Data scientists are frequently expected to ask their own questions about the data, although data analysts may assist teams with already established objectives. To collect and analyze data, a data scientist might spend more time constructing models, employing machine learning, or using complex programming.
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According to Glassdoor, a data scientist earns annually an average salary of $113,396 in the United States and INR 10 Lakh in India as of March 2021. Data scientists and mathematical science occupations are predicted to rise by 31%, while statisticians are expected to grow by 35% from 2019 to 2029, according to the US Bureau of Labor Statistics (BLS).
This is significantly faster than the overall job growth rate of 3.7%. The emergence of big data and its rising importance to corporations and other organizations have been connected to the increased demand.
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Steps To Become a Data Scientist
You can follow the steps below to start your journey as a data scientist:
- Getting a degree or certification: A PG in data science might be your first step to becoming a data scientist. Although it is not obligatory, employers prefer to see some academic credentials to verify that the candidates have the know-how to undertake a data science job. A related bachelor’s degree, on the other hand, can undoubtedly help—study data science, statistics, or computer science to get a head start in the industry.
- Sharpen your skills: Consider taking an online course or enrolling in a relevant Bootcamp if you feel like you could improve some of your complex data abilities.
- Entry Level: Though there are numerous paths to becoming a data scientist, beginning in a relevant entry-level position might be an excellent head start. Look for jobs like data analyst, business intelligence analyst, statistician, or data engineer that require a lot of data. As your knowledge and talents grow, you may be able to work your way up to being a data scientist.
- Interviews: Since data scientist jobs can be very technical, you may be asked both technical and behavioral questions. Prepare for both and rehearse by expressing your response loudly. Having examples from your previous professional or academic experiences on hand will help you appear more confident and competent to interviewers.
Working as a data scientist can be intellectually stimulating, analytically fulfilling, and place you at the cutting edge of technological advancements. As big data becomes more crucial to how firms make choices, data scientists have grown more common and in demand. As a result, always make the ideal decision by bolstering your credibility and academic credentials. With a data science certification degree, you can possibly bag a higher package than others.