I’m feeling stuck.

我感覺卡住了。

In my current work and in the content I create (videos and blog posts), I feel like I’ve begun to stall out. Most of the consumers of my content are at the start of their data science journey. The longer I’m in the field, the less I feel I can relate to them.

在我目前的工作和創作的內容(視頻和博客文章)中，我感覺自己已經開始陷入困境。 我內容的大多數消費者都處于他們的數據科學之旅的起點。 我在該領域工作的時間越長，與他們的聯系就越少。

On the other hand, I don’t work with anything cutting edge in my day job. I’m not exactly progressing my data science skills further either. I’ve been caught up in the messy middle, and I don’t like it.

另一方面，我在日常工作中沒有任何前沿技術。 我也沒有進一步提高我的數據科學技能。 我陷入了混亂的中間，我不喜歡它。

It is time for a change.

現在是時候改變了。

If You Prefer Video: https://www.youtube.com/watch?v=uXLnbdHMf8w

如果您喜歡影片： https ： //www.youtube.com/watch？v = uXLnbdHMf8w

我從頭開始 (I’m starting from the beginning)

I decided that the best way to jump-start myself would be to start learning data science again from the beginning. This would also help me to relate better to my core audience and produce better content.

我認為，快速入門的最好方法是從頭開始重新學習數據科學。 這也將幫助我更好地與核心受眾建立聯系并產生更好的內容。

I have come to realize that the habits that I have related to data science were starting to atrophy. I wanted to find a way to reinforce those as well.

我已經意識到，與數據科學有關的習慣正開始萎縮。 我也想找到一種方法來增強這些功能。

The two concepts that I have found most valuable in my pursuit of data science have been consistency and accountability. I wanted to create a movement to foster growth in these areas.

在追求數據科學方面，我發現最有價值的兩個概念是一致性和責任感。 我想發起一項運動來促進這些領域的增長。

我的解決方案：＃66DaysOfData (My solution: #66DaysOfData)

Instead of doing this by myself, I wanted to share my data science learning journey with others and encourage them to participate. I am officially starting the #66DaysOfData initiative on September 1st. I chose 66 days because that is the average amount of time that it takes to establish a new habit (I know there are major problems with averages… but bear with me).

我不想自己做，而是要與他人分享我的數據科學學習歷程，并鼓勵他們參與。 我將于9月1日正式開始＃66DaysOfData計劃。 我選擇66天是因為這是養成新習慣所需的平均時間(我知道平均水平存在重大問題……但要忍受)。

This is a very simple challenge. There are only two requirements:

這是一個非常簡單的挑戰。 只有兩個要求：

Learn data science for a minimum of 5 minutes per day for 66 days straight (consistency)

每天至少學習5分鐘的數據科學，連續66天(一致性)

Share what you will be working on each day on the platform of your choice using #66DaysOfData (accountability)

使用＃66DaysOfData(問責制)在您選擇的平臺上共享您每天的工作量

You are welcome to start from the beginning again with me, or you can study whatever matches your current interests.

歡迎您從我這里重新開始，或者您可以學習符合您當前興趣的任何事物。

Discord Server for the initiative: https://discord.gg/VXSUJYJ

主動的Discord Server： https ： //discord.gg/VXSUJYJ

You can also hold me accountable here: https://twitter.com/KenJee_DS

您也可以在這里要求我負責： https ： //twitter.com/KenJee_DS

為什么你應該加入我 (Why you should join me)

I think everyone can benefit from improved data science habits. To me, habits make it so that we don’t have to work as hard. We go into auto-pilot when our habits kick in and we don’t have to fight the resistance of starting.

我認為每個人都可以從改善的數據科學習慣中受益。 對我來說，習慣使之成為現實，這樣我們就不必再努力工作了。 當我們的習慣開始時，我們將進入自動駕駛，而我們不必對抗起步的阻力。

For me, momentum has always been a huge problem. I get really into a project or an idea and have no problem spending a significant amount of time on it. After I put it down for a day or two, I struggle to pick it up again because I feel like I have to relearn it all over. Working every day (even if it is just 5 minutes), can help you keep momentum and avoid stalling out.

對我而言，動力一直是一個巨大的問題。 我真的很喜歡一個項目或一個主意，并且花大量時間在它上面沒有問題。 在放下一兩天后，我很難再次拾起它，因為我覺得我必須重新學習它。 每天工作(即使只有5分鐘)也可以幫助您保持動力并避免停滯。

From producing YouTube content, I know that I am far more likely to do something if I tell others about it. I have been very vocal with my goals and projects and I think this has helped me have some moderate success on the platform. I want to share the power of accountability with those interested in this initiative. It can be incredibly scary, but it also tremendously rewarding.

通過制作YouTube內容，我知道，如果我告訴其他人，我更有可能做某事。 我一直對自己的目標和項目表達意見，我認為這有助于我在平臺上取得一定程度的成功。 我想與對此計劃感興趣的人分享問責制的力量。 它可能會令人難以置信的令人恐懼，但也會帶來巨大的回報。

Not only will you be held accountable, but this will also encourage you to share your work. If you have read my articles or watched my videos, you know how important I believe sharing your work socially is. This is a very simple and low pressure way to get in the habit of sharing your projects and goals with your communities.

您不僅要承擔責任，而且還會鼓勵您分享自己的工作。 如果您閱讀了我的文章或觀看了我的視頻，您就會知道我相信與他人分享您的作品非常重要。 這是養成與社區共享項目和目標的習慣的一種非常簡單且壓力小的方法。

我將如何學習 (How I’ll be learning)

Again, there is no need to follow along with exactly what I am doing. This challenge is focused more on creating good habits and helping you to learn the exact data science knowledge that you are interested in.

同樣，沒有必要完全按照我在做什么。 這項挑戰更多地集中在養成良好的習慣并幫助您學習感興趣的確切數據科學知識上。

Still, if people are interested in starting from the beginning with me, I have shared the resources I will be using and the steps that I will be taking in this video: https://www.youtube.com/watch?v=uXLnbdHMf8w .

盡管如此，如果人們有興趣從頭開始，我已經分享了我將使用的資源以及該視頻中將采取的步驟： https : //www.youtube.com/watch?v=uXLnbdHMf8w 。

最后的想法 (Final thoughts)

I think this is a great excuse to break out of the rut that you’re in. It is common to feel unmotivated and stuck. We can break out of these feelings together with the power of the habits that we are creating.

我認為這是擺脫您發情的絕妙借口。感到動力不足和陷入困境很常見。 我們可以擺脫這些感覺，并養成我們所養成的習慣的力量。

Hopefully seeing me start again from the beginning will help inspire you to pick it up as well! I think that this will be a fun experiment, and I hope that you all participate in it with me!

希望看到我從頭開始重新起步，也將有助于激發您的興趣！ 我認為這將是一個有趣的實驗，希望大家與我一起參與！

翻譯自: https://towardsdatascience.com/why-im-starting-data-science-over-21bec8036ce9

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