大數(shù)據(jù)技術(shù) 學(xué)習(xí)之旅

David Robinson, a data scientist, has said the following quotes:

數(shù)據(jù)科學(xué)家David Robinson曾說過以下話：

“When you’ve written the same code 3 times, write a function.”

“當(dāng)您編寫了3次相同的代碼時(shí)，請(qǐng)編寫一個(gè)函數(shù)。”

“When you’ve given the same in-person advice 3 times, write a blog post.”

“當(dāng)您兩次給出相同的面對(duì)面建議時(shí)，請(qǐng)寫一篇博客文章。”

The first quote is something you should adopt soon, but the focus (literally) for this post is the second quote. I wrote an article recently sharing some tips from my data science journey. In this article, I want to share with you the overall theme that I have been giving advice on since that post, focus.

第一個(gè)引號(hào)是您應(yīng)該很快采用的，但是本文的重點(diǎn)(從字面上看)是第二個(gè)引號(hào)。 我最近寫了一篇文章， 分享了我在數(shù)據(jù)科學(xué)歷程中的一些技巧 。 在本文中，我想與您分享自從發(fā)表這篇文章以來，我一直在提供建議的總體主題。

為什么重點(diǎn)很重要？ (Why focus is important?)

Photo by Nicolas Picard on Unsplash Nicolas Picard在Unsplash上拍攝的照片

If you were to follow the strands on this spider web, you could end up in many different intersection points.

如果您要跟蹤此蜘蛛網(wǎng)上的子線，則可能會(huì)遇到許多不同的交點(diǎn)。

Photo by Deb Dowd on Unsplash Deb Dowd在Unsplash上拍攝的照片

You could also take multiple paths to the same intersection point. But there is an optimal path. A shorter path. This is true of the data science field also. Just the number of subfields alone is vast. Even more so if you include the subject knowledge you need for projects if they are not in the same domain. If can quickly feel overwhelming…

您也可以采用多條路徑到達(dá)相同的交點(diǎn)。 但是有一條最佳的道路。 更短的路徑。 數(shù)據(jù)科學(xué)領(lǐng)域也是如此。 僅子域的數(shù)量是巨大的。 更重要的是，如果您包含的主題知識(shí)不屬于同一領(lǐng)域，那么您就需要這些項(xiàng)目。 如果可以很快感到不知所措...

Photo by Christian Erfurt on Unsplash 克里斯蒂安·愛爾福特在Unsplash上的照片

It took me 2.5 years to land my data science role. If you haven’t read the prior article, here is some quick background on my situation:

我花了2.5年的時(shí)間才能獲得數(shù)據(jù)科學(xué)職位。 如果您還沒有閱讀上一篇文章，請(qǐng)快速了解我的情況：

I am a husband and father to a toddler.

我是一個(gè)小孩的丈夫和父親。

I was a high school teacher with an hour commute in each direction by car.

我是一名高中老師，每個(gè)方向的通勤時(shí)間均為一個(gè)小時(shí)。

I only had an hour or so a day dedicated to data science since my wife supported me in this career change.

自從妻子支持我從事這項(xiàng)職業(yè)以來，我只有一個(gè)小時(shí)左右的時(shí)間致力于數(shù)據(jù)科學(xué)。

I didn’t focus at the beginning. I started with an overview foundation since I didn’t have much of a programming background. I would still recommend this if you have no background in math and/or coding. The problem came afterward when everything about the field was so fascinating I leaped at everything I could interact with. But it prevented me from mastering anything, leading me into that classic saying…

一開始我沒有集中精力。 我從概述基礎(chǔ)開始，因?yàn)槲覜]有太多的編程背景。 如果您沒有數(shù)學(xué)和/或編碼的背景，我仍然會(huì)建議這樣做。 隨后，當(dāng)有關(guān)該領(lǐng)域的所有事情都如此吸引人時(shí)，我就跳下了我可以與之互動(dòng)的一切的問題。 但這阻止了我精通一切，使我陷入了那句經(jīng)典的話……

“Jack of all trades, master of none.”

“萬事通，無精打采。”

Eventually, I felt incredibly overwhelmed. From that, there was a time when I shut down and didn’t practice anything for a few weeks.

最終，我感到難以置信。 從那時(shí)起，有一段時(shí)間我關(guān)閉了并且?guī)字軟]有練習(xí)任何東西。

Photo by Ben Weber on Unsplash 本·韋伯在Unsplash上的照片

那么如何避免我的錯(cuò)誤呢？ (So how can you avoid my mistake?)

There are a couple of approaches you could take and I should have considered sooner:

您可以采取幾種方法，我應(yīng)該早點(diǎn)考慮：

Focus on a particular branch of data science such as natural language processing or data visualization.

專注于數(shù)據(jù)科學(xué)的特定分支，例如自然語言處理或數(shù)據(jù)可視化。

Focus on a domain and sculpt your data science skills around projects in that domain.

專注于某個(gè)領(lǐng)域，并圍繞該領(lǐng)域的項(xiàng)目雕刻您的數(shù)據(jù)科學(xué)技能。

After I got some help to get out of my rut, I took the second approach. Leveraging my educational background, I focused on solving problems related to the education field from the perspective of a teacher. This led me to:

在獲得幫助以擺脫困境后，我采取了第二種方法。 利用我的教育背景，我專注于從老師的角度解決與教育領(lǐng)域有關(guān)的問題。 這導(dǎo)致我：

Influencing a hiring decision based on the academic needs of students.

根據(jù)學(xué)生的學(xué)術(shù)需求影響招聘決定。

Created an overview of my school’s performance in a concise report.

在簡明的報(bào)告中概述了我學(xué)校的表現(xiàn)。

Using a Bayesian version of a T-test to determine if my review lesson improved the student’s understanding and by how much.

使用貝葉斯T檢驗(yàn)確定我的復(fù)習(xí)課是否提高了學(xué)生的理解力以及提高了多少。

Analyzing state exam questions to guide curriculum decisions.

分析州考試題以指導(dǎo)課程決策。

These projects I put on my LinkedIn profile. They got the attention of people I did not expect. It got the attention of the outside school consultant who ended up providing a lot of future help. It got the attention of a Facebook recruiter for a related data science/education position with a starting salary above $130,000. Discussing my experience with these projects got me past the first round of interviews easily.

這些項(xiàng)目我放在我的LinkedIn個(gè)人資料中。 他們引起了我意料之外的人們的注意。 引起了外部學(xué)校顧問的注意，他們最終提供了很多未來的幫助。 它吸引了一位Facebook招聘人員的注意，該招聘人員的相關(guān)數(shù)據(jù)科學(xué)/教育職位的起薪超過13萬美元。 討論我在這些項(xiàng)目中的經(jīng)驗(yàn)使我輕松通過了第一輪采訪。

My rate of getting interviews and getting further in the rounds soon improved since I became more focused. Again, given my situation, it wasn’t the fastest, but it was a vast improvement compared to my previous rate. Each interview improved how I presented myself. Until eventually…

自從我變得更加專注之后，我獲得面試和進(jìn)一步進(jìn)步的速度很快就提高了。 同樣，鑒于我的情況，它不是最快的，但是與我以前的速度相比，這是一個(gè)巨大的進(jìn)步。 每次采訪都改善了我的自我介紹。 直到最后……

Photo by bruce mars on Unsplash 布魯斯· 瑪斯 ( Bruce mars)在Unsplash上拍攝的照片

I succeeded! I landed my dream role and broke into the data science field!

我成功了！ 我找到了自己夢(mèng)dream以求的角色，并闖入了數(shù)據(jù)科學(xué)領(lǐng)域！

At the time of writing this, it has been just shy of three months since this new career started and it has been incredible! The people I work with are amazing, I get constant feedback, my work is having an immediate and/or future impact, and I am getting praised for it (as a teacher you don’t get that often so it is important to me…and also I am a kid at heart).

在撰寫本文時(shí)，距這個(gè)新職業(yè)生涯還不到三個(gè)月，這簡直令人難以置信！ 與我共事的人很棒，我得到不斷的反饋，我的工作具有立竿見影和/或未來的影響，我為此而受到贊譽(yù)(作為老師，您很少得到這樣的幫助，所以對(duì)我來說很重要……)而且我還是個(gè)內(nèi)心的孩子)。

If you are still hunting for your career just know it isn’t impossible. You can do it! Just focus on what you want to do in this field as soon as possible. If you are still experimenting a bit that is ok. But I would recommend doing it quickly if possible. If you are a parent or have a similar situation to me do know it will take longer, but you will get there.

如果您仍在尋找自己的職業(yè)，那就知道那并非不可能。 你能行的！ 請(qǐng)盡快專注于您要在該領(lǐng)域中要做的事情。 如果您仍在嘗試，那還可以。 但是我建議盡可能快地這樣做。 如果您是父母或與我有類似的情況，請(qǐng)知道這將花費(fèi)更長的時(shí)間，但是您會(huì)到達(dá)那里。

When you do get there, you will reflect on your journey up to that point. You will review the good and bad of it all. Finally, you will turn toward the future of your new career, and be amped to get started!

當(dāng)您到達(dá)那里時(shí)，您將反思到那時(shí)的旅程。 您將回顧所有優(yōu)點(diǎn)和缺點(diǎn)。 最終，您將轉(zhuǎn)向新職業(yè)的未來，并為入門做好準(zhǔn)備！

Attentie Attentie on Attentie Attentie在UnsplashUnsplash拍攝

Thanks for reading! If you found this post helpful and you haven’t checked out some of the tips from my journey, you can read about them below:

謝謝閱讀！ 如果您發(fā)現(xiàn)這篇文章很有幫助，但還沒有從我的旅程中找到一些技巧，則可以在下面閱讀有關(guān)它們的信息：

Also if you are entering the field with a math background and feel you need help organizing a learning plan, check out my recommendations in this article below:

另外，如果您以數(shù)學(xué)背景進(jìn)入該領(lǐng)域，并且認(rèn)為需要幫助組織學(xué)習(xí)計(jì)劃，請(qǐng)?jiān)谙旅娴谋疚闹胁榭次业慕ㄗh：

You can follow me here or connect with me on Linkedin and Twitter. Open to DM’s on Twitter.

您可以在這里關(guān)注我，也可以通過Linkedin和Twitter與我聯(lián)系。 在Twitter上打開DM。

Until next time,

直到下一次，

John DeJesus

約翰·德耶穌

翻譯自: https://towardsdatascience.com/why-focus-is-key-for-your-data-science-journey-b62715b2a1c

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