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Answer These Questions to Find Out If Data Science Is for

Data science is not a narrow field as it includes a number of sub-divisions, such as artificial intelligence, deep learning, machine learning, predictive analytics, data visualization, transformation, exploration, and preparation, just to name a few. And then there are different levels of competency. If you want to decide if data science is for you, you are on the right page. By answering a few important questions, you can make this decision. Read on to find out more.

2. What does a Data Scientist do?

An experienced data scientist uses the available data to make insightful conclusions. Based on these conclusions, important decisions are made in large organizations and institutions.

The roles of these professionals include data analysis, data visualization, data transformation, and data collection. Apart from this, they also offer their recommendations on the actions that can be implemented on the basis of the data findings.

Also, these professionals work in a number of sectors like entertainment, government, health care, energy, and technology, just to name a few. Some of the big names in the field include Microsoft, Google, amazon, and Twitter.

3. What is the Occupational Outlook for Good Data Scientists?

As far as the job outlook is concerned, know that it is quite positive. According to IBM predictions, there was a 28% rise in the demand for data scientists in 2020. According to a recent study, most of the tech jobs required data science skills in 2020.

4. How much can you make as a Data Scientist?

The amount of money you can make as a data scientist is dependent on the company or organization, job role, experience, and background. As a general rule, you can make between $50,000 and $250,000.

In other words, you can make a handsome amount of money every month. So, as far as salary is concerned, you can make a lot of money serving as a data scientist.

5. How can you get Rready for a Career in this Field?

You need to meet a few important requirements. Some of those requirements are listed below.

  • High quantitative ability
  • A mind that is focused on problem-solving
  • Programming proficiency
  • Effective communication ability
  • Ability to be part of a team

So, you may want to get a bachelor’s degree, preferably in a quantitative discipline. For example, you can pursue a degree in Economics, business, mathematics, engineering, technology, and Science.

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