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Many people have mixed opinions about the role of data scientists in the year 2024. With the increasing use of generative ai tools helping many organizations and employees in the data analysis process.
Some say data science is dead. Others say it's being reborn. What should you believe?
This is my opinion.
If data is like gold, more and more companies are generating it and want to get their hands on it. One has to wonder why everyone is going crazy about data.
But does that mean organizations still need data scientists if they rely on tools like ChatGPT to clean and analyze their data? Even though organizations and specialists leverage machine learning and ai tools in their daily activities, there is still a clear growth trajectory in the data science market.
Is data science oversaturated?
We can all admit that the tech industry is booming and there are people looking for ways to get into it. Many companies are looking for professionals with web analytics skills, business intelligence and basic data engineering who data scientists They have those capabilities
However, if you are a non-tech company, many of these tasks can be automated, making it unnecessary for data scientists. However, if you work with a more tech-savvy company that requires risk analysis in the financial sector or data engineering and customer analytics, you will have a better chance of thriving in your career as a data analyst. data scientists.
It's more about the company you work for.
For example, manufacturing, logistics, healthcare and finance. These sectors require analytical services where the basic demand for data science is constantly growing. Let us not forget the field of ai, for example, natural language processing (NLP) and computer vision, which are booming right now.
So is data science worth it?
The answer is simple: yes. There are great opportunities for those with the right combination of skills in analytics and ai model development. US News and World Reporting ranked data science as the fourth best tech job, seventh best STEM job, and eighth among the top 100 jobs in 2024.
These figures highlight the demand for data science professionals and how they are an integral part of the future of technology and business.
How can I become a data scientist?
As you know, the demand for data scientists is high and there are many trying to get into the field. Some of you may have thought about going back to school, but you don’t consider the financial burden.
Breaking into the tech industry doesn't have to be so difficult anymore. There are a number of online courses that can help you get started in the industry in a matter of months, not years.
One of these courses is DataCamps Data Scientist Certification. An industry-recognized certification where you can be confident that your certification has value and will be approved by leading organizations.
In this certification, you will learn how to collect, analyze, and interpret large amounts of data using machine learning and artificial intelligence when necessary. With this technical aspect of learning, you will also learn how to communicate the results of your analysis to business stakeholders effectively.
And the most amazing thing is that you can complete it in 30 days! Once you register, you will have 30 days to complete the practical, timed exams with all the preparation you need to ensure success. The learning platform has everything you need to prepare and achieve your goals.
The hardest part is finding a job, isn't it? In today's economy and job market, many people are afraid to invest in their careers, and I don't blame you.
However, DataCamp offers you exclusive access to its certification community, where you can connect with other certified professionals and explore content curated just for you by our community team. In this community, you’ll hear about new events with industry experts, which is great for networking, group forums to ask questions and get feedback on your work and portfolio, exclusive content designed to make you a top-notch data professional, and resources to stand out and excel in your job search.
Ending
Many people will have mixed opinions about the growth of data science in today's market. However, there are still many people entering the field to meet the demand. Any tech position requires you to learn and improve skills, so starting out as a data scientist will allow you to move into other areas, such as business intelligence or data engineering, which are also in high demand.
Nisha Arya Nisha is a data scientist, freelance technical writer, and a KDnuggets community editor and manager. She is especially interested in providing advice or tutorials on careers in data science and theoretical knowledge about data science. Nisha covers a wide range of topics and wishes to explore the different ways in which artificial intelligence can benefit the longevity of human life. Nisha is an enthusiastic learner and is looking to expand her technological knowledge and writing skills while helping to mentor others.
