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How Long Does It Take To Become A Vet Tech – Glassdoor has ranked data scientists at the top of its “Best Jobs in America” list for 5 years in a row. But how long does it take to become a data scientist?
Many people are familiar with the 2012 Harvard Business Review article that called the data scientist profession “the sexiest job in America,” but some may wonder if the appeal holds. The demand certainly continues – Glassdoor has ranked data scientists in the top 3 of the “Best Jobs in America” list for 5 years in a row.
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This should come as no surprise to anyone aware of data trends. The explosive growth of data-driven decision-making and the rise of low-cost and high-capacity computing have led to a greater demand for data scientists than HBR predicted in 2012, resulting in a shortage of data professionals.
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Although demand for data scientists is high and salaries are high – according to Glassdoor the average data scientist salary starts at $114,528. If you’re wondering, “How long does it take to become a data scientist?” The answer may not take as long as you think.
“How long does it take to become a data scientist?” Let’s look at some facts about this profession to answer the question.
Data scientists are a very diverse group of people, and their skills will vary from job to job. That said, there are some universal skills that every data scientist should learn.
What is data science? It is a discipline that analyzes data to solve problems and inform business decisions.
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A data scientist’s primary job is to take the real world concept, use scientific methods, methods, algorithms, and computational methods, and then produce knowledge and ideas. Machine learning and the ability to develop predictive models are some of the primary things that separate data scientists from data analysts.
There are many data science languages out there, and most data scientists will be proficient in several. Some of the most popular tools of the program include:
If a data scientist wants to get meaningful insights into their company’s struggles and opportunities, they need math skills. The latter is what it takes to transform real world situations into solvable problems. Mathematics will play an important role in not only presenting answerable questions, but also explaining the results your algorithm provides.
You don’t have to be a math professor to be a data scientist. You need a solid foundation in the following situations:
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Data analysts can crunch numbers, IT professionals can code, but applying technical skills to solve business problems sets data scientists apart.
Every scientist needs a working knowledge of business intelligence (BI) to assess a business situation and come up with a data model that leads to actionable insights. For this reason, some data science courses may include a few business or finance classes to give you a framework for how to do business.
Since a data scientist works with business professionals who know more about coding and statistics than they do, the ability to explain your ideas is essential.
From writing reports to giving presentations, a data scientist needs to be able to communicate their ideas in a way that non-technical professionals can understand. This includes using data visualization tools like Tableau that bring your data to life. However, be prepared to interact with people who don’t have a data science background
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No, you don’t need a degree to become a data scientist. All you need are the skills required to play the role.
While many data scientists now have at least a master’s degree, 25% have only a bachelor’s degree and some do not have a university degree. Companies are slowly learning that you may not need a degree in that particular field to excel as a data scientist. In fact, a growing number of companies are happy to accept data scientists from data science bootcamps.
Many universities offer a bachelor’s degree in data science, but it takes an average of four years to get one. And, depending on the college you choose, you can spend upwards of $99,000 for a four-year degree, while you can complete a data science bootcamp for less than $20,000.
Since most data science roles require a master’s degree or higher, however, additional education may be required. Some master’s programs can be completed online in less than a year. The longer you stay in school, the more you have to pay – although financial aid may be available.
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Going to college is very long, and self-education is not always considered right, a middle ground is often sought. Data Science Bootcamp provides just that. Through intensive and on-the-job training from industry-leading experts, students at Data Science Bootcamps gain hands-on experience in data science – without the unnecessary courses they have to take. need universities.
This data-driven approach enables students to learn the information they need, significantly reducing the length and cost of their travel. For example, Flatiron School offers full-time data science programs that you can complete in 15 weeks, and you can complete their roles at a flexible pace of 20, 40 or 60 weeks.
Once they are done, they have many networks to find skills and even job training support. The only problem is that some data managers prefer official certification.
Many data analysts already have the math, business and communication skills it takes to become a data scientist – all they need to add are coding skills. If you have enough qualifications and some kind of degree – especially in the STEM field – self-study and some certifications that prove programming skills may be enough to get you into the data science industry. Try a free lesson from Flatiron School to see if you’re ready to make the jump
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Self-study may be the cheapest, but it requires a lot of discipline to keep working on yourself and is not suitable for everyone. It is difficult to prove what you know and how. It’s also important to make sure you’re learning the right stuff from legitimate sources, or you may find yourself less equipped than you thought – which is why some data science jobs don’t consider self-training legitimate. ah.
Because there are so many different paths to take, the answer to “how long does it take to become a data scientist” is: it can vary.
Those who take the university route can become data scientists in 3-4 years. 75% of those who decide to pursue their Master’s in Data Science, may take 1-2 more years.
The total time can be multiplied by 5-6 years. Although self-study is probably the shortest path, it depends a lot on the student. Dedicated students can complete their studies in a few months, while confused ones can extend their journey indefinitely.
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Data science bootcamps can help students achieve their goal of becoming a data scientist in a matter of months. Some introductory bootcamps last around six months – but most are around 12-15 weeks. The bootcamp route may be the quickest option for some to become a data scientist
If this interests you, start your path to becoming a data scientist at Flatiron School today.
The Flatiron School offers an online data science program that you can complete in 15 weeks. Schedule a 10-minute chat session to learn more.
Disclaimer: The information in this blog is current as of 15 June 2021. Current policies, offers, procedures and programs may vary. Visit for the latest information
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