跟讀練習: FREE Data Analyst Bootcamp!! - 通過影片學習英語口語

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Hello everybody and welcome to the Alex the Analyst Data Analyst Bootcamp.
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This is the first video in the entire playlist, so if you are watching this and you have no idea what's going on,
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congratulations, you just unwittingly signed up for a Data Analyst Bootcamp.
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No, I'm just joking, but I'm also being very serious.
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So before we progress into a lot of the details of this
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Data Analytics Bootcamp, which is completely free on my channel, I am going to tell you about how this came to be.
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About three weeks ago, I put out this post and I'll I'll put it somewhere on the screen.
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And basically it was a bit of satire.
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I was mostly kind of poking fun at boot camps just
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because they put stuff together and they call it a boot camp and they charge you a ton of money.
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So I was like, I should start one for free.
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The response was just enormous.
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I had like 12 ,000 people who liked it and commented on it and shared it on all different places.
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And people were like, no, Alex, you really need to do this.
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So really quickly, I'm just gonna read what I put on LinkedIn
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and then we're gonna dive into the actual data analyst boot camp.
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So what I wrote was, I should set up a playlist called Data Analyst Bootcamp on my YouTube channel.
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They'll walk you through all the basics of SQL, Excel, Tableau, Power BI, Python,
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and more, all accompanied by projects and a way to create a portfolio website for free.
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Once you're done with the Data Analyst Bootcamp, you can go on my GitHub and download the certification for free.
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Then you can put
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Data Analyst Bootcamp on your resume in your experience section.
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Now, if you don't know me, I really like satire.
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And so again, that was a bit satirical.
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I was just kind of poking fun, but everyone was like, no, Alex, you need to actually do this.
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This is a fantastic idea.
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So here we are.
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I created a completely free data analyst bootcamp on my YouTube channel.
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I'm gonna show you what it looks like.
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I'm gonna walk you through it and how you can get that certification at the end.
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All right, so let's take a look at the data analyst bootcamp.
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I was not being serious about calling it the Alex the analyst data analyst bootcamp.
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That is just, that's insane.
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So right here, we have our data analyst bootcamp.
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It is private right now, but when I release this video, I'll make it public so everybody can see it.
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But let's take a look at what's actually in it.
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So at the very beginning, we have this video, how to become a data analyst in 2023.
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This will actually be the second video.
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If you're watching this video right now, this will be above it.
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But the very first like real video is just this how to become a data analyst.
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And I walk through exactly the steps I would take.
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Now in this bootcamp is basically going to mimic this.
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It's going to be teaching all the things that I tell you in that video.
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So we start off with things like SQL.
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Now this is right now, all of this SQL basics, all the way through SQL Intermediate and the more advanced,
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like right here, that is all in Microsoft SQL Server.
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I'm gonna be making an entire playlist for MySQL because that has been highly recommended so that everybody can do MySQL.
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So MySQL is on the way and I'll eventually replace this.
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But as for right now, it's all in Microsoft SQL Server.
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Then if we scroll down, we have projects to accompany this.
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So we have the Data Analyst Portfolio Project, which is SQL Data Exploration.
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Then we have a Data Cleaning Project.
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So two projects, data exploration and data cleaning, ones that I highly recommend taking.
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Then next, we dive into Excel.
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So this is all for data analysts, right?
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So this is our entire
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Excel series, all the way down to our full project in Excel.
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Then we go on to Tableau.
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So how to install Tableau, all the way down to a full project.
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Then Power BI, how to install it, all the things you need to know, all the way down to a full project.
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And then we dive into Python.
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So we have our whole
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Python series, all the way down to, and you guessed it, a full project.
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Now I am at the very beginning of this Python series.
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This is just the Python basics with the first project, but I have two other projects.
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Then I have an entire Pandas playlist, and then I'm gonna be making a playlist on regular expression,
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web scraping, and a ton of other things that'll also add to this bootcamp.
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So it's gonna get longer the more stuff I put out.
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After that, I have some other projects, not just ones like that, but I have a web scraping project using
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Python, API polls using
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Python for like web scraping from different sites.
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Then near the very end, we have some other important ones.
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Ones like how to create a portfolio website for free,
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which is taking all those projects that we've done throughout this entire bootcamp and putting it into a free website.
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And then we have creating a data analyst resume.
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I need to update this because this is about two years old and I'm gonna create a new one for this.
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So in the future, I will replace this, but as of right now, that's the one that we have.
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And then at the very job, it's tips on how to land a job using LinkedIn in.
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These are real tips and real methods
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that I would be using to help you find a job once you're ready to start applying
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and you have all of this created.
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There's one last video at the very end that you cannot see, which is going to be how to get the certification.
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So I'm not just going to go put it out there for anyone to just grab and put on their resume.
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You have to actually put in the work, right?
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You have to actually take these lessons and learn the information before you get the certification.
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That's how it works.
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Now, I'm not going to show you where this is because it's very secret, but I am going to show you what it looks like.
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Now this says, congratulations, you've completed this data analyst bootcamp.
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You did amazing and you deserve a certification or something to go along with it.
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Just so you know, we use the honor system here, okay?
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If you took it, I'm just gonna trust that you took it.
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I'm not verifying any of this.
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And I have a small disclaimer at the bottom, basically saying this is all a self -paced data analyst bootcamp completely for free.
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So this isn't me endorsing you in any way, just some legal disclaimer.
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I don't even know if that's necessary.
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But let's take a look right here.
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This one's more of the generic one, verified data analytics bootcamp certificate.
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But the other one is the one that I think is personally very good
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and we may not even be able to see it that well, but it is a certificate of completion.
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This certificate is awarded to, and you'll fill in your name right here.
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You'll download this and you'll like fill in your name and however you wanna do that.
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I do it in like Word.
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For a successful completion of data analytics bootcamp, and here I have, I signed it myself because I believe in you.
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I believe that you wouldn't tarnish my good name.
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So this is gonna be how you do that, how you look at it, how you actually download that certification,
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but you will only be able to see that in the very last video.
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So that is the Alex Analyst Data Analyst Bootcamp.
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I'm actually really excited about this.
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And one of the best parts for me is I didn't have to do that much additional work.
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It was already all there.
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All those courses, all those tutorials, all those projects are all already on my channel.
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I've just kind of organized them so that you don't have to go and try to figure it out yourself.
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So I genuinely hope that this helps somebody out there land a job
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and learn these skills completely for free because data analytics should not be expensive, especially the beginner stuff.
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It should just be all available in my opinion.
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I don't think we should be charging for basic stuff like this.
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So good luck, happy learning.
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And when you are done and you download that certification,
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just tag me on LinkedIn or Instagram or Twitter or wherever and I'll be sure to like it.
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So with that being said, good luck.

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本課的詞彙與口語要點

這節口語課以影片“FREE Data Analyst Bootcamp!!”為素材。 影片中反覆出現的詞有:analyst, bootcamp, project, Sql, Python。 這段影片共有 120 個句子、1511 個單詞可供跟讀。 講話部分時長為 6:40。 說話人語速較快,每分鐘約 227 個詞,會出現較多連讀和弱讀。 83% 的單詞屬於英語最常用的 3,000 詞,其餘的詞建議在練習前先學一下。

影片中的重點詞彙

影片中 15 個值得學習的單詞,附發音和釋義:

單詞發音釋義
certification 名詞/ˌsɜː.tɪ.fɪˈkeɪ.ʃən/認證 /認證
playlist 名詞/ˈpleɪˌlɪst/播放列表, 歌單 /歌單
analytics 名詞/ˌæn.əˈlɪt.ɪks/分析學 /分析學
certificate 名詞/səˈtɪf.ɪ.kɪt/證書 /證書, 證明 /證明
boot 名詞/but/靴子, 長靴 /長靴
dive 動詞/daɪv/潛水 /潛水
resume 動詞/ˈɹɛz.ə.meɪ/恢復 /恢復, 重新開始 /重新開始
congratulations/kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/恭喜, 恭喜恭喜
exploration 名詞/ˌɛkspləˈɹeɪʃən/勘探, 勘察
install 動詞/ɪnˈstɔl/安裝 /安裝
verify 動詞/ˈvɛɹɪfaɪ/校驗 /校驗, 驗證 /驗證
accompany 動詞/əˈkʌm.pə.ni/陪伴, 陪同
satire 名詞/ˈsætaɪɹ/諷刺 /諷刺
poke 動詞/poʊk/戳, 捅
lesson 名詞/ˈlɛs.ən/課業 /課業, -課 /-課

值得反覆跟讀的句子

影片中簡短而完整的句子,可以直接用在日常對話裡:

  • I'm gonna show you what it looks like.
  • I'm not verifying any of this.
  • I don't even know if that's necessary.
  • I believe that you wouldn't tarnish my good name.
  • I'm actually really excited about this.

影片中的語法

說話人最常用的結構,並附上影片中的原話:

結構影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事has been · we've done · you've completed
定語從句 who / which + 從句 — 補充說明人或事物Bootcamp, which is · people who liked · Project, which is
被動語態 be + 過去分詞 — 強調發生了什麼,而不是誰做的is awarded · being said

需要注意的發音

說話人用了 48 次縮略和弱讀形式,例如 I'm, gonna, I'll。請按聽到的簡短形式來說。

  • “sh” 和 “zh” 音: certification /ˌsɜː.tɪ.fɪˈkeɪ.ʃən/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, completion /kəmˈpliː.ʃən/, exploration /ˌɛkspləˈɹeɪʃən/, tarnish /ˈtɑɹnɪʃ/
  • 長單詞——注意重音位置: certification /ˌsɜː.tɪ.fɪˈkeɪ.ʃən/, analytics /ˌæn.əˈlɪt.ɪks/, certificate /səˈtɪf.ɪ.kɪt/, portfolio /pɔːtˈfəʊ.liˌəʊ/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/

中文母語者容易讀錯的音:

  • /v/ — 不要讀成 /w/,上齒輕觸下唇: dive /daɪv/, verify /ˈvɛɹɪfaɪ/, wherever /(h)wɛɹˈɛvɚ/
  • 詞尾子音 — 要讀清楚,後面不要加母音: analyst /ˈænəlɪst/, playlist /ˈpleɪˌlɪst/, analytics /ˌæn.əˈlɪt.ɪks/, certificate /səˈtɪf.ɪ.kɪt/, boot /but/
  • /r/ 和 /l/ 的區別: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, exploration /ˌɛkspləˈɹeɪʃən/, scroll /skɹoʊl/, tutorial /ˌtjuːˈtɔːɹɪəl/, satirical /səˈtɪɹɪkəl/

如何用這段影片練習

  1. 先完整聽一遍影片,不要開口,記下不認識的單詞。
  2. 先用 0.75 倍速逐句跟讀,熟練之後再回到正常速度。
  3. 錄下自己的聲音並與原聲對比,特別注意 certification, playlist, analytics 這類單詞。

什麼是跟讀法?

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧,最初開發用於專業口譯員的培訓,並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大:您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同,跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性,語調,節奏,連讀,聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →