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What Education Do You Need to Work in Data Science?

Description: Are you currently looking into your options for an IT career? Read on to learn what skills and education you need to become a data scientist!

Today, more and more young people are eager to connect their lives with tech professions. This is not a surprise because the information technologies field is very promising right now, even when you don’t want to become a classic programmer. There are plenty of great occupations in IT that pay well and can help you achieve your full potential!

Data science is exactly one of those fields! Right now, careers in this domain are on top of IT openings in the United States and in the world. While you still need to know programming, you would be doing much more than coding. Researchers say that specialists in this area receive higher compensation as compared to other IT professions, and they have high job satisfaction!

There are plenty of education options for those who want to get a job in the field of data science. Of course, you would still have to study math, programming, and other subjects that might not seem like they are related to IT at all. Try looking for an essay service. This way, you can delegate some of the homework and focus on other projects.

Have you made up your mind about your future career, but still don’t know where to apply for your degree? Read on to learn about your education options in order to work in data science!

What education do you need?

Similarly to any other profession, students need to get a bachelor’s degree as a minimum educational requirement to become a professional. For some companies, you might get away with an undergraduate degree or even only your high-school diploma if you have a lot of relevant skills or previous experience in the field. On the other hand, this is an unlikely situation.

You can always choose a major and a minor that complement each other well for your future career. Here are the most sought-after programs that can get you a relevant set of skills to put your foot in the door of an IT company after graduation:

  • Bachelor’s degree in information technologies, computer science, mathematics, or business;

  • Master’s degree in data science, computer science, or a related field;

  • additional certifications.

As you can see, there is a lot to choose from. Also, some students decide to additionally enhance their skills with the help of completing online courses at the same time as they get their diplomas. Try looking for Essay Hub reviews and finding a writer online for your projects! Your project writer will complete your homework for school, and you can do your course tasks!

What are the most popular certifications for a data scientist?

As it was mentioned before, there are some additional educational paths that you can take to improve your soft and hard skills. This will come in handy especially when you don’t have any relevant work experience before graduation. This is completely fine because undergraduates are not expected to combine work and their studies all the time.

Here are some of the most popular courses, academies, and boot camps that you should definitely take a look at before graduation!

  • Certified Analytics Professional (CAP)

  • SAS Certification

  • Open Certified Data Scientist (Open CDS)

  • IBM Professional Certification

  • Cloudera Certified Associate (CCA) Certification

  • Dell EMC Data Scientist Track (EMCDS)

  • Google Professional Data Analytics Certification

  • Tensorflow Certification

What are the requirements for becoming a data scientist?

Apart from having a relevant degree or a certification, you might also think about practical skills that you can demonstrate during your first interview. There are some requirements to becoming a successful member of the IT profession, and you need to take a closer look at them before committing to a field for four years.

Technical skills

Hard skills, or technical proficiency, are something that you will have to deal with on a daily basis. Try finding the best research paper writing services if you need extra help with your homework! Being an expert in this field is all about hard technical capabilities, mathematical calculations, probability theory, and other areas that are only partially covered in universities.

So, here are hard skills that most IT companies require from their freshly graduated applicants:

  • Big data tech, for example, Hadoop, Hive, Pig, Cassandra, and MapReduce

  • Data-driven predictive model development

  • Ruby, R. Python, Matlab, C++, Java, SQL, SPSS, SAS, PHP

  • Multivariate statistics, for example, regression principal components analysis and clustering

  • Large dataset management with the help Teradata, Oracle, or SQL

  • Business intelligence instruments, for example, MicroStrategy, Business Objects, and Tableau

Soft skills

There are some abilities that you need to possess in order to fit right into your team. Many people think that you don’t need to communicate with your colleagues when you are programming or generally doing your own thing. This is wrong because even data scientists are part of a huge team that works together to achieve maximum results.

Here is what you need to improve:

  • interest in your work

  • open-mindedness

  • perseverance

  • collaboration

  • friendliness

  • decision making

  • critical thinking

What else can you do during your studies and after you graduate?

Now that you know what major you want to take for your future career, and what skills you need to possess to make an impression on any future employers, it’s time to work on your preparedness for your career. There is something you can do even before you get your diploma! This way, when you graduate, you will have a substantial competitive edge over your peers.

  1. seek advice from leading specialists in the industry.

  2. create your own portfolio, even if you haven’t worked before.

  3. look for boot camps online.

  4. focus on one programming language and learn it to perfection.

  5. don’t turn down an internship or a part-time job.

  6. consider going for a master’s degree after graduation.

All of these steps guarantee that you will be more than prepared to find the job of your dreams! It’s not enough to just get a diploma and enter the workforce without anything to strengthen your position.

To Sum Up

Now you know everything about becoming a data scientist. Luckily, there are plenty of higher education institutions that offer a degree in information technologies. You can even choose a minor that will give you a competitive advantage in the future, like business, or marketing. This will definitely be a bonus for a qualified specialist in data science!

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