Aug. 16, 2022
Data are essential to the information age that we live in. Therefore, the Data Science industry has become a dream workplace for many job seekers in recent years. While the sector remains hot, some common questions puzzle the workers in this area: does it suffer from any software/hardware limitations? Is the tedious data processing work boring? Is the data science industry as promising as the software development one?
To answer those questions, we invite two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talk hosted by XXX. Our guests will share their experience working as Data Scientists and discuss career development with the audience.
Data areis essential toin the information age that we live in.
Data is essential in the information age we live in.
Therefore, the Ddata Sscience industry has become a dream workplace for many job seekers in recent years.
Therefore, the data science industry has become a dream workplace for many job seekers in recent years.
While the sector remains hot, some common questions puzzle the workers in this area: does it suffer from any software/hardware limitations?
While the sector remains hot, some common questions puzzle workers in this area: does it suffer from any software/hardware limitations?
Our guests will share their experience working as Ddata Sscientists and discuss career development with the audience.
Our guests will share their experience working as data scientists and discuss career development with the audience.
Talk iSpeaking Introduction
Speaking Introduction
Data areis essential to the information age that we live in.
Data is essential to the information age that we live in.
Therefore, the Data Science industry has become a dream workplace for many job seekers in recent years.
While the sector remains hot, some common questions continue to puzzle the workers in this area: does it suffer from any software/hardware limitations? While the sector remains hot, some common questions continue to puzzle the workers in this area: does it suffer from any software/hardware limitations?
Is the tedious data processing work boring?
Is the data science industry as promising as the software development oneis?
Is the data science industry as promising as software development is?
To answer those questions, we’ve invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talk hosted by XXX. To answer those questions, we’ve invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talk hosted by XXX.
Our guests will share their experience working as Data Scientists and discuss career development with the audience.
Talk iPanel Introduction
Panel Introduction
We capitalize the first letter of important words in the title.
Data are essential toin the information age thatin which we live in.
Data are essential in the information age in which we live.
Try to avoid ending a sentence with a preposition.
Therefore, the Data Science industry has become a dream workplace for many job seekers in recent years.
While the sector remains hot, some common questions puzzle thlague workers in this area: does it suffer from any software/hardware limitations?
While the sector remains hot, some common questions plague workers in this area: does it suffer from any software/hardware limitations?
Is the tedious data processing work boring?
Is the data science industry as promising as the software development one?
To answer thoese questions, we have invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talkwhich will be hosted by XXX.
To answer these questions, we have invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel which will be hosted by XXX.
Our guests will share their experiences working as Data Scientists and discuss career development options with the audience. Our guests will share their experiences working as Data Scientists and discuss career development options with the audience.
Feedback
Good job!
Talk introduction
Data areis essential to the information age that we live in.
Data is essential to the information age that we live in.
This is a contentious one that people never seem to agree on. Strictly speaking, 'data' is the plural form of 'datum'. However, since you're using it as an abstract mass noun (like 'information', for example), 'data is' just sounds far more natural than 'data are'.
Therefore, the Ddata Sscience industry has become a dream workplaceindustry to work in for many job seekers in recent years.
Therefore, data science has become a dream industry to work in for many job seekers in recent years.
A workplace is more referring to physical office building, etc.
While the sector remains hot, some common questions puzzle the workers in this area: does it suffer from any software/ or hardware limitations?
While the sector remains hot, some common questions puzzle workers in this area: does it suffer from any software or hardware limitations?
Whilst the question is grammatically correct, it is a bit vague.
Is the tedious data processing work boring?
Is the data science industry as promising as the software development oneengineering?
Is data science as promising as software engineering?
To answer thoese questions, we have invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday's panel talk hosted by XXX.
To answer these questions, we have invited two data scientists (XXX from XXX and XXX from XXX) to Thursday's panel talk hosted by XXX.
Our guests will share their experiences working as Ddata Sscientists and will also discuss career development with the audience.
Our guests will share their experiences working as data scientists and will also discuss career development.
Feedback
This was quite well written overall, so most of my suggestions are stylistic. I happen to want to break into data science as well!
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Talk introduction This sentence has been marked as perfect!
We capitalize the first letter of important words in the title.
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Data are essential to the information age that we live in.
Data This is a contentious one that people never seem to agree on. Strictly speaking, 'data' is the plural form of 'datum'. However, since you're using it as an abstract mass noun (like 'information', for example), 'data is' just sounds far more natural than 'data are'.
Data are essential Try to avoid ending a sentence with a preposition.
Data
Data |
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Therefore, the Data Science industry has become a dream workplace for many job seekers in recent years.
Therefore, A workplace is more referring to physical office building, etc. This sentence has been marked as perfect! This sentence has been marked as perfect!
Therefore, the |
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While the sector remains hot, some common questions puzzle the workers in this area: does it suffer from any software/hardware limitations?
While the sector remains hot, some common questions puzzle Whilst the question is grammatically correct, it is a bit vague.
While the sector remains hot, some common questions p While the sector remains hot, some common questions continue to puzzle the workers in this area: does it suffer from any software/hardware limitations? While the sector remains hot, some common questions continue to puzzle the workers in this area: does it suffer from any software/hardware limitations?
While the sector remains hot, some common questions puzzle |
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Is the tedious data processing work boring? This sentence has been marked as perfect! This sentence has been marked as perfect! This sentence has been marked as perfect! |
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Is the data science industry as promising as the software development one?
Is This sentence has been marked as perfect!
Is the data science industry as promising as |
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To answer those questions, we invite two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talk hosted by XXX.
To answer th
To answer th To answer those questions, we’ve invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talk hosted by XXX. To answer those questions, we’ve invited two data scientists (XXX from XXX and XXX from XXX) to our Thursday panel talk hosted by XXX. |
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Our guests will share their experience working as Data Scientists and discuss career development with the audience.
Our guests will share their experiences working as Our guests will share their experiences working as Data Scientists and discuss career development options with the audience. Our guests will share their experiences working as Data Scientists and discuss career development options with the audience. This sentence has been marked as perfect!
Our guests will share their experience working as |
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