Data is the key driving force for any business entity to forecast future consumer behaviour and make targeted decisions. Hence, a certified data science professional is in high demand. Working in the data science industry could be challenging as well as analytically satisfying for many professionals. Big corporate IT giants such as IBM, Google, Accenture, Wipro, and others are maximizing their input of trained data science personnel. Such companies across the globe gather and analyze their consumer data to provide better service and improve their bottom lines.
Who is a data scientist?
A professional who gains mastery in analyzing and interpreting humungous data is a data scientist. They torture this data to bring out critical business insights and help them bloom. Not just one, there are many data science skills that become a part of this huge gamut of things, to make the processes work efficiently. They are the ones who develop newer ways of collecting and storing data across channels.
Why should you become a data scientist?
Looking at the above data science jobs trend for the year 2023 and thereafter, it shows a rising trend with market revenue for the data science industry reaching a global high of USD 103 billion by the year 2027. This should help you clear the air and set your priorities right, with such amplifying trends in the future. Building a lasting data science career begins today, with the right data science certifications and skills put in place.
How to become a data science professional?
There are many ways to reach your goal of becoming a certified data science professional. This section allows you to take an insight into what it takes to become one, with the right credentials.
6 easy steps to emerge as a successful data scientist in 2023:
- DO YOU HAVE WHAT IT TAKES?
If you are the one who gets excited at the sight of big numbers and is keen on answering interesting questions using data and code- the data science industry is the one for you. Begin by analyzing news articles to build a mindset for the data science realm of things. Research about how professionals reach their conclusions with the given data and further processes.
- GET THE EDUCATIONAL BASICS RIGHT
Understand that data science is about answering questions and driving business value, not about tools. Getting your graduation or post-grad degree in STEM subjects is the way ahead.
- MASTER TECHNICAL & SOFT SKILLS
Python, R, SQL, Java, and C++ are the popular programming languages to master to get into the field. Mathematics and statistics form the basis, along with exemplary communication skills, collaboration, and other soft skills.
- BUILD PROJECTS & SHARE YOUR WORK
Getting the concepts right is far more beneficial than learning the syntax. Building projects and sharing them is what you’ll do in an actual data science role. Begin small- the projects you build don’t have to be complex. Gather feedback on your shared work from your peers and industry experts. Also allow your employers to view your projects as testimonials.
- ESSENTIALITY OF DATA SCIENCE CERTIFICATION
A data science certification that is not just a digital badge, but offers an insight into your key skillset and allows employers to validate your credentials. Earning the same from a trusted name in the industry makes a huge difference.
- PUSH YOUR BOUNDARIES & EARN MORE
Employers want to hire data scientists who find critical insights that save them money or make their consumers happier. Data sciences is an ever-evolving field and expect its forerunners to adapt to the latest and the new in the industry. Try working with a larger dataset, acquire new knowledge for another project, and teach what you learned on your project.
Building a strong data science portfolio is more valuable than a resume, as you can use a portfolio to keep a record of your projects, codes, and datasets. Enrolling in data science certifications is a great way to showcase to your employer your key skills and validate the same in an accredited manner. Keep room for innovation and quality add-ons in your data science skillset for amplified career growth.