A Data Scientist salary can be USD 14,500 when you get 5-9 years expertise

NOIDA, India - Sept. 4, 2020 - PRLog -- As Data scientist jobs are in demand in this technology-driven modern world, there will be a plethora of Data scientist jobs for you in the years to come. Due to the remarkable popularity of data science, there are a plethora of online data scientists' courses that are available today.

According to a new report Global Data Science Platform Market, published by Markets and Markets Research Private Ltd., The Data Science Platform market size is expected to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.0% during the forecast period.

The main reason for a lot of hype is because of the kind of salary which such a job profile fetches. It can fetch you a really good salary. It also provides job security, because nowadays every company needs a data scientist.

I know this is what you must be thinking about. Career prospects in Data science are bright as even an entry-level scientist can earn as high as $7,000 per year. An early career data scientist with 1-4 years of experience earn an average of $8,250 annually. And this can go even to an average of $14,500 per year with 5-9 years of experience.

SkillXS IT Solutions provides the best Data scientist online course that will help to become job-ready. Hence, what are you waiting for? SkillXS IT Solutions is giving you the chance to become a zero to hero level data scientist.

Book your seat: https://www.skillxs.com/course/117/data-scientist

Data is a growing field and it will flourish more in the years to come. It is ranked number 3 best job for 2020 by a Glassdoor and was ranked the number one best job from 2016-2019. Data science is dominantly used to discover the correlations.

Course Outcome:

From this course, you will leverage the following:

• Know basic notions and definitions in data analysis, machine learning
• Know standard methods of data analysis and information retrieval
• Be able to formulate the problem of knowledge extraction as combinations of data filtration, analysis and exploration methods.
• Be able to translate a real-world problem into mathematical terms.
• Possess main definitions of subject field.
• Possess main software and development tools of data scientist.
• Learn to develop complex analytical reasoning.

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