Important Data Science FAQs in 2022
In the 21st century, data science has become one of the hottest, most discussed, most developed, and most competitive fields globally. No wonder many people must be curious to know what this discipline is, what its prospects are, how to learn it, and what data scientists do in their day job. How much do they earn, where and how do they find work? This article will discuss the most frequently asked questions about data science in 2022.
The answers to these questions can also be helpful for those interested in career change and those who decide to get their first graduate degree and are looking at data science as a potential career.
Data Science FAQs
Is there a need for a data science job?
With the rapid development of modern technology, data science is currently in great demand, and it will only grow. Type “data science jobs” in Google or search for them on any job search site like LinkedIn, Glassdoor or Indeed.
The amount of data produced around the globe is accumulating rapidly every day. Every business needs data analytics and predictive modelling to survive and operate in today’s highly competitive market. Scientific research can only be conducted if sufficient historical data is collected. In other words, the more data an organization or science contains, the more reliable the predictions are based on the data. Like in any other field, there are different trends in data science at different times of its existence: machine learning, deep learning, data engineering, and big data.
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What does a job in data science typically include?
Data scientists collect and study data relevant to a given scientific or business task and extract meaningful insights and patterns. Using machine learning to create predictive models, they generate reports and communicate their results to non-technical stakeholders. In turn, shareholders can make data-driven strategic decisions to improve business operations.
In particular, they must have sufficient knowledge of coding tools, be familiar with the mathematical principles behind various machine learning algorithms, understand the basics of a specific field’s business, and entities they care about, follow data ethics and have excellent communication skills. To clearly explain complex ideas to non-technical audiences. The above is a complete description of the typical data scientist role. Since the profession is relatively new, different companies may have their definitions of what should the role of a data scientist include.
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For example, in a few cases, data scientists are data analysts who are more focused on investigating historical and current data without predicting future scenarios. Data scientists are expected to use graphical user interface (GUI) applications to create machine learning models in other companies, so they hardly need to script. Finally, data scientists are sometimes thought of as data engineers whose primary job is to transform raw data into a usable form and design and maintain data storage infrastructure.
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How much money do data scientists make?
As with many other industries, the answer to this question is highly dependent on the country where the company is located, i.e. the standard of living. For example, according to PayScale, the average data scientist salary in the US is $97,038 per year, while there is also public demand in India. Jobs amount to ₹860K per year, which equals $11,521.Another critical factor that affects a data scientist’s salary in any country is his level of seniority.
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The salary package of a data scientist also depends on the company’s profile and whether it is small or multinational, the field of intervention (commercial or academic environment) and the type of contract. You can also find information on average salaries for other data-related careers, such as data analyst, data engineer, and data warehouse manager.
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What are the prerequisites for learning data science?
While it is true that for mathematicians, statisticians and programmers, the data science learning process can be smoother and faster, that does not necessarily mean that people with different qualifications are entirely inaccessible to a career in data science.
Indeed, many inspirational success stories of people who entered the field from completely independent professions made rapid progress and are now happily employed.
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However, it is incorrect to say that there are no prerequisites for one to start learning data science. To succeed in your research, you will need to be fascinated by the data and what lies behind it, have an exploratory mindset, a certain amount of creativity and a solid drive to learn science.
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Do I need a college degree to study data science, or can I do it online?
While there’s nothing wrong with earning an undergraduate degree in data science, there’s one crucial thing you should keep in mind: time matters. If you’ve recently graduated from college and decided to continue your education, a well-grounded undergraduate degree in data science can greatly benefit you. If you’re changing careers, you may not want to spend at least two more years on your education before getting hired.
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