Data areis essential toin the information age that we live in.

Therefore, the Ddata Sscience 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?

Our guests will share their experience working as Ddata Sscientists and discuss career development with the audience.

Talk iSpeaking Introduction

Data areis essential to the information age that we live in.

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 data science industry as promising as the software development oneis?

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.

Talk iPanel Introduction

We capitalize the first letter of important words in the title.

Data are essential toin the information age thatin which we live in.

Try to avoid ending a sentence with a preposition.

While the sector remains hot, some common questions puzzle thlague workers in this area: does it suffer from any software/hardware limitations?

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.

Our guests will share their experiences working as Data Scientists and discuss career development options with the audience.

Data areis 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.

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?

Whilst the question is grammatically correct, it is a bit vague.

Is the data science industry as promising as the software development oneengineering?

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.

Our guests will share their experiences working as Ddata Sscientists and will also discuss career development with the audience.