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32 - So you want to become a data scientist at FAANG
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What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 288209065 series 2848277
If you are a data scientist, or someone who wants to become a data scientist, chances are that you dream about joining a leading tech company, like Google, Facebook, and Amazon. However, depending on your situation and personality, that might not be the best career goal for you.
In this rebroadcast episode, we will talk about the number one pitfall for highly specialized roles in those companies, some hidden reason why they publish a lot of papers, and why you shouldn't just blindly copy how they do data science.
Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
35集单集
已归档的系列专辑 ("不活跃的收取点" status)
When? This feed was archived on February 27, 2024 11:13 (). Last successful fetch was on March 06, 2024 19:14 ()
Why? 不活跃的收取点 status. 我们的伺服器已尝试了一段时间,但仍然无法截取有效的播客收取点
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 288209065 series 2848277
If you are a data scientist, or someone who wants to become a data scientist, chances are that you dream about joining a leading tech company, like Google, Facebook, and Amazon. However, depending on your situation and personality, that might not be the best career goal for you.
In this rebroadcast episode, we will talk about the number one pitfall for highly specialized roles in those companies, some hidden reason why they publish a lot of papers, and why you shouldn't just blindly copy how they do data science.
Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
35集单集
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