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.
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.
Bitcoin is built on a distributed digital record called a blockchain. As the name implies, blockchain is a linked body of data, made up of units called blocks that contain information about each and every transaction, including date and time, total value, buyer and seller, and a unique identifying code for each exchange. Entries are strung together in chronological order, creating a digital chain of blocks. “Once a block is added to the blockchain, it becomes accessible to anyone who wishes to view it, acting as a public ledger of cryptocurrency transactions,” says Stacey Harris, consultant for Pelicoin, a network of cryptocurrency ATMs. Blockchain is decentralized, which means it’s not controlled by any one organization. “It’s like a Google Doc that anyone can work on,” says Buchi Okoro, CEO and co-founder of African cryptocurrency exchange Quidax. “Nobody owns it, but anyone who has a link can contribute to it. And as different people update it, your copy also gets updated.”
The seemingly negative pandemic effects and resource/product shortages are encouraging and allowing organizations to innovate and change.The news of cash-rich organizations getting ready for the post-Covid growth economy is a sign of more than capital spending plans. Cash provides a cushion for risk-taking and a tool for growth.
