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In #datascience, you must understand context. There are times at work where looking at the data alone didn't help me from solving the problem.

It doesn't matter if your domain is in marketing, healthcare, product, etc... You need to understand the context first before diving into the data. Without background information about how the data was generated, it becomes really difficult to make accurate assumptions on what your data will show.

Taking the time to understand the context will not only benefit you in your analysis, but you may even help your colleagues tackle the problem better.

When you are informed about the data and problem, you increase your value because now you're in a position to communicate and identify other potential problems.

So do this:
On your next project, take the time to not just do EDA, but also document your understanding of the context behind the data.

This good practice will definitely help you in your career and is a valuable skill you can bring to any team.
Context first, data second.

❇️ @AI_Python_EN



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In #datascience, you must understand context. There are times at work where looking at the data alone didn't help me from solving the problem.

It doesn't matter if your domain is in marketing, healthcare, product, etc... You need to understand the context first before diving into the data. Without background information about how the data was generated, it becomes really difficult to make accurate assumptions on what your data will show.

Taking the time to understand the context will not only benefit you in your analysis, but you may even help your colleagues tackle the problem better.

When you are informed about the data and problem, you increase your value because now you're in a position to communicate and identify other potential problems.

So do this:
On your next project, take the time to not just do EDA, but also document your understanding of the context behind the data.

This good practice will definitely help you in your career and is a valuable skill you can bring to any team.
Context first, data second.

❇️ @AI_Python_EN

BY AI, Python, Cognitive Neuroscience


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What Is Bitcoin?

Bitcoin is a decentralized digital currency that you can buy, sell and exchange directly, without an intermediary like a bank. Bitcoin’s creator, Satoshi Nakamoto, originally described the need for “an electronic payment system based on cryptographic proof instead of trust.” Each and every Bitcoin transaction that’s ever been made exists on a public ledger accessible to everyone, making transactions hard to reverse and difficult to fake. That’s by design: Core to their decentralized nature, Bitcoins aren’t backed by the government or any issuing institution, and there’s nothing to guarantee their value besides the proof baked in the heart of the system. “The reason why it’s worth money is simply because we, as people, decided it has value—same as gold,” says Anton Mozgovoy, co-founder & CEO of digital financial service company Holyheld.

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