fbpx
🎉 Stay safe and learn from the convenience of your home. All classes are conducted virtually. 🧑‍💻

What Makes Someone a Data Scientist?

by | Mar 28, 2022 | Blogs | 0 comments

What Makes Someone a Data Scientist? - Vertical Institute

What Makes Someone a Data Scientist? Data scientists are not monolithic and more often than not, the work they do and the tools they use vary wildly. However, across the different fields of work, some common traits differentiate the more successful data scientists from others. Here are some of their common characteristics:

1. Successful data scientists adopt clean coding practices

As a data scientist in the industry who is worth their salt, you will certainly have to get your hands dirty with coding to a certain extent. While the code you wrote frenziedly might do the job in a pinch, your future self, as well as others who might come to rely on your code down the line, will thank you for taking the bit of extra time to write orderly code that is easily understandable. 

There are a few ways to code cleanly and responsibly. At the very least, successful data scientists use meaningful names for variables and functions, practice using the single responsibility principle and document their thought processes regularly. 

2. Successful data scientists keep up with new developments

Data science is a field that is rapidly evolving. Every few months, popular tools become outdated and new exciting findings claim the spotlight. In order to stay relevant and increase the pool of resources they have at their disposal to tackle different business problems, data scientists make concerted and regular efforts to keep up to date with new developments in the industry by reading relevant blogs, research papers and books. 

3. Successful data scientists are open to change

As mentioned, the data science field is fast-paced and ever-changing. In order to keep up, it is important that data scientists are versatile and adaptable in the face of constant change. To increase versatility, successful data scientists usually learn multiple programming languages such as Python, R and SQL and gain experience in different data analytics soft wares such as Tableau, Alteryx and PowerBI. Having these tools at their disposal makes them more equipped to gain insights for a larger variety of business problems. Through broadening their knowledge in this manner, they have also primed themselves into developing learning skills that will help them more easily pick up new tools as they gain popularity, allowing them to be more flexible as the data science field evolves. 

Best Data Science Courses in Singapore

If you would like the chance to develop these habits, sign up for our Data Science Course. Our data science course is IBF funded and taught directly by expert data scientists in Singapore.

About Vertical Institute

Vertical Institute prepares individuals for the jobs of tomorrow. We specialise in teaching in-demand skills, building the next generation of changemakers and inventors through our world-class tech courses and certifications. 

Singaporeans and PRs can receive up to 90% IBF Funding off their course fees with Vertical Institute. The remaining fees can be claimable with NTUC UTAP Funding or SkillsFuture Credits.

Recent Posts

Starting a Career in Data Analytics

A data analyst gathers a vast amount of data, cleans, and interprets the information for organisations. This helps managers to make strategic decisions, propelling their businesses forward. Looking for a mid career switch to data analytics, or to start a career in...

All You Need To Know About IBF-STS Funding Changes in 2023

In recent years, technological advancements have drastically changed the way in which we work. Various types of businesses, regardless of its industry and size, are seeing a growing trend of utilising data and machine learning to improve their operations. Thus, to...

The Data Analysis Checklist that Every Beginner Needs

Before we dive into the specifics of data analytics, let’s revisit the concept of it. Data analytics involves the collection and cleaning of raw data in order to extract information and generate valuable insights that help companies make informed data-driven...

5 Tips For Your Mid Career Switch

A mid career switch is to pursue a different role outside your current occupation. As you go further in your career, your interests and priorities may change. If you feel unsatisfied with your current job, it might be time to consider a career switch. With this, you...