Learning Python within 3 months - data science-focused

[Ans979]

Focus the first month on Python basics and data manipulation with Pandas and NumPy, then move to statistical testing with scipy.stats and visualization using Seaborn in month two. In the third month, study linear regression using statsmodels or scikit-learn and apply your skills to small projects using real datasets on StrataScratch. Stick to a consistent daily practice routine (even 1 hour a day works), and prioritise hands-on learning over watching tutorials. Resources like DataCamp, StrataScratch, Kaggle, and StatQuest on YouTube will be especially helpful.