Shadowing-Übung: Data Analyst Interview 2024 | SQL | POWER BI | Data Science | Mock Interview - Englisch Sprechen Lernen mit YouTube

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Hey, hi Dipali.
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Hey, hi Dipali.
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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.
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Thank you, sir.

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In dieser Lektion wirst du die Chance haben, deine englische Aussprache zu verbessern und das Englisch sprechen zu üben. Anhand eines simulierten Vorstellungsgesprächs für die Position eines Datenanalysten wirst du die verwendeten Fachbegriffe und Phrasen kennenlernen. Diese Übung bietet dir nicht nur Einblick in die Welt der Datenanalyse, sondern auch in gängige Kommunikationsstile im Beruf. Dabei wirst du das Englisch Shadowing anwenden, um deinen Sprachfluss und deine Aussprache weiter zu verbessern.

Schlüsselvokabular und -phrasen

  • Power BI - eine Business-Analytics-Lösung von Microsoft
  • Datenmodellierung - der Prozess der Erstellung eines Datenmodells
  • DAX-Funktionen - eine Sprache für die Datenanalyse in Power BI
  • Datensauberkeit - den Prozess der Bereinigung von Daten
  • Dashboards - visuelle Darstellungen von Daten auf einer einzigen Oberfläche
  • Alerts - Benachrichtigungen, die auf festgelegten Bedingungen basieren
  • SQL - Structured Query Language, eine Programmiersprache für Datenbanken
  • Datenschutzprobleme - Herausforderungen bei der Datenverbindung und -aktualisierung

Übungstipps

Um das beste Ergebnis aus dieser Lektion zu ziehen, empfehlen wir dir, das shadowing zu praktizieren. Höre dir die Dialoge im Video mehrere Male an und versuche, die genaue Aussprache und den Tonfall nachzuahmen. Achte darauf, wie der Interviewer und der Bewerber miteinander kommunizieren, insbesondere Abschnitte, in denen technische Begriffe verwendet werden. Dies wird dir helfen, deine Englische Aussprache zu verbessern.

Übe in einem ruhigen Umfeld und sprich laut mit, um deine Stimme und Aussprache zu trainieren. Du kannst eine shadowing site oder eine App verwenden, um deine Stimme aufzunehmen und mit dem Originalaudio zu vergleichen. Wenn du Schwierigkeiten mit bestimmten Phonemen hast, zögere nicht, diese mehrmals zu wiederholen. Dies wird dir helfen, deine Selbstsicherheit beim Englisch sprechen üben zu stärken und sicherzustellen, dass du die richtigen Tonhöhen und Intonationen verwendest.

Nutze auch die Gelegenheit, relevante Fragen und Antworten zu formulieren. Denk daran, dass die Vorbereitung auf solche Gespräche nicht nur für die aktive Teilnahme, sondern auch für das Selbstbewusstsein beim Sprechen entscheidend ist. Viel Spaß beim Üben!

Was ist die Shadowing-Technik?

Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.

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