Hi there! I am now dealing the course ‘Handling Missing Data’ (which is beginner friendly) but I don’t feel so. I am stuck here https://www.codecademy.com/courses/handling-missing-data/articles/handling-missing-data-deletion the part about Listwise deletion, the exercise before Pairwise deletion where they ask to use listwise deletion. I don’t understand how to do that, I am a beginner, and it is super confusing for me that there is no any explanation for the code, it’s all Greek to people like me. Can anyone help me with that, what exactly should I write? In their example they suggest data.dropna(inplace=True) , but it doesn’t work. Thank you all in advance for explanations!
That is indeed a tough way to launch your learning. May we recommend pause this unit and complete the Learn Python 3 track before resuming? It will shore up your basic skills and understanding and better prepare you for working with libraries and other forms of abstracted code.
Okay, thank you so much for the answer! I actually chose the career path ‘Data Scientist: Natural Language Processing Specialist’ (I am an experienced translator), so I had better stop for the time being this course and dive into Python?
I agree with @mtf . If you have no Python experience, then the DS NLP track isn’t going to make a lot of sense. NLP is pretty advanced for data science. Start with Python3 and maybe also look into some of the data analyst/science courses that have intros to Python in them. Much of the content overlaps, so once you complete it in one area, it’s marked as complete elsewhere.
Wow, it makes me feel so panicky that it is actually not for beginners and that I won’t succeed But I need to keep going, thank you so much for the advice!
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