Advice For Those Pursuing A Career In Data Science

摘要： Looking to pursue a career as a data scientist? This is a field that many people are interested in because the job prospects are so good, with data playing such a pivotal role in modern-day business. Data scientists can benefit from great job security, lucrative pay, career development opportunities, and rewarding and interesting work. While there are many perks to a career as a data scientist, you should also know that it is not an easy job and will be competitive. With this in mind, keep reading for a few pieces of advice that should come in useful for anyone looking to pursue a career as a data scientist.

▲圖片標題(來源： BDAN)

Develop Your Written & Verbal Communication Skills

One of the most overlooked areas when it comes to data science roles is communication. While you certainly need to have strong technical skills, you will also find that you spend a lot of your time communicating, presenting, and working as part of a team. There is a misconception that work in this field is solitary and can all be done in a dark room, but the truth is that it is actually a highly social role. This is why it is important to develop your communication skills, including both your written and verbal skills (especially if these are weaknesses).

Develop Critical Thinking Skills

When you work in data science, you are essentially employed as a problem solver. You will need to be able to gather, analyze and interpret data and then create actionable plans for organizations to help them to achieve their goals. In addition to the obvious technical skills, this also means that you need to be a good problem solver. You can improve your problem-solving abilities by developing your critical thinking skills, which can make all the difference to your success in data science.

Engage With The Community

There is a large (and growing) community in data science, and this can be incredibly useful for those looking to pursue a career here. Not only is it helpful for building a large professional network that could present new opportunities, but it is also helpful for determining whether or not this is the right industry for you.

Data science is a unique field, so it is helpful if you can speak with current data scientists, get questions answered, and generally get a feel for whether or not this is the right field for you. As you might expect, the internet is the best way to engage with data scientists, and there are many excellent online communities where you can begin to build a network. You should also look to attend relevant events where possible to make connections in real life.

Develop Technical Skills

Obviously, technical skills are hugely important in this field. When you are pursuing a career in data science, you will want to choose one language and be proficient in it as opposed to having basic knowledge of a few. The technical skills that you should start working on as early as possible include cloud computing, Java and Python, DevOps, big data, and Linux, just as a few examples. When you are developing your skills, you might find it useful to start applying data science to things in your life that you enjoy. This can make learning much more enjoyable, and you might even find that it helps to improve your life too.

Gain As Much Relevant Experience As Possible

When it comes to data science, you need to gain as much relevant experience as possible to kickstart your career. Keep in mind that this is becoming a competitive field, so those that have some relevant experience will always stand out to employers, even if it is just an internship or volunteering. Learn as much as you can from the experience that you get and always ask for feedback to see how you are doing and what you could be improving on.

Masters in Data Science

If you want to excel in data science and reach a leadership position, you will want to take an online masters in data science. This will unlock your career advancement by developing the key skills and knowledge that is required to move into fields such as data analyst, big data engineer, computer scientist, data scientist, data architect, and other relevant roles. Additionally, you can take the course entirely online, which makes it much easier to fit into your schedule.

Build A Portfolio

As you begin to develop your skills and gain relevant experience, you should make sure that you are building a portfolio at the same time. A portfolio will help to demonstrate your skillset, experience, and abilities when looking for work and could help you to stand out to employers. You should add to this portfolio over time and as your skills, knowledge, and experiences grow.

Immerse Yourself In Data Science

In addition to regular networking, it is also important to immerse yourself in the world of data science. This will help you to stay current, improve your knowledge and skills, grow your network and make this an important part of your life. There are many ways that you can immerse yourself in data science, including attending industry events, reading blogs, listening to podcasts, subscribing to industry publications, and joining online communities, just as a few ideas.

Work On Your Interview Skills

As with any field, it is also important that you work on your interview skills and how you come across. As a field that is competitive, you need to be able to perform well in interviews, so you need to develop skills, identify and work on weaknesses and always prepare fully with practice interviews and researching each company.

The information in this article should help anyone considering a career in data science. This is a fascinating area to work in with great career prospects, but it is also an area that can be challenging and competitive. This is why it is so important to know how you can set yourself up for success with a career in data science.

轉貼自： BDAN

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