Data science industry is growing and the career opportunities in this field are highly rewarding. Undoubtedly, a career in data science has become one of the most popular career choices among students and young professionals looking to switch to a technological career path.
However, there is a common dilemma, whether a student is eligible to get into a data science career, if this path is open for students from a non-technical background, and what are the eligibility or perquisites to learn data science?
In this article, we will break down the various components to understand about the growing career opportunities in the data science field in 2025 and explore the future of data science, the skills in data science you need to master, and the requirements to learn data science in 2025. By the end of the article, you will have a better understanding if this career path fits you or not.
So, let’s get started.
Current Stage and Future of Data Science
Before choosing a career in data science, you must be aware of the current state of data science and where it is heading. As of now, the global data science platform market stands at $187.3 billion in 2024. The future of data science looks very promising as the market size is expected to grow at an astounding CAGR of 28.8% to reach a value of $663.8 billion by 2029 (market.us).
This rapid growth indicates increased adoption of data science technology and a wide range of applications across various industries. This also translates to increased data science job opportunities accounting for approximately 11.5 million jobs by 2026 (US Bureau of Labor Statistics)
The future of data science is undoubtedly very bright. So, if you have decided to make a career in this domain, you are on the right track. But, are you eligible for a career in data science? And can you learn data science?
Core Disciplines in Data Science
There are basically three core domains that make up the data science technology:
- Mathematics and statistics: used for data analysis and building algorithms
- Computer science: offers necessary tools and infrastructure to analyze data and build models
- Business acumen: ensures data science projects are headed to the right direction by properly identifying business problems and working with the right datasets.
Therefore, a career in data science requires you to have a basic understanding of these core three sectors.
Who can learn data science?
So, the data science industry is open to everyone, provided data science enthusiasts are familiar with the above domains. You can learn data science if you meet any of these requirements:
- Analytical thinking
Since data science requires working with complex and large datasets, individuals seeking to learn data science must have strong analytical thinking skills that will allow them to solve various kinds of business problems and apply their logical reasoning capabilities to identify patterns, and trends, and draw insights from data.
- Background in Mathematics and Statistics
As mentioned earlier, mathematics and statistics are core components of data science, and if you have a background in this field then you can easily understand the fundamental data science concepts. But if you don’t come from an engineering or science background, then still you can learn data science by gaining proficiency in relevant concepts of maths and statistics.
- Interest in programming
Most of the data science tasks require proficiency in programming languages like Python and R and knowledge of important libraries. So, before you start learning data science, you must have basic experience of working with popular programming languages which will be required for data manipulation, building algorithms, data visualization, and more.
- Domain expertise
If you are an expert in your domain and have the essential business knowledge, then it will enhance your ability to learn data science. You must have a strong knowledge of various operations and functions in your specific industry like healthcare, marketing, or manufacturing. This is necessary to understand the business problem better and propose the data science models.
- Interest in transforming business
Data science is a transforming technology, and if you are interested in contributing to revolutionizing how organizations work and make decisions then you can start your data science learning journey. It is open to all, and if you can demonstrate your skills and expertise, you can grow to greater heights in your data science career.
Starting a career on this path can be confusing as to where to start. Therefore, enroll in top data science certifications for beginners. It will help you master the fundamental concepts of data science, build a strong foundation for this domain, and gain practical experience. This will pave the path for a successful data science career.
Conclusion
Data science is an ever-green field that is only growing along with growing career opportunities. By gaining the relevant data science skills and expertise, anyone can pave their path to success in this field. If you are also interested to contribute to revolutionizing the world of business through data science, then build a strong foundation in data science, master the fundamentals, validate your skills and knowledge with top data science certifications, and get started with your data science journey.
