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29 - Forget that you are doing data science
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 281959927 series 2848277
One of the reasons why we love data science so much is because of the amazing methods, techniques, and technologies we can use to solve different problems. However, if you only focus on these technical tools, you will fall into the biggest trap in doing data science. In this episode, we will show you why that is the case, and when you should forget that you are doing data science.
BTW, 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 281959927 series 2848277
One of the reasons why we love data science so much is because of the amazing methods, techniques, and technologies we can use to solve different problems. However, if you only focus on these technical tools, you will fall into the biggest trap in doing data science. In this episode, we will show you why that is the case, and when you should forget that you are doing data science.
BTW, 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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