Luyện nói tiếng Anh bằng Shadowing qua video: Data Analysis Essentials in Excel

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Suppose you've received a large data set, it's unformatted and messy, and your manager is asking you some questions about it.

Hey, I have some doubts here.

Do you have a second?

So to answer his questions, we'll go over three essential data analysis skills, which are data cleaning, analysis, and data visualization.

So let's get into it.

Here's the Excel file, which you can download for free in the video description.

We need to make a few changes to the data set like suppose we want to merge the first

and the last name into one column we want to go ahead

and change the formatting of the sales persons here

so it's a bit more consistent

and a bunch of other things now the fastest way to do

that is using power query for that we're gonna head over to data

and under the data tab you'll see this get

and transform data area

and just click on from table slash range it should select the whole data set for us

and we'll just hit on okay there

and from here it's gonna load up the power query editor

this is really where we're gonna make all of the data cleaning changes

it's a lot faster than doing it using just excel

so the first step when cleaning data is to remove any duplicates

so under the order id

if there's more than one order id with the same number then it's probably a duplicate

so we can just right click on it

and hit on remove duplicates whenever we make a change it's going to be recorded under applied steps here

so you can always go back or you can even remove it

if you wanted to then for the dates they're currently formatted as numbers you can see over here

that it says whole number under date type so let's go ahead

and click on it and change that to a regular date

and you'll see that

that changes automatically to the normal date format then we said we wanted to merge the first name

and the last name

so select both columns by hitting the ctrl key we have both selected there

and then we just need to go to right click

and we'll go to merge columns from here we want a separator

which is just going to be the space sign for us

and we want to go ahead and call this something like names

and hit on okay and you'll see how we've been able to merge the first name

and the last in just a few clicks

if we keep scrolling through the data another thing

that stands out here is that the units have decimals so

if we're selling an item we should sell it in whole not a portion of it

so let's go ahead and switch this up by going over to transform

and from here you'll find the rounding under number column

and we want to go ahead and change

that to just rounding it up and you can see there

that we have the whole number one final thing

that we want to change is all of these salesperson column where they're not very well formatted

so we can head over to format under the transform ribbon as well

and first we want to go ahead and capitalize just each letter

so the first letter of a word like so

and we also want to trim these spaces

so we can go back under format and just click on trim now that's looking a lot better

now to go back to excel from here we just need to go over to the home tab

and then hit on close and load

and this is going to apply all the changes that we've made

so you can see here that it's created a new tab for us

and this time it has everything cleaned up we have the queries

and connections case we ever want to go back to it we can just right click

and hit on edit but we don't right now

so we'll just close out of

that later in the video we'll look at creating some awesome visuals but before

that let's get into the analysis section where our manager is

asking us some questions about the data hey thanks for cleaning up the data

if you don't mind can you summarize the revenue column

so here he's probably trying to understand what the average revenue is what the minimum

or maximum is and so on

so it's basically this whole revenue column here

now we can do this with individual formulas like the sum the average

and so on but there's a better way to do

that that's by going to the data ribbon

and then you'll find this data analysis option if you don't find

that just go over to right click

and click on customize the ribbon then head under add -ins

and you're going to want to select the analysis tool pack hit on go

and select it from here obviously I already have it for now so I'm just going to click inside of it

once we get this pop -up we want to head to an area called descriptive statistics

which is this one here

and hit on okay this is going to summarize all of our revenue data

so for the input range we want to select all our revenue numbers

so just ctrl shift down there

and then for the output let's say we just want it on top to the to the right here

so let's say i just put it on m2

And then I'm just going to put summary statistics.

That's going to give us all the information we want and hit on OK there.

And you can see that it's created this whole set of statistics from, hey, what's our main revenue?

What's our minimum, our maximum, the total revenue, the count and a ton of other useful data.

Awesome.

Thanks for putting this together.

Can you also show me the breakdown of revenue by salesperson?

We can do this by creating a pivot table

so just go ahead and select inside of the data go over to insert

and just click on pivot tables hit on okay there

and it's going to create a new tab where we can analyze

it then under pivot table fields let me just drag this along

so we can see it better we're gonna want to add the revenue

so that's gonna be over under values

and we're also going to add the salesperson that's gonna be under the rows

and now we have that full breakdown

but as you can see it's not really in order here

100

so we can right click on it go to sort

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and sort largest to smallest

102

and it seems like anna has been the best performer for us thanks for

103

that now for our next marketing campaign we're trying to see

104

if we should target more of a male

105

or female audience do you have a breakdown for

106

that for this we can still use pivot tables

107

so let's go ahead and select this first one ctrl c to copy

108

and just paste it down below with ctrl v

109

and now we're gonna make all the changes

110

so this time instead of the salesperson and the rows we're gonna remove it

111

and let's add the gender in here

112

so we have the sum of revenue maybe we also want to see the units

113

so let's go ahead and drag

114

that in as well based on this you can see

115

that we should probably target females more as they're the bigger part of our audience

116

we can also get the proportion so the percentage here simply by right clicking on it

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and then show values as a percentage of grand total

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so with that you can see that we have 53 percent almost

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that are female relative to around 47

120

that are male this is great thanks a lot for your help awesome

121

we can pretty much get any information on our data using pivot tables

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but there's another ai tool that excel introduced

123

so let's take a look at it we'll head over to the table here under table one

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and this time instead of going to pivot tables

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we're gonna go under the home ribbon all the way to the right where it says analyze data

126

so let's click on that it's basically gonna create a q a box

127

and within it we can ask anything

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so before we did a pivot table to find the revenue by salesperson we can also ask it here

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so revenue by salesperson hit enter there and you can see

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that we get the exact same breakdown so that's an awesome ai tool

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that you might find handy and

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if you want to learn even more about data analysis you can check out our excel for business

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and finance course using the link in the description below

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we won't just go over data analysis though we'll also cover

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formatting best practices shortcuts building awesome visuals dashboards creating large dynamic financial models

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and much more and

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if you get stuck along the way

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you can always ask us the course instructors any questions in the discussions forum and

139

if you want more than just excel

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we also have several other courses on power bi AI financial accounting corporate finance

141

and more if

142

that sounds interesting check out the link in the description below all right back to the video now

143

that we've cleaned up and analyzed the data let's look at how to visualize it

144

and one of the easier ways to do that is using conditional formatting

145

so you can see over here that we have the the breakdown

146

that we did earlier with the revenue by salesperson

147

and suppose we want to visualize these numbers over here a bit better we can go ahead

148

and select them and then just go over to conditional formatting under the home ribbon

149

and then we'll select the data bars let's say we go for a red one over here

150

and you can see how easily we can tell the proportions now

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and just how much anna brought in in revenue another great visual for data analysis is a scatter plot

152

so over here we have the cleaned data set

153

and suppose we want to see if there's a relationship between age

154

and revenue maybe older people tend to spend more money

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so let's go ahead and select both just by clicking on the h here

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and hitting ctrl shift down arrow then we'll go back up

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and for the revenue we want to keep hitting that control key

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so we also have this selected and again ctrl shift down from here we'll go over under insert it.

159

and right in the center here under charts we're gonna want to select the scatter

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so this one right over here to drag this back up just hit ctrl x

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and then scroll up to the top

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and let's say i put it over here to the side with ctrl v

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so it does seem like there's a bit of a trend where the older

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they are the more money they're spending we can look at

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that closer with a trend line just by right clicking

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and going to add trend line it does look upward sloping we can even go ahead

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and add the display equation so that we can see the numbers more precisely

168

so here's the equation and basically what this is telling us is

169

that for every increase of one year in age revenue goes up by around 340 dollars

170

so overall it's fair to say

171

that the older they are the more

172

they're going to spend one final visual we'll look at is a box plot

173

which is great for finding outliers in the data

174

so over here let's suppose

175

that we just take the revenue by hitting ctrl shift down then we're gonna head over under insert again

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and this time under the very center here we're gonna click on

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that and go to the box

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and whisker i realize this is a funny looking chart

179

so let's go over and explain what it's saying

180

so the line right here

181

which is quite small is the median the x is gonna be the average for us then these top

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and bottom parts are the extremes and these two here are the quartiles the first

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and the third quartile and

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if we had any outliers they would be showing us dots up over here

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or down over here just to show you quickly let's say

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i put another zero in here i'm just gonna put a huge number you can see

187

that it starts to show as an outlier there let me go back

188

so you can see this again for more on data analysis check out

189

this video over here going over five awesome data analysis tools

190

or take our excel course over here and i'll catch you in the next one

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Từ vựng và ghi chú luyện nói cho bài học này

Bài luyện nói này dựa trên video “Data Analysis Essentials in Excel”. Những từ được nhắc lại nhiều nhất trong bài: revenue, click, ahead, select, analysis. Video này có 190 câu và 2200 từ để luyện shadowing. Phần lời nói dài 11:51. Người nói nói nhanh, khoảng 186 từ mỗi phút, nên sẽ có nhiều chỗ nối âm và nuốt âm. 89% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất, nên từ vựng dễ theo.

Từ vựng quan trọng trong video

15 từ đáng học trong video, kèm phiên âm và nghĩa:

Từ	Phiên âm	Nghĩa
select động từ	/sɪˈlɛkt/	lựa
format danh từ	/ˈfɔːɹ.mæt/	khổ (sách, giấy, bìa)
column danh từ	/ˈkɒləm/	cột
ribbon danh từ	/ˈɹɪbən/	ruy-băng
merge động từ	/mɝd͡ʒ/	kết hợp, hợp nhất
dragon danh từ	/ˈdɹæɡən/	rồng
insert động từ	/ɪnˈsɝt/	chèn, nhét
analyze động từ	/ˈæn.əˌlaɪz/	phân tích
duplicate động từ	/ˈd(j)uː.plɪˌkeɪt/	nhân bản, sao chép
percentage danh từ	/pə(ɹ)ˈsɛntɪd͡ʒ/	số phần trăm, tỷ lệ phần trăm
chart danh từ	/t͡ʃɑɹt/	biểu đồ, đồ biểu
proportion danh từ	/pɹəˈpɔɹʃən/	tỉ lệ
equation danh từ	/ɪˈkweɪ.ʒən/	phương trình
scroll danh từ	/skɹoʊl/	cuộn, cuốn
conditional danh từ	/kənˈdɪʃ.ə.nəl/	thức điều kiện

Cụm động từ bạn sẽ nghe

Từ	Nghĩa
check out động từ	tính tiền, trả phòng
clean up động từ	quét dọn, quét tước
go back động từ	trở lại
back up động từ	lùi
go up động từ	lên

Phát âm cần chú ý

Người nói dùng 61 dạng rút gọn, ví dụ gonna, we're, we'll. Hãy nói theo dạng ngắn đúng như bạn nghe.

Âm “sh” và “zh”: proportion /pɹəˈpɔɹʃən/, equation /ɪˈkweɪ.ʒən/, conditional /kənˈdɪʃ.ə.nəl/, visualize /ˈvɪʒuəˌlaɪz/, dashboard /ˈdæʃˌboɹd/
Từ dài — đặt trọng âm cho đúng: conditional /kənˈdɪʃ.ə.nəl/, capitalize /ˈkæpətəˌlaɪz/, separator /ˈsɛpəˌɹeɪtəɹ/, visualization /ˌvɪʒ.ʊ.ə.laɪˈzeɪ.ʃən/

Những âm người Việt thường gặp khó:

Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: select /sɪˈlɛkt/, transform /tɹænsˈfɔɹm/, chart /t͡ʃɑɹt/, columns /ˈkɑləmz/, consistent /kənˈsɪs.tənt/
Âm /tʃ/, /dʒ/ và /ʒ/ — tiếng Việt không có, đừng đọc thành “ch” hay “gi”: merge /mɝd͡ʒ/, percentage /pə(ɹ)ˈsɛntɪd͡ʒ/, chart /t͡ʃɑɹt/, equation /ɪˈkweɪ.ʒən/, visualize /ˈvɪʒuəˌlaɪz/
Âm /æ/ — mở miệng rộng hơn âm “e”: format /ˈfɔːɹ.mæt/, dragon /ˈdɹæɡən/, transform /tɹænsˈfɔɹm/, analyze /ˈæn.əˌlaɪz/, dynamic /daɪˈnæm.ɪk/

Cách luyện với video này

Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
Bắt đầu ở tốc độ 0,75×, nói đuổi từng câu, rồi quay lại tốc độ bình thường khi đã quen.
Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như select, format, column.

Phương Pháp Shadowing Là Gì?

Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.

Phương pháp shadowing: đọc hướng dẫn từng bước đầy đủ →

Luyện nói tiếng Anh bằng Shadowing qua video: Data Analysis Essentials in Excel

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Phương Pháp Shadowing Là Gì?