I'm taking a Python course (Pierian Data) on Udemy, and I'm gotten through 103 out of 182 of the lectures. I have learned some things, like what certain things are and how to do simple tasks. Once there is a homework assignment though , or a challenge, I have no idea what I'm doing, so I just watch the solutions and code along. Is there something else I should be doing? Is there a resource that I should be practicing on? Or is there another type of media I should use to learn, like a book?

I just feel like if I'm more than half way through the course, I should be able to do anything at all. The only thing I can do is pretty much just printing something.

What scares me is I have other languages to learn on Udemy as well, and I have heard that Python is the easiest.

I would love if someone could tell me something I could do to retain way more information and practice more.

I've been working on my data analysis and started this course on Udemy.
In the tutorial there have been multiple instances were only .corr() is used, like

import seaborn as sns
titanic = sns.load_dataset('titanic')
sns.heatmap(titanic.corr())

which gives me the ValueError: could not convert string to float: 'male'. My roundabout solution is:

sns.heatmap(data=titanic[['survived', 'pclass', 'age', 'sibsp', 'parch', 'fare', 'adult_male', 'alone']].corr())

I use VScode with the Jupyter extension, compared to the tutorial which uses Anaconda - JupyterNotebook.

Is there such a difference in IDE's or is the tutorial just wrong?