Essential Tips for People Starting a Career in Data Science

Essential Tips for People Starting a Career in Data Science

The need for data scientists has continued to increase exponentially in recent years. With the constant development in the technology sector, and an increasing handling of big data, there has been a need for more analytical persons to mine this data and interpret them. Data science is both the present and the future of technology. If you are looking to start a career in this field, here are some essential tips to guide you.

  1. Identify Your Role

The data science industry presents you with unending career possibilities. From data engineering to machine learning, data visualization, and more, you have a few options from which you can pick. Your background, work experience and personal competencies will have a huge role to play in which data science role will feel the most comfortable for you. Identifying this role will ensure that your learning process is smoother.

  1. Study a Relevant Course

Once you have settled on the role you are best suited to, your next line of action will be learning the ropes to qualify you to fill that role. There are more than a few data science related courses out there to fill the many different roles available in this field. Find a course that would best qualify you for the role ahead, whether this is a free MOOC course or a paid accreditation program, and actively follow it through (coursework, assignments, discussions, etc.) to get a clear picture.

  1. Expand Your Knowledge with Projects

If you have successfully completed a course, it is important that you continue to expand your knowledge base. This is arguably the fastest growing sector in modern technology, with new tools, skills and methods constantly springing up. Get yourself a personal data science project that will allow you practice all you have learned from your course. You will be challenged into improving your skills, while at the same time boosting your portfolio and self-confidence with quality projects.

  1. Meet Like-Minded Persons

This is one of the harder aspects for every newbie pursuing a career in data science, but it is hugely important. Find a peer group focused on your particular niche, and with similar interests and goals as yours, and join them. This will help keep you motivated and updated with recent trends, while also helping you tackle some specific challenges. Be sure to set aside time for meetups and events in your chosen career.

  1. Improve Your Communication Skills

Communication skills may rank among your lowest concerns when pursuing a career in data science, but it is a particularly vital skill. Your success with interviews will likely come down to how well you can communicate your technical competence. Likewise, you will require those skills when working out in the field and trying to impress your ideas on colleagues.

There are many different entry routes for those seeking a career in data science. If you are already a software engineer, for instance, you can always pursue your master’s in Data Science at BBS to get you equipped for the role ahead. Be sure to have a clear strategy going in so you don’t get lost along your chosen career path.

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