Programming Mistakes as a Data Scientist/Analyst

Ignoring Primary Keys

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Not Handling Missing Data Properly

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Overlooking Data Normalization

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Overfitting Machine Learning Models

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Not Validating & Testing Your Code

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Programming Mistakes as a Data Scientist/Analyst

5

Don't make these

Ignoring Primary Keys

Mistake #1

Not Handling Missing Data Properly

Mistake #2

Overlooking Data Normalization

Mistake #3

Overfitting Machine Learning Models

Mistake #4

Not Validating & Testing Your Code

Mistake #5

Looking for a Structured Approach to Finding your dream Job?

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