Learning Google Tag Manager. I have purchased the eBook, "Practical Google Analytics & Google Tag Manager for Developers," by Jonathan Weber. It is pretty huge (thick), so I also purchased an online course by ConversionXL, with host Chris Mercer.
So far, before the course started a I created an account and my first container. This first video is showing me the basics of the Tag Manager environment and helping me make sure I get set up properly.
Other notes:
Python: finding that there are several ways to import .CSV and .XLS files. You can reference the path as a variable, then open_csv("Path") or you can just add the path. There are several variants.
Also, in Jupyter Notebook (I have it installed with the Anaconda Package), I find that specifying paths seems inconsistent. I have launched the same instance of the same code twice (two different days) and witnessed it not working the second time.
Resources I've been using lately:
Analytics Vidhya, for some free, some paid courses and content
"Python for Data Analysis," by Wes McKinney
"Data Wrangling with Python" by Jacqueline Kazil & Katharine Jarmul
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