How do I start a data science project?
Starting a data science project involves several key steps. First, define your problem statement clearly. What are you trying to solve?
What kind of data do I need?
You'll need relevant data that can help answer your problem statement. This could be structured data from databases or unstructured data from sources like social media.
How do I collect this data?
Data can be collected through APIs, web scraping, surveys, or using existing datasets from platforms like Kaggle.
What tools should I use for analysis?
Common tools include Python with libraries like Pandas and NumPy, R, and visualization tools like Tableau or Power BI.
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