__**DATA SCIENCE**__
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__NUMPY AND PANDAS__
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  * [[https://levelup.gitconnected.com/python-numpy-pandas-for-data-science-4b548de8517a#:~:text=Introducing%20NumPy%20and%20Pandas,built%20on%20the%20NumPy%20package.|Quick_intro]]
  * Think_DSP book [[https://greenteapress.com/thinkdsp/thinkdsp.pdf]]


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PANDAS (GENERAL)
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  * Also install these packages: seaborn, matplot, sklearn, scikit-learn
  * Data can be introduced as csv, excel, json, flows.. Do ''pandas.read_'' + tab to see all the options

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LINEAR REGRESSION (PANDAS)
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[[https://towardsdatascience.com/a-simple-guide-to-linear-regression-using-python-7050e8c751c1|Link]], 
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  * dependent var., independent var., intercept, coeficients and n (number of observations)
  * In Python with: ''statsmodels'' and ''scikit-learn''