Module $11$ Open Discussion: Citizen Data Scientists

Data Science and Analytics skills are being highly demanded in companies.

However not all managers can $($or should$)$ be data science$/$analytics experts.

Gartner Research $$ coined the term 'Citizen Data Scientists' to describe a

balanced combination of business and analytical skills. Please read the following

article published in Forbes magazine titled "Citizen Data Scientists: The new

Drivers of Transformation" darr and share your thoughts with other students.

The goal of this Discussion Forum is to exchange ideas about the importance of

developing quantitative skills, reflect on what is your ideal combination of skills,

and help you define a path to become a Citizen Data Science if that is your

goal. Please make sure to reply to at least three comments that were already

posted by other students. The quality of your posts and responses will count

toward your participation grade and will be graded using the rubric shown

below

Below are some ideas of topics that you may decide to address:

Why are companies turning to 'Citizen Data Scientists' to complement their

Data Science & Analytics experts?

What skills does a Citizen Data Scientist should have?

How would becoming a Citizen Data Scientist improve your own career

opportunities?

How would a Citizen Data Scientist apply its skills in the business major $/$

field that you have chosen or may chose for your professional career?

In a $1-10$ scale where $10$ represents Citizen Data Scientist skills as described

in the article, and $1$ represent no Citizen Data Scientist skills at all, how

would you rate yourself? What skills are you missing?

How could you develop the skills that are needed to become a Citizen Data

Scientist?

How should companies attract, develop and retain Citizen Data Scientists?