五分鐘讓矽谷獵頭找到你(上)
經常有粉絲請我幫忙介紹矽谷工作,第一件事情我不是請他們寄履歷給我,而是請他們傳給我他們的Linkedin連結,因為在美國,越來越多獵頭只用Linkedin找候選人,先看Linkedin背景、直接拿Linkedin連結給面試官們,我還遇過連面試都完了,最後要給offer純粹是為了建檔才跟我要履歷的。
不過,要怎麼樣在獵頭在Linkedin上找到你,最簡單第一步是你名字下面的標題,那裡寫的不是你是誰,而是讓獵頭找到你的搜尋關鍵字,以及吸引他們聯絡你的專業摘要。
你的Linkedin標題是獵頭搜尋的關鍵字!
想想,如果你現在的工作是「某某小公司專案經理」,可是你想找的工作是「科技業行銷經理」,那獵頭一用關鍵字搜尋,根本找不到你,就算找到,一看到你的標題,大概也直接跳過,而且你的「某某小公司」公司名稱,如果不是像臉書谷歌這樣的公司,獵頭也不會搜尋你公司名字。
所以,標題到底要寫什麼呢?標題要寫你要找的工作的關鍵字,包括職稱、產業、專業技能。當然,這些一定要是你曾經有過的職稱、待過的產業、會的專業。
重點不是你做過,是「你要找的!」
1. 職稱:
✅ 軟體產品經理:Product Manager最常見。其他還有Product Owner, Product Specialist, Technical Product Manager等。
✅ 專案經理:Program Manager最常見。其他還有Project Manager, Scrum Master, Technical Program Manager等。
✅ 軟體設計師:UX/UI Designer最常見。其他還有Product Designer, Visual Designer等。
✅ 軟體工程師:Software Engineer最常見。其他還有Tech Lead, Front-end Engineer, Back-end Engineer, Engineer Manager, Machine Learning Engineer等。
✅ 數據分析師:Analyst最常見。其他還有Web Analytics Manager, Product Analyst, Marketing Analyst, Data Scientist等。
✅ 數據工程師:Data Engineer
✅ 行銷經理:Marketing Manager最常見。其他還有Product Marketing Manager, Search Marketing Manager, Media Buyer, Social Media Manager, Email Marketing Manager等。
2. 產業:看你工作或實習的公司是什麼產業
✅eCommerce, Retail, Technology, Software, Hardware, Consumer Electronics, Healthcare, Fitness/Wellness, Fashion, Insurance, Transportation, Fin-tech, Automobile, Hospitality, Gaming, Media, Food, Food Service, Semiconductor 等。
3. 技能:
這個部分很多,我稍稍舉幾個例子,但你可以依照你的背景做調整。
✅ 軟體產品經理:Product Management, Roadmap Planning, Software Development, A/B Testing, App
✅ 專案經理:Agile-Certified, Scum Master, Agile Software Development
✅ 軟體設計師:Content Strategy, Prototype, Animation, Motion Design, User Testing, Invision, Illustration
✅ 軟體工程師:Python, JavaScript, NodeJS, Java, AI, AR, VR, Computer Science
✅ 數據分析師:Big Data, SPSS, SAS, Tableau, SQL, Modeling, R
✅ 行銷經理:SEO, PPC, Programmatic Advertising, Content Marketing
好啦,全部加起來,舉個例子👇
背景:在學校學過電商,在Amazon實習擔任過行銷經理,現任電子公司專案經理,上過谷歌搜尋引擎優化課程。
想找的職缺:矽谷科技公司行銷經理
❓修改前標題:大大電子公司專員 積極找工作中
✅修改後標題:Search Marketing Manager | Google SEO Certified|Technology Industry |eCommerce|Social Media Marketing|Amazon Intern
五分鐘改完,搞定!
快改好你的標題,加阿雅為好友吧(順便幫我的技能按讚喔)!https://www.linkedin.com/in/anyacheng/
Medium 好讀版👇
https://bit.ly/3aeREx0
5分鐘讓矽谷獵頭找到你(下)
https://www.facebook.com/304518923226308/posts/1104508256560700/?d=n
同時也有8部Youtube影片,追蹤數超過12萬的網紅prasertcbs,也在其Youtube影片中提到,ขั้นตอนการติดตั้ง Jupyter Lab 01:36 การสร้าง environment ใหม่ด้วย conda ด้วยคำสั่ง conda create -n tutorial python=3.6 02:54 ติดตั้ง Jupyter Lab ด้วยค...
「python /r /n」的推薦目錄:
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python /r /n 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳貼文
ในวิชา "วิทยาการคำนวณ" ระดับชั้น ม. 5
ได้ดึงวิชา data science (วิทยาศาสตร์ข้อมูล)
มาปูพื้นฐานให้เด็กๆ ได้เรียนกันแล้ว นับว่าเป็นโชคดี
เพราะวิชาพวกนี้เป็นของสูง กว่าจะสัมผัสก็คงตอนป.ตรี โท เอก
...Continue ReadingIn the subject of ′′ Calculation Theology ′′ class. 5
Pulled data science (data science)
Let's master the foundation for kids to learn. It's considered lucky.
Because these subjects are high to touch. It's probably in the middle of the year. Tri To Aek
Which I will review the content to read roughly. The content is divided into 4 chapters.
.
👉 ++++ Chapter 1-Information is valuable +++++
.
Data science in the textbook. Used by Thai name as ′′ Information Science ′′
This chapter will mention Big Data or big data with lots of valuable information.
And so much role in this 4.0 s both public and private sector.
.
If you can't imagine when you played Google search network, you'll find a lot of information that you can use in our business. This is why data science plays a very important role.
.
It's not surprising that it makes the Data Scientist s' career (British name data scientist) play the most important role and charming and interesting profession of the 21th century.
.
Data science, if in the book, he defines it
′′ Study of the process, method or technique to process enormous amounts of data to process to obtain knowledge, understand phenomena, or interpret prediction or prediction, find out patterns or trends from information.
and can be analysed to advise the right choice or take decision for maximum benefit
.
For Data science work, he will have the following steps.
- Questioning my own interest.
- Collect information.
- Data Survey
- Data Analysis (analyze the data)
- Communication and Results Visualization (Communicate and visualize the results)
.
🤔 Also he talks about design thinking... but what is it?
Must say the job of a data scientist
It doesn't end just taking the data we analyzed.
Let's show people how to understand.
.
The application design process is still required.
To use data from our analytics
The word design thinking is the idea. The more good designer it is.
Which Data Scientists Should Have To Design Final Applications
Will meet user demand
.
👉 ++++ Chapter 2 Collection and Exploration +++++
.
This chapter is just going to base.
2.1 Collection of data
In this chapter, I will talk about information that is a virtual thing.
We need to use this internet.
2.2 Data preparation (data preparation)
Content will be available.
- Data Cleaning (data cleansing)
- Data Transformation (data transformation)
In the university. 5 is not much but if in college level, you will find advanced technique like PCA.
- Info Link (combining data)
2.3 Data Exploration (data exploration)
Speaking of using graphs, let's explore the information e
Histogram graph. Box plot diagram (box plot). Distributed diagram (scatter plot)
With an example of programming, pulls out the plot to graph from csv (or xls) file.
2.4 Personal Information
For this topic, if a data scientist is implementing personal data, it must be kept secret.
.
Where the issues of personal information are now available. Personal Data Protection is Done
.
.
👉 ++++ Chapter 3 Data Analysis ++++
.
Divided into 2 parts:
.
3.1 descriptive analysis (descriptive analytics)
Analyzing using the numbers we've studied since
- Proportion or percentage
- Medium measurement of data, average, popular base.
Correlation (Correlation) relationship with programming is easy.
.
.
3.2 predictive analysis (predictive analytics)
.
- numeric prediction is discussed. (numeric prediction)
- Speaking of technique linear regression, a straight line equation that will predict future information.
Including sum of squared errors
Let's see if the straight line graph is fit with the information. (with programming samples)
- Finally mentioned K-NN (K-Nearest Neighbors: K-NN) is the closest way to finding K-N-Neighborhood for classification (Category)
*** Note *****
linear regression กับ K-NN
This is also an algorithm. One of the machine learning (machine learning, one branch of AI)
Kids in the middle of the day, I get to study.
.
.
👉 +++ Chapter 4 Making information pictured and communicating with information +++
.
This chapter doesn't matter much. Think about the scientist after analyzing what data is done. The end is showing it to other people by doing data visualization. (Better summoning)
.
In contents, it's for example using a stick chart, line chart, circular chart, distribution plan.
.
The last thing I can't do is tell a story from information (data story telling) with a message. Be careful when you present information.
.
.
.
*** this note ***
😗 Program language which textbooks mentioned and for example.
It's also python and R language
.
For R language, many people may not be familiar.
The IT graduate may be more familiar with Python.
But anyone from the record line will surely be familiar.
Because R language is very popular in statistical line
And it can be used in data science. Easy and popular. Python
.
But if people from data science move to another line of AI
It's deep learning (deep learning)
Python will be popular with eating.
.
.
#########
😓 Ending. Even I wrote a review myself, I still feel that.
- The university. 5 is it going to be hard? Can a child imagine? What did she do?
- Or was it right that I packed this course into Big Data era?
You can comment.
.
But for sure, both parents and teachers are tired.
Because it's a new content. It's real.
Keep fighting. Thai kids 4.0
.
Note in the review section of the university's textbook. 4 There will be 3 chapters. Read at.
https://www.facebook.com/programmerthai/photos/a.1406027003020480/2403432436613260/?type=3&theater
.
++++++++++++++++++++
Before leaving, let's ask for publicity.
++++++++++++++++++++
Recommend the book ′′ Artificial Intelligence (AI) is not difficult ′′
It can be understood by the number. End of book 1 (Thai language content)
Best seller ranked
In the MEB computer book category.
.
The contents will describe Artificial Intelligence (A) in view of the number. The end.
Without a code of dizzy
With colorful illustrations to see, easy to read.
.
If you are interested, you can order.
👉 https://www.mebmarket.com/web/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjEwODI0NiI7fQ&fbclid=IwAR11zxJea0OnJy5tbfIlSxo4UQmsemh_8TuBF0ddjJQzzliMFFoFz1AtTo4
.
Personal like the book. You can see this link.
👉 https://www.dropbox.com/s/fg8l38hc0k9b0md/chapter_example.pdf?dl=0
.
Sorry, paper book. I don't have it yet. Sorry.
.
✍ Written by Thai programmer thai progammerTranslated
python /r /n 在 prasertcbs Youtube 的最佳貼文
ขั้นตอนการติดตั้ง Jupyter Lab
01:36 การสร้าง environment ใหม่ด้วย conda ด้วยคำสั่ง conda create -n tutorial python=3.6
02:54 ติดตั้ง Jupyter Lab ด้วยคำสั่ง conda install -c conda-forge jupyterlab
03:33 สร้าง directory สำหรับเก็บ Jupyter notebook
03:50 start Jupyter Lab
เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
playlist สอน Jupyter Lab ► https://www.youtube.com/playlist?list=PLoTScYm9O0GEour5CiwfSnoutg3RyA76O
playlist สอน Jupyter Notebook ► https://www.youtube.com/playlist?list=PLoTScYm9O0GErrygsfQtDtBT4CloRkiDx
playlist สอน Python สำหรับ data science ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFVfRk_MmZt0vQXNIi36LUz
playlist สอน Numpy ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFNEpzsCBEnkUwgAwOu_PWw
playlist สอน matplotlib ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGRvUsTmO8MQUkIuM1thTCf
playlist สอน seaborn ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGC9QvLlrQGvMYatTjnOUwR
playlist สอนภาษาไพธอน Python เบื้องต้น ► https://www.youtube.com/playlist?list=PLoTScYm9O0GH4YQs9t4tf2RIYolHt_YwW
playlist สอนภาษาไพธอน Python OOP ► https://www.youtube.com/playlist?list=PLoTScYm9O0GEIZzlTKPUiOqkewkWmwadW
playlist สอน Python 3 GUI ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFB1Y3cCmb9aPD5xRB1T11y
playlist สอนการใช้งานโปรแกรม R: https://www.youtube.com/playlist?list=PLoTScYm9O0GGSiUGzdWbjxIkZqEO-O6qZ
playlist สอนภาษา R เบื้องต้น ► https://www.youtube.com/playlist?list=PLoTScYm9O0GF6qjrRuZFSHdnBXD2KVIC
#JupyterLab #JupyterNotebook #ipython_notebook
![post-title](https://i.ytimg.com/vi/TAZluNvUgds/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLBJfBAU4G95YVHybFPLJet70oYGLA)
python /r /n 在 prasertcbs Youtube 的最佳解答
การใช้ head(n) เพื่อแสดงจำนวนแถวโดยนับจากแถวบนใน DataFrame เช่น ต้องการแสดง 10 แถวแรก
การใช้ tail(n) เพื่อแสดงจำนวนแถวโดยนับจากแถวช้างล่างใน DataFrame เช่น ต้องการแสดง 10 แถวสุดท้าย
การใช้ sample(n) เพื่อเลือกแถวอย่างสุ่มมาแสดง
ดาวน์โหลด Jupyter Notebook ที่ใช้ในคลิปได้ที่: https://goo.gl/yUoJ2e
เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
playlist สอน Python สำหรับ data science ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFVfRk_MmZt0vQXNIi36LUz
playlist สอน Jupyter Notebook ► https://www.youtube.com/watch?v=f3CLdRl-zyQ&list=PLoTScYm9O0GErrygsfQtDtBT4CloRkiDx
playlist สอนภาษาไพธอน Python เบื้องต้น ► https://www.youtube.com/watch?v=DI7eca5Kzdc&list=PLoTScYm9O0GH4YQs9t4tf2RIYolHt_YwW
playlist สอนภาษาไพธอน Python การเขียนโปรแกรมเชิงวัตถุ (OOP: Object-Oriented Programming) ► https://www.youtube.com/watch?v=4bVBSluxJNI&list=PLoTScYm9O0GF_wbU-7layLaSuHjzhIRc9
playlist สอน Python 3 GUI ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFB1Y3cCmb9aPD5xRB1T11y
playlist สอนการใช้งานโปรแกรม R: https://www.youtube.com/watch?v=UaEtZ5XzVeE&list=PLoTScYm9O0GGSiUGzdWbjxIkZqEO-O6qZ
playlist สอนการเขียนโปรแกรมภาษา R: https://www.youtube.com/playlist?list=PLoTScYm9O0GF6qjrRuZFSHdnBXD2KVICp
![post-title](https://i.ytimg.com/vi/7d-I9v2iO1k/hqdefault.jpg)
python /r /n 在 prasertcbs Youtube 的最佳貼文
ดาวน์โหลดโค้ดได้ที่ ► https://goo.gl/QWRnd4 และ https://goo.gl/CHmsHd
เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
playlist สอนภาษาไพธอน Python เบื้องต้น ► https://www.youtube.com/watch?v=DI7eca5Kzdc&list=PLoTScYm9O0GH4YQs9t4tf2RIYolHt_YwW
playlist สอนภาษาไพธอน Python การเขียนโปรแกรมเชิงวัตถุ (OOP: Object-Oriented Programming) ► https://www.youtube.com/watch?v=4bVBSluxJNI&list=PLoTScYm9O0GF_wbU-7layLaSuHjzhIRc9
playlist สอนภาษา C++ เบื้องต้น ► https://www.youtube.com/watch?v=_NHyJBIxc40&list=PLoTScYm9O0GEfZwqM2KyCBcPTVsc6cU_i
playlist สอนภาษา C เบื้องต้น ► https://www.youtube.com/watch?v=Z_u8Nh_Zlqc&list=PLoTScYm9O0GHHgz0S1tSyIl7vkG0y105z
playlist สอนภาษา C# เบื้องต้น ► https://www.youtube.com/watch?v=hhl49jwOIZI&list=PLoTScYm9O0GE4trr-XPozJRwaY7V9hx8K
playlist สอนภาษาจาวา Java เบื้องต้น ► https://www.youtube.com/watch?v=O3rW9JvADfU&list=PLoTScYm9O0GF26yW0zVc2rzjkygafsILN
playlist สอนการทำ Unit Test ภาษาจาวา Java ► https://www.youtube.com/watch?v=R11yg8hKApU&list=PLoTScYm9O0GHiK3KNdH_PrNB0G3-kb1Bi
playlist สอนภาษา R เบื้องต้น ► https://www.youtube.com/watch?v=oy4qViQLXsI&list=PLoTScYm9O0GF6qjrRuZFSHdnBXD2KVICp
playlist สอนภาษา PHP เบื้องต้น ► https://www.youtube.com/watch?v=zlRDiXjYVo4&list=PLoTScYm9O0GH_6LARFxozL_viEsXV2wgO
![post-title](https://i.ytimg.com/vi/mC9BM5TAe_U/hqdefault.jpg)
python /r /n 在 windows - Difference between '\n' and '\r\n' 的推薦與評價
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python /r /n 在 Difference between \n and \r\n in python - Stack Overflow 的推薦與評價
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