{"id":11456,"date":"2021-12-21T13:13:15","date_gmt":"2021-12-21T12:13:15","guid":{"rendered":"https:\/\/careerfoundry.inbearbeitung.de\/en\/?p=11456"},"modified":"2023-05-17T14:57:34","modified_gmt":"2023-05-17T12:57:34","slug":"how-to-become-a-data-scientist","status":"publish","type":"post","link":"https:\/\/careerfoundry.inbearbeitung.de\/en\/blog\/data-analytics\/how-to-become-a-data-scientist\/","title":{"rendered":"How to Become a Data Scientist"},"content":{"rendered":"

If you love data, complex problem-solving and the idea of long-term job security, a career in data science might be for you. Over the past decade, the veritable boom in big data has ensured that data scientist is one of the world\u2019s fast-growing roles. In fact, according to the U.S. Bureau of Labor Statistics, <\/span>data science roles will grow 23% by 2032<\/span><\/a>\u2014faster than the average for all other occupations (3%).<\/span><\/p>\n

The journey from <\/span>entry-level data analyst<\/span><\/a> to full-fledged data scientist won\u2019t happen overnight, and it won\u2019t always be easy. But if you love a challenge and want to invest in a rewarding career, data science ticks all the personal and financial achievement boxes. But what exactly does a data scientist do? How much can you earn working as a data scientist? And how would you even go about <\/span>becoming<\/span><\/i> one in the first place?<\/span><\/p>\n

In this post, we\u2019ll answer all your burning questions. By the time you\u2019re done, you’ll be equipped with everything you need to decide if data science is the field for you. Read on, or use the clickable menu to jump to the topic of your choice:<\/span><\/p>\n

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  1. What does a data scientist do?<\/span><\/a><\/li>\n
  2. Why become a data scientist?<\/span><\/a><\/li>\n
  3. How much do data scientists earn?<\/span><\/a><\/li>\n
  4. What is a data scientist\u2019s typical background?<\/span><\/a><\/li>\n
  5. How to become a data scientist (Step-by-step)<\/span><\/a><\/li>\n
  6. Wrap-up and further reading<\/span><\/a><\/li>\n<\/ol>\n

    Ready to learn how to become a data scientist? Then let\u2019s dive in.<\/span><\/p>\n

    1. What does a data scientist do?<\/span><\/h2>\n

    First up, you\u2019re not going to pursue a career without knowing what it involves, right?<\/span><\/p>\n

    What is data science?<\/span><\/h3>\n

    An emerging, multidisciplinary field of study, data science blends big data, data analytics, statistics, and informatics with computer science and technology. Because it’s used in many industries (from medicine and finance, to retail and scientific research) this definition is necessarily broad. The devil, as they say, is in the detail: the nuances of a data scientist\u2019s role lie in the idiosyncrasies of each position.<\/span><\/p>\n

    Ultimately, one thing bonds all data scientists, regardless of the specifics. Namely, they all identify patterns in big data, extract insights from these and use them to ask strategic \u2018big picture\u2019 questions to drive their organizations forward. Defining exactly how a data scientist identifies these patterns, and identifying what business progress looks like in their specific context is where things start to get murky. The answers here vary greatly depending on the industry and the role.<\/span><\/p>\n

    We\u2019ve covered this discipline in detail <\/span>in our full guide to what is data science<\/span><\/a>. <\/span><\/p>\n

    How does data science relate to (and differ from) data analytics?<\/span><\/h3>\n

    Let’s briefly explain the differences between these two fields. If you want to take a break from reading, my colleague Will explains data science vs data analytics in this video:<\/p>\n