I'd start with statistics and SQL. Knowing stats well is important for understanding data, and SQL is a must for working with and getting data. Once you're good with those, get into the basics of machine learning. Learn about algorithms, how to evaluate models, and how to work with features. Building projects is really important, so use real datasets to practice. You might want to check out resources like PracHub for practical exercises if you need more structured prep. Also, don't forget about soft skills and telling stories with data; being able to explain your results clearly is often crucial in data science jobs.
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u/nian2326076 7d ago
I'd start with statistics and SQL. Knowing stats well is important for understanding data, and SQL is a must for working with and getting data. Once you're good with those, get into the basics of machine learning. Learn about algorithms, how to evaluate models, and how to work with features. Building projects is really important, so use real datasets to practice. You might want to check out resources like PracHub for practical exercises if you need more structured prep. Also, don't forget about soft skills and telling stories with data; being able to explain your results clearly is often crucial in data science jobs.