent, decreasing dept as function of monthly payments), such data is just the result of some input and you make a table out of it yourself (in Excel if you want, in Pandas if you feel comfortable enough).