쉐도잉 연습: Data Analyst Interview 2024 | SQL | POWER BI | Data Science | Mock Interview - YouTube로 영어 말하기 배우기

C1
Hey, hi Dipali.
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260 문장
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1
Hey, hi Dipali.
2
Yeah, hello sir.
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Good afternoon.
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Good afternoon.
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I hope you're doing well.
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Yes, I'm good.
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All right.
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So Dipali, I saw your resume and it feels like very much comfortable for this present domain.
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So can you please walk me through your profile?
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Yeah, actually I was working on Power BI as a Power BI developer in my previous company.
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So I have total 4.5 of experience and relevant is a power BI is a two plus of experience.
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And in this company, I was working for two domains like retail domains and rental domains.
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So this both domains are US based.
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So on this projects, my role and responsibilities are to creating the reports
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and publish uh publishing into the power bi services when
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when i was creating a report that time i was working data modeling data cleanings
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and by using tags multiples of text functions ui options
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and bar graphs charts we are using uh both
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and creating a report into power bi desktops
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and after creating we are sharing to the power bi services when i was sharing into the power bi services,
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that time we are creating a dashboards and we set alerts
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and subscription into the dashboards and that's all my daily works and said,
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I was cleaning the data from my data sources.
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I was working on three data sources,
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Snowflake, SQL and SQL data sources.
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Also, I was working three data sources to clean the data from these data sources.
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Okay.
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All my work.
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So, Deepali, tell me what were your challenges while you were working,
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you know, having some activities related to Power BI.
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So what were the daily challenges you faced?
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When I was working daily,
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so that time I was facing data connectivity issues from like refresh modes for a shadow refreshes
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and refreshes in Power BI services.
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So many times I was facing these issues
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and like multiples of DAX functions and as per our client requirements when we are working properly in DAX.
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So in DAX I was facing multiples of issues.
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So how did you handle it and what were the steps?
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Firstly I learned what is the issue.
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Then we will work on these issues where we are searching for Google
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and we are learning for multiples of YouTube and multiples of channels and we handle these issues for my own purpose.
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When I was not solving these issues,
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so I go to the manager and give manager help.
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Alright.
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So Google and YouTube were the primary sources of getting.
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Yeah fine super so you said
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that you were i mean familiar with you know database somewhere sql
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and so yes
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so how would you rate yourself you know on a scale
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of you know one to ten um for data sources yeah uh seven all right fine
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so uh what are the dbms software you are familiar SQL and PostgreSQL,
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Oracle, Snowflake, multiple sub software.
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So did you handle somewhere data cleaning?
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Yes.
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Part of your job.
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Okay.
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So what did you do in the data cleaning part?
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Can you please elaborate on that?
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Yeah, when I was cleaning the data to check the null values,
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duplicates and errors and remove these errors and null values and duplicate values from our data.
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When your data type is is a numeric and your data,
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sorry, actually your data type is a text,
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but your column is a date function.
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So you can assign this for data types.
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So we are facing multiples of issues in our data cleanings.
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Okay.
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So Dipali, let's say I want to delete all the records in a table.
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Okay.
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What command are you going to use?
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We are using the truncate command.
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Because when we are using delete command,
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when we are passing the condition to the delete function,
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we delete the records.
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But truncate is remove all records from our tables.
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Okay, fine.
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Done.
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So are you familiar with somewhere primary key?
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What is the primary key and foreign key?
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Yeah, in our data tables,
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there are like single primary keys,
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like it's a numeric and there is a normal values in your primary keys.
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But when we are going to the like as a learn
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or we are like face to the as a DBA database administrator.
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So we can learn in our table,
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there are multiples of primary keys.
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But we are basically used for only one primary keys at each cell or numeric type and there is no null values.
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Okay.
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So coming back to normalization,
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what do you understand by the term normalization?
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Normalization data sources are totally clean data and it is the process of organizing the data in our databases.
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And it is a redundancy or inconsistency of dependencies in your data databases.
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So is there any type of normalization?
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Yes.
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First NF, second NF, or third NF.
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Okay.
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Done.
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So Dipali, have you come across the term indexing,
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the concept of indexing in SQL?
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Yeah.
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Index is used for the retrieve the data from our data like columns or data.
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We're getting the index for the numbering one, two, three.
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Okay.
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Are you sure on that again?
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Oh, yes.
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Okay.
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Let's say if I want to delete the duplicate rows in a table.
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So what command am I going to use?
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We are using for group by function or having function using to duplicate roles.
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Sure.
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Yes.
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Okay.
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Fine.
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So coming back to the Power BI part.
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So apart from Power BI,
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Have you used Tableau as your data visualization tool?
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Yes.
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Okay.
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So can you brief me something about Tableau?
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Yeah.
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Mostly Tableau users are learned as compared to Power BI and Tableau.
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So Power BI is the best and simple tools we are using and handling this.
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But Tableau, I was personally using the Tableau and personally working in my previous company as a Tableau.
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So like as compare Power BI,
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Tableau is used huge amount of data sources.
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But in Power BI, there are limits for the datasets.
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And in Tableau, we are Tableau,
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they are the same both tools,
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like both are the same tools, Power BI and Tableau.
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But the multiples of functions are different.
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Like in Power BI, we are using DAX functions and in Tableau,
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we are using MDax functions like majors calculated fields we are using in Tableau.
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So which is your favorite chart that you use on Power BI?
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Bar chart, line chart.
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So tell me something about line chart uh
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when uh like a line chart it's a show our data
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like trend wise uh like date time wise we are showing the data into line chart
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so like we have a like one years of data
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and we see our sales of your latest three months like how what is the profit
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and what is the sales of our data so that time we are using line charts.
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So what about pie chart?
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Yeah, pie chart is mostly used for categorize the data.
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We show the content of amount,
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overall total data in the pie chart like percent wise calculations,
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percent wise or total revenue wise profit wise.
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We are seeing pie charts.
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So, okay.
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Coming back to SQL again.
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Okay.
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So, Let's say, can I concate two different data types in SQL?
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If so, if I can concate,
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then how is it possible?
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Yes, by using concatenate functions and operator using functions and operator using two different data types of data into SQL.
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Can you please tell me about the use of views in SQL?
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Yeah, when we create a database and we are using this data.
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So that time we are using function in our SQL to use the databases.
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And in data we using databases.
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So that time we are working on a multiple of operations or functions in SQL databases.
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So do you have any hands-on experience into Excel as well?
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Yeah, I have basic knowledge about this.
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I'm sorry, Excel.
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Suppose in Excel, let's say I have a data set and I want to find out a specific month
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or total number of orders that is placed.
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On a specific month, the total number of orders that is placed.
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So what function am I going to use?
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Counties.
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Counties.
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Okay.
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Super.
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Done.
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Let's say I want to find out the total sales transaction for couple of cities.
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So what I am going to use?
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Some functions.
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Some functions.
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Okay.
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Done.
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So, yeah.
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And one more question.
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So as a data analyst,
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what are the challenges you faced as a data analyst overall?
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Can you give me an overview on that?
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Yeah, when we are working as a Power BI tools for Tableau tools,
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so firstly, we give the data from our data sources.
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So that time I was facing two data connectivity issues from data sources to getting data sources into my tools Power BI.
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So firstly, we are facing multiples of issues for data connectivity.
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And second is like we creating multiples of charts.
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So that time I was using the DAX function.
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So this issue is facing and third is like we are publishing your sharing your reports into the Power BI services.
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So that time gateway issue is a multiple of times we are facing.
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So have you faced, so as you told that you were working in a company,
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so have you faced situation where you have to work with the company and meet the deadlines, tight deadlines.
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In that case, what did you do?
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I suppose, firstly, I was managing my deadline and my work
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and I was fully dedicated and work daily to daily time to time for this work.
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And so in case my work is not done for a deadline,
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so that time I was going to go to the manager and postpone this deadline and I will work on,
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give me a two to three days and I was finished my work.
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Okay.
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So what if the manager regrets,
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I mean, sorry, rejects the deadline?
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So what are you going to do at that time?
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Personally, I was working full day or night on this task and completed this task.
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Alright.
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So don't you think that work-life balance is a must for an employer?
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Yes.
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Okay.
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So coming back to again.
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So where do you see yourself,
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Tipali, in the next five years?
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In a reputed company.
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So I was working as a best designation in my own company.
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Okay.
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So I went through your resume.
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I saw that you are a master in computer science.
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Yes.
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Why not into coding part?
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Why into this Power BI and analysis part?
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Why?
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Actually, I like visualization, designing and creating reports.
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So that's why I was going to the analysis part.
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As compared to coding, coding is so vast and I was working coding for in my graduation and post-graduation days.
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So, as compared to best part is to me for the analysis.
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So Dipali, as you said that you are very much diversified to the work you do and and somewhere Volcaholic again.
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So one more question.
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Okay.
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So if let's say in an emergency,
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okay, I'm telling you to learn a tool and,
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you know, dedicate yourself for the next department that is software testing.
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Okay.
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Yes.
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So how comfortable are you with that?
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Yeah, I'm comfortable with that because in my,
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when I was start my career,
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so that time I was working as a manual tester, junior manual tester.
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Okay.
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So at times of emergency,
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you can assist them as well.
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Yeah.
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Yes, sir.
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Fine.
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Fine.
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Fine.
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Okay.
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So Pan-India relocation is not an issue for you?
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Yes, sir.
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Not an issue.
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Not an issue.
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Fine.
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All right.
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So done.
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I'm done from my end.
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Okay.
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And the HR will get back to you on my feedback.
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Okay.
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Yeah.
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Yeah.
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So have a good day.
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Thank you, Dipali.
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Thank you, sir.
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Okay.
260
Thank you, sir.

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이 수업에서는 데이터 분석가 면접과 관련된 영어 회화 기술을 연습합니다. 특히 SQL과 Power BI에 대한 질문과 대답을 중심으로 영어 스피킹 연습을 통해 비즈니스 관련 영어 능력을 향상시키는 것이 목표입니다. 이 비디오는 실생활 면접 상황을 시뮬레이션하며, 다양한 데이터 소스와 Power BI의 활용을 다루고 있습니다. 여러분은 이 수업을 통해 직장 내 영어 회화 능력을 높이고, 면접에서 자신감을 가질 수 있게 됩니다.

주요 어휘 및 구문

  • Power BI: 데이터 시각화 및 비즈니스 분석 도구
  • SQL: 관계형 데이터베이스 관리에 사용되는 언어
  • 데이터 원본: 데이터를 가져오는 소스
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