I am not sure if the right category since I am going to talk about coding strictly speaking. If it is indeed not, let me apologize in advance and, could a moderator move it to the right section?
DataQuest courses are extremely dense and I was wondering your methods to remember a maximum before you go on your own analysis with rogue datasets (let’s say on Kaggle for example). Do you use notebook and write specifications, do you copy paste on a word document? What is your diet?
Personally, I tend to redo the classes once I have finished them. I wait for few days and start doing it to see my degree of independence. If it is good enough, I go on an adventure and make a Kaggle kernel. So far my methods have been infective and I was starting to wonder how I could improve them. Self-studying can be tough so if you have your own tips, that’d be nice to share, even though I know everyone is different.
Best to all of us!