4 Secrets to Succeeding As a Data Scientist

Data science is a growing field. As individuals and organizations become increasingly aware of the potential applications of big data, there has been an increase in the number of people applying for jobs that are related to data science.

In fact, LinkedIn described data science as the fastest-growing field in 2017. Additionally, the industry is expected to generate 11.5 million new jobs by 2026.

This is both good and bad news to students and professionals who want to take advantage of the opportunities that data science could give.  As the job market becomes increasingly saturated by tech-savvy youngsters, you need to know what it takes to be successful as a data scientist.

Let us fill you in on a few secrets of Succeeding as a Data Scientist:

1. Get the right amount of training

The first step to becoming a data scientist is education. After all, data science is a complex and broad field that branches out into sub-fields. Regardless of whether you are planning for a career in statistical analysis or cloud computing, quality training comprises a big factor of your potential for success.

Even if you lack experience (let alone a degree in tech), you can always learn through Free Data Science Tutorials and virtual “boot camps” where you can work your way from the basics to advanced concepts, especially cloud systems and SQL.

2. Acquire marketable skills

Not all courses provide you with everything that you need in order to thrive in the industry. You can pick up other skills or acquire new ones as you go along. At any rate, you will need to focus on foundational elements such as problem-solving and analysis.

Apart from your technical expertise, you also need to develop your ability to understand organizational needs and communicate the details of every Data Science project clearly and precisely. After all, you can’t have knowledge if you can’t apply it in the real world. 

3. Know where to start your career

Are you planning to work at a large company or as a freelancer? Either way, it is important to know the best place to find jobs. LinkedIn is a good start since it allows you to connect with organizations of different sizes that need help with database management or cloud migration strategy.

You can also reach out to the career centers of your university. If you graduated from the American International University in Kuwait, for instance, you can check out for placement opportunities at AIU. Lastly, consider sites like UpWork or Fiverr for freelancing gigs. 

4. Keep growing your network

Networking is a basic but integral skill to have as a professional. In the world of data science, it is your ticket to becoming a globally competitive individual in a job market that keeps on growing.

For this reason, you need to connect with people who can become your potential mentors. Other than, make a healthy habit out of attending conferences and other IT-related events.  That way, you can never miss out on important conversations that will impact the way the world understands and uses data.  

Summary

Apart from the tips above, it also takes perseverance and commitment to accomplish your goals as a data scientist.