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Welcome to Our Presentation
London Atil
What is the Outlook for Good
Data Scientists in the
Workplace
As a result of its many sub-divisions, including artificial intelligence, deep
learning, machine learning, predictive analytics, data visualization,
transformation, exploration, and preparation, to mention a few, data
science is not a specialized profession. Additionally, there are several
degrees of expertise.
An expert data scientist uses the information at hand
to draw enlightening findings. Large businesses and
institutions base key choices on these findings.
These experts' responsibilities include data gathering, data
transformation, data analysis, and data visualization. In
addition, they provide suggestions for the activities that
may be taken in light of the data results.
You should be aware that the job outlook is quite
promising. The need for data scientists increased by 28%
in 2020, per IBM forecasts. In 2020, the majority of IT jobs
will require data science expertise, according to a new
survey.
The firm or organization, job title, level of expertise, and
educational background all affect how much money a
data scientist may expect to make. You may often earn
between $50,000 and $250,000 per year.
You may start from wherever you want to learn the
fundamentals of data science. The sheer quantity of
programming languages available need not be
overwhelming. Although it makes sense to be
knowledgeable with a variety of data size tools, we advise
starting with a few computer languages.
In conclusion, we covered 14 significant commonly asked issues for
those interested in data science. Depending on their experiences,
various people may have different paths to data science, but the
answers given in this article can offer some insight to those who are
thinking about pursuing this subject.
Thank You For Your
Time

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London Atil | What is the Outlook for Good Data Scientists in the Workplace

  • 1. Welcome to Our Presentation London Atil
  • 2. What is the Outlook for Good Data Scientists in the Workplace
  • 3. As a result of its many sub-divisions, including artificial intelligence, deep learning, machine learning, predictive analytics, data visualization, transformation, exploration, and preparation, to mention a few, data science is not a specialized profession. Additionally, there are several degrees of expertise.
  • 4. An expert data scientist uses the information at hand to draw enlightening findings. Large businesses and institutions base key choices on these findings.
  • 5. These experts' responsibilities include data gathering, data transformation, data analysis, and data visualization. In addition, they provide suggestions for the activities that may be taken in light of the data results.
  • 6. You should be aware that the job outlook is quite promising. The need for data scientists increased by 28% in 2020, per IBM forecasts. In 2020, the majority of IT jobs will require data science expertise, according to a new survey.
  • 7. The firm or organization, job title, level of expertise, and educational background all affect how much money a data scientist may expect to make. You may often earn between $50,000 and $250,000 per year.
  • 8. You may start from wherever you want to learn the fundamentals of data science. The sheer quantity of programming languages available need not be overwhelming. Although it makes sense to be knowledgeable with a variety of data size tools, we advise starting with a few computer languages.
  • 9. In conclusion, we covered 14 significant commonly asked issues for those interested in data science. Depending on their experiences, various people may have different paths to data science, but the answers given in this article can offer some insight to those who are thinking about pursuing this subject.
  • 10. Thank You For Your Time