Just like most attributes of humans, including both the bright and dark sides, being an introvert is no exception. This article was not written to inspire you as most articles about data science or engineering do. What we want is that by the end of this article you will be informed with relevant tips that contain facts and experiences of Omdena Challenge participants on their journey towards Data Science.

就像 人的大多數屬性，包括明亮和黑暗的一面，內向也不例外。 這篇文章并不是像大多數有關數據科學或工程的文章那樣激發您的靈感。 我們想要的是，到本文結尾，您將獲得相關提示，其中包含Omdena Challenge參與者在邁向數據科學的過程中的事實和經驗。

As the name suggests, introverts are people who enjoy introspection, and commonly think through almost everything. On the other hand, they quite often reserve their opinions to themselves. In addition, introverted behavior is sometimes associated with fear of mistakes or disagreement with other people’s opinions.

顧名思義，性格內向的人喜歡內省，并且通常會思考所有事情。 另一方面，他們經常保留自己的意見。 此外，內向的行為有時會伴隨著對錯誤的恐懼或對他人觀點的分歧。

Data science requires steady communications and open-minded perspective of those involved. It also includes intensive dedication and collaboration. As every project, there are no Omdena challenges which are easy from the very beginning to the end. That said, it is important to clarify that being an introvert is not a crime neither should it prevent you from following a career you like: it is all about who you are and how you intend to develop yourself towards your goals. We have never participated in any challenge that was easy from the very beginning to the end including the Omdena challenges.

數據科學需要穩定的溝通和對相關人員的開放態度。 它還包括密集的奉獻與合作。 作為每個項目，從始至終都沒有容易遇到的Omdena挑戰。 就是說，重要的是要闡明，內向并不構成犯罪，也不應阻止您從事自己喜歡的職業：這完全取決于您是誰，以及您打算如何實現自己的目標。 從一開始到最后，我們從未參與過任何容易的挑戰，包括Omdena挑戰 。

Being an introvert is not a crime neither is it a bad idea to be an introvert engineer; it’s all about how you intend to develop yourself, such that, you are equipped to confront the challenges and resolve the problems standing before you and your team.

內向不是犯罪，成為內向工程師也不是什么壞主意。 這完全取決于您打算如何發展自己，以便您有能力面對挑戰并解決擺在您和您的團隊面前的問題。

In what follows, you will learn how to equip yourself to stand against the challenges that may come to introverts while embarking on the journey of solving a Data Science problem. Below are five essential steps to excel in a data science project as an introvert.

在接下來的內容中，您將學習如何在開始解決數據科學問題的過程中，裝備自己以應對內向的挑戰。 以下是在數據科學項目中表現出色的五個基本步驟。

1)共同定義問題 (1) Define a problem collaboratively)

The ability to identify a problem is not tied to either extroverts or introverts. According to an introductory class in IBM machine learning, humans possess patterns in identifying and solving a problem. The pattern is:

識別問題的能力與外向或內向無關。 根據IBM機器學習的入門課程，人類擁有識別和解決問題的模式。 模式是：

Observe->Evaluate->Interprete->Conclude

觀察->評估->解釋->結論

Introverts are generally good at observing and evaluating because of their introspective and focused personality. The same may not be true when it comes to presenting their views and opinions. As an introvert, you will see lots of problems that need to be solved due to your genuine ability to quietly observe your environment. However, as a Data Scientist, it is important to understand that problems need to be defined and understood not just by you alone, but by an entire team of collaborators. As a better understanding of the problem arises and the project develops, more and more questions will pop up. As an introvert, you may be surprised to find out how much you will learn about the problem from other people’s perspectives, instead of just learning through reading or watching related videos in a typical introspective style. This means that the strong observation and evaluation skills of introverts are essential for the first stages of a Data Science problem, but to finally solve it, a team must also be able to efficiently communicate their interpretations and conclusions. Moreover, being in contact with collaborators opens room for curiosity and learning. You can practice communication by building confidence and appreciation to discuss everybody’s opinions by saying ‘this is an important observation’, ‘I see your point, but I think we can have this or that as an alternative’, ‘What do you guys think?’, etc.

內向的人通常善于觀察和評估，因為他們具有內省和專注的個性。 在表達他們的觀點和觀點時可能并非如此。 作為一個性格內向的人，您會看到許多需要解決的問題，這是由于您具有真正觀察環境的真正能力。 但是，作為數據科學家，重要的是要理解不僅需要您一個人而且還要由整個協作者團隊來定義和理解問題。 隨著對問題的更好理解和項目的發展，將會出現越來越多的問題。 作為一個性格內向的人，您可能會驚訝地發現從其他人的角度將學到多少有關該問題的知識，而不僅僅是通過閱讀或觀看具有典型內省性的相關視頻來學習。 這意味著內向型人的強大觀察和評估技能對于數據科學問題的第一階段至關重要，但是要最終解決該問題，團隊還必須能夠有效地傳達其解釋和結論。 此外，與合作者的接觸為好奇和學習提供了空間。 您可以通過說“這是一個重要的觀察結果”，“我明白您的觀點，但我認為我們可以選擇這種方式或其他方式”，“你們怎么看？”來建立信心和欣賞力，來討論每個人的意見， 從而進行交流。 '等

In addition to that, one can develop the confidence of appreciating people’s views by saying, ‘thank you’, ‘great observation’, ‘you have a nice point but I think, we can have this or that as an alternative’. Be involved because as much as the task is for the group, sometimes you have to take it personally.

除此之外，可以說“謝謝”，“偉大的觀察”，“您的觀點很不錯，但是我認為，我們可以選擇這種方式或那種方式” ，從而建立起欣賞人們觀點的信心。 參與其中，因為與小組任務一樣多，有時您必須親自處理。

2)處理您的數據科學冒充者綜合癥 (2) Deal with your Data Science Impostor Syndrome)

Two psychology scientists namely: Pauline Cline and Suzane Imes; coined the term, ‘Impostor syndrome’ in 1978. Imposter Syndrome is a psychological condition in which an individual feels unaccomplished, presenting an internal fear that they may be regarded as a fraud if exposed. Although it is believed that Imposter Syndrome is more common among women in an environment dominated by men, it is a condition that can impact everyone.

兩位心理學家分別是：Pauline Cline和Suzane Imes； 冒名頂替綜合癥(Impostor syndrome)于1978年被創造出來。冒名頂替綜合癥( Imoster Syndrome)是一種心理狀況，使個人感到自己無能為力，表現出內心的恐懼，即如果暴露在外，就會被視為欺詐。 盡管人們認為在男性主導的環境中冒名頂替綜合癥在女性中更為普遍，但這是一種可以影響所有人的疾病。

Participating in the Omdena challenges gives us the opportunity to engage in several tasks and collaborate with a large group of people. And as in any group, it is quite common to come across people who are new to the field and are afraid of asking questions or that, if do so, start with a common apology (‘can I ask something stupid?’). Remember: there are no stupid questions. Sometimes, there are no right or wrong answers either. In this regard, it is always good to re-frame your mindset to a positive one and see every question as an opportunity to learn. Looking into the group of people changing career fields towards Data Science, it is possible that they feel overwhelmed and experience imposter syndrome too. Changing careers requires a lot of self-organization and it is not always an easy task: it implies having to leave your comfort zone, getting used to jargon and developing new skills.

參加Omdena挑戰使我們有機會參與多項任務并與一大群人合作。 就像在任何小組中一樣，碰到剛接觸該領域并且害怕問問題的人還是很常見的，如果這樣做，首先要道歉( “我能問些愚蠢的事情嗎？” )。 記住：沒有愚蠢的問題。 有時，也沒有對或錯的答案。 在這方面，最好將您的心態重新定型為積極的心態，并將每個問題視為學習的機會。 調查一群正在將職業領域轉向數據科學的人們，他們可能會感到不知所措，并遭受冒名頂替綜合癥。 改變職業需要大量的自我組織，這并不總是一件容易的事：這意味著必須離開自己的舒適區，習慣于行話和發展新技能。

Let’s get this straight: Data Science is a field of constant (and fast!) evolution. You will not suddenly become an expert on every new technique available out there (and that’s ok!). Instead, get used with being constantly learning. But more importantly, for those who come from another background (be it Physics, Engineering, Computer Science or others), throughout your learning journey you will eventually notice that several of the buzzwords out there were already taught to you. So, identifying transferable skills, such as data analysis and programming, can be used as a self-evident indication that you are not a fraud and help you to deal with imposter syndrome.Though, introverts are highly innovative through their ability to observe and generate out of the box ideas. Warren Buffet who is a billionaire entrepreneur is also an introvert. Maybe, let me refer to him as a proud introvert. He said, “An idiot with a plan can beat a genius without a plan”. This is how it relates to impostor syndrome, one of the best ways of solving impostor syndrome is through communication.

我們直截了當：數據科學是一個不斷(且快速！)發展的領域。 您不會突然成為可用的每種新技術的專家(沒關系！)。 相反，要習慣不斷學習。 但是更重要的是，對于那些來自其他背景的人(無論是物理，工程，計算機科學還是其他領域)，在您的整個學習過程中，您最終會注意到那里已經有幾個流行詞已經教給您了。 因此，識別出可轉移的技能(例如數據分析和編程)可以作為不言自明的證據，表明您不是欺詐行為，并且可以幫助您處理冒名頂替者綜合癥。盡管如此，性格內向的人憑借其觀察和產生的能力具有高度創新性開箱即用的想法。 億萬富翁企業家沃倫·巴菲特(Warren Buffet)也是一個內向的人。 也許，讓我稱他為內向的驕傲。 他說： “有計劃的白癡可以在沒有計劃的情況下擊敗天才” 。 這就是它與冒名頂替綜合癥的關系，解決冒名頂替綜合癥的最佳方法之一是通過交流。

3) 與性格外向的人合作 (3) Collaborate with extroverts)

In most cases, extroverts tend to be also very charismatic individuals which makes people drawn close to them. Introverts, on the other hand, also can get a successful reputation by their good listening and observation abilities. They also tend to be good leaders by setting their subordinate on the right path through crucial suggestions and meticulous guidance. Meanwhile, an introvert can always profit from having a couple of extrovert team members, to complement their weaknesses through the power of collaboration.

在大多數情況下，性格外向的人也往往是非常有魅力的人，這使人們變得離他們很近。 另一方面，性格內向的人也可以憑借其良好的傾聽和觀察能力而獲得成功的聲譽。 他們還可以通過關鍵建議和精心指導，使下屬走上正確的道路，從而成為好領導者。 同時，性格內向的人總是可以從擁有幾個性格外向的團隊成員中獲利，通過協作的力量來彌補他們的弱點。

Bill Gates, the owner of Microsoft, is a self-proclaimed introvert. He once explained how he benefits from the people around him to complement his weaknesses. In his own words, “If you are clever, you can learn to get the benefits of being introvert, which might be say, being willing to go off for a few days and think about a tough problem, read everything you can, push yourself very hard to think out on the edge of that area. Then, if you come up with something…you’d better hire some extroverts and tap into both sets of skills”. In addition to this, patience should be a constant practice, as chances are high that you will meet different kinds of persons, not only in personality, but also in culture and backgrounds, throughout your career in Data Science. Identifying strengths in persons is extremely powerful and can come in hand in all sorts of ways. For example, your colleague from South America can help your team to collect data in Spanish, making your data set much more informative. Such intercultural and interpersonal skills may come easier to introverts, and for sure can enrich one’s personal development.

微軟的所有者比爾·蓋茨是一個自稱內向的人。 他曾經解釋過如何從周圍的人中受益，以彌補自己的弱點。 用他自己的話說： “如果你很聰明，你可以學會獲得內向的好處，這可能是說，愿意離開幾天并思考一個棘手的問題，閱讀所有可能的內容，推動自己在該區域的邊緣很難思考。 然后，如果您想出點什么……最好雇用一些性格外向的人，并充分利用這兩套技能 。” 除此之外，耐心應該是一種持續的習慣，因為在數據科學的整個職業生涯中，您很有可能會遇到各種各樣的人，不僅在個性方面，而且在文化和背景方面。 識別人的力量非常強大，可以通過各種方式進行。 例如，您來自南美的同事可以幫助您的團隊以西班牙語收集數據，從而使您的數據集更具參考價值。 這樣的跨文化和人際交往能力可能更容易向內向，并且可以肯定地豐富個人的發展。

4)學習和分享，與您同行 (4) Learn and share, to take people with you)

Just like in every group, there are people who are technically sound and there are others who are blessed with soft skills such as communication, project and strategic management, etc; and lastly, let’s not forget the newbies. They are ready to learn. Working with introvert newbies can slow things down at first, but you will also learn valuable skills such as mentoring and passing knowledge (hopefully communication too!).

就像在每個小組中一樣，有些人在技術上是健全的，有些人則擁有溝通，項目和戰略管理等軟技能； 最后，讓我們不要忘記新手。 他們準備學習。 剛開始與性格內向的新手合作會減慢速度，但是您還將學到寶貴的技能，例如指導和傳授知識(也希望交流！)。

Even further, it is the bound created through these collaborations and learning which will later be the force making you all go far in the project. When you intend to go far, you must carry people along. They will gain lots of experience and maybe tomorrow, it will be you calling them to help with some task.

更進一步，正是通過這些合作和學習創造的界限，將成為后來推動您在項目中走得更遠的力量。 當您打算走很遠時，您必須攜帶人員。 他們將獲得很多經驗，也許明天，您會打電話給他們幫助完成某些任務。

Taking myself(Joseph Itopa) as an example, my weakness was in data collection and I am not very good at sorting, searching, and merging data. We realized that we must learn fast in other to help the group in collecting data. My strength is more in modeling but through learning data collection skills, our team became better at accomplishing the task and I added a new skill to my portfolio. This is exactly what Omdena hopes to achieve through its collaborators network. Here again, patience, communication and confidence play key roles. Sometimes we need to remind ourselves what the goals of the project are and not take decisions personally. Clear communications of task assignments and collaborations instead of competition are essential to avoiding duplicate work and waste of precious time in a project. In the same way, being humble and just admitting when you need help is crucial to guarantee that tasks don’t get stuck. Finally, the pace on a Data Science project will not always be the same, and you will eventually realize that sometimes we need to overwork ourselves, and in some other weeks things are calmer.

以我自己(Joseph Itopa)為例，我的弱點在于數據收集，而我并不擅長對數據進行排序，搜索和合并。 我們意識到，我們必須快速學習其他知識，以幫助該小組收集數據。 我的專長是建模，但通過學習數據收集技能，我們的團隊在完成任務方面變得更好，并且我在投資組合中增加了新技能。 這正是Omdena希望通過其合作者網絡實現的目標。 同樣，耐心，溝通和信心也起著關鍵作用。 有時我們需要提醒自己項目的目標是什么，而不是親自做決定。 清晰地傳達任務分配和協作而不是競爭，對于避免重復工作和浪費項目中的寶貴時間至關重要。 同樣，保持謙虛并在需要幫助時坦誠相待對于確保任務不會卡住至關重要。 最終，數據科學項目的步伐并不總是相同的，您最終會意識到有時我們需要勞累過度，而在其他幾周中情況會變得平靜。

5)慶祝別人在某些方面做得更好 (5) Celebrate that others are better at something)

Meanwhile, in order to move fast, some highly technically gifted collaborators are also needed in the team, so we can assure that goals can be reached within the set period. Getting used to a collaborative fast pace project can be a challenging task for an introvert, as it involves huge amounts of exchanged messages, conflict of opinions and eventual misunderstandings among participants of a Data Science project.

同時，為了快速行動，團隊中還需要一些技術精湛的合作者，因此我們可以確保在設定的時間內實現目標。 適應快速協作的項目對于內向的人來說可能是一項艱巨的任務，因為它涉及大量交換的消息，意見沖突以及數據科學項目參與者之間的最終誤會。

In conclusion, just like other ambitions, choosing to be a data scientist or engineer will require dedication, sacrifice, and self-discipline.

總之，就像其他雄心勃勃一樣，選擇成為一名數據科學家或工程師將需要奉獻，犧牲和自律。

One way we have practically learn data science is through real-world challenges, which will force you to learn complex concepts such as data mining, wrangling including feature engineering. Also try to put yourself in every collaborator’s shoes and look at the challenge as something that must be solved together. You realized that you have to work hard in some weeks while in others you can relax more.

我們實際學習數據科學的一種方法是應對現實中的挑戰，這將迫使您學習復雜的概念，例如數據挖掘，爭用(包括要素工程)。 另外，嘗試使自己陷入每位合作者的視線中，并將挑戰視為必須共同解決的問題。 您意識到，有些星期您必須努力工作，而另一些星期您可以放松更多。

To the aspiring introvert data scientists, try to go ahead and understand yourself first and what you want to be in this field; develop your communications skills and engage in discussions that will help understand the context of the problem you want to solve; communicate appreciating others; find your transferable skills and celebrate little successes will help you grow above impostor syndrome. Practice positive thinking about yourself and others: you are not a fraud, you are a work in progress.

對于有抱負的內向型數據科學家，請嘗試著先了解自己，并希望自己在該領域中有所作為。 發展您的溝通技巧并進行討論，以幫助您了解要解決的問題的背景； 溝通欣賞他人； 找到您可以轉讓的技能并慶祝成功，這將幫助您超越冒名頂替綜合癥。 對自己和他人進行積極的思考：您不是欺詐，而是正在進行的工作。

Communicate often, appreciate others' perspectives, celebrate little successes, and compare yourself to yourself and not the other person.

經常溝通，欣賞他人的觀點，慶祝成功很少，并與其他人而不是他人進行自我比較。

Impostor syndrome will make you feel like you are not putting in efforts but that’s not true and that’s not you. Every little successful step is an achievement. Learn to work with your team. A good leader will work with any team because she doesn’t always have to lead, all she needs to do is to follow while making decisions based on people’s contributions. To the extroverts out there, remember that every personality and work style should matter. Be empathic and try to cooperate so that everyone in your team feels comfortable being there. For sure this will allow yourself to learn a lot from the introverts and see your workplace grow as a strong and successful family.

Impostor綜合癥會使您感到自己沒有努力，但這不是事實，不是你。 每個成功的小步驟都是一項成就。 學習與團隊合作。 一個好的領導者將與任何團隊一起工作，因為她并不一定總是要領導，她要做的就是跟隨人們，同時根據人們的貢獻做出決策。 對于那些性格外向的人，請記住，每個人格和工作風格都應至關重要。 要有同情心，并嘗試合作，以便團隊中的每個人都感到自在。 當然，這會讓您從內向的人身上學到很多東西，并看到您的工作場所成長為一個強大而成功的家庭。

Enjoy the journey and learning!

享受旅途和學習！

Authored by Joseph Itopa A. and co-authored by Rosana de Oliveira Gomes (Ph.D.). Both authors can be found on linkedin via these links: https://www.linkedin.com/in/Josephitopa/ and https://www.linkedin.com/in/rosanaogomes/ respectively.

由約瑟夫·伊托帕·A。(Joseph Itopa A.)和羅莎娜·德·奧利維拉·戈麥斯(Rosana de Oliveira Gomes)(博士)合著。 可以通過以下鏈接在linkedin上找到兩位作者： https ： //www.linkedin.com/in/Josephitopa/和https://www.linkedin.com/in/rosanaogomes/ 。

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在這里申請。