Why Study Data Science
Data science is a fast-rising career, with an expected 11.5 million data science job openings by 2026. While data science is a rapidly developing career, it’s a relatively unknown field of study. Therefore, it may be challenging as a student to decide if it is the right course for you. Read on to have a clearer idea of data science and why you should consider studying it.
What Does a Data Scientist Do?
Data scientists use their skills to organize an extensive set of data to gain insight and help organizations make informed decisions. The first step involves understanding the difference between structured and unstructured data for easy collection, interpretation and analysis. The data scientist uses machine learning and statistical tools to interpret and analyze the data to gain valuable insights into the business.
Companies use data scientists to manage and interpret data to solve complex problems. A data scientist performs different tasks, including determining the correct data set, pinpointing data-analytical issues, cleaning data and analyzing trends and patterns. The tasks involve combining technical expertise and practical knowledge to provide value to companies. Thus, you need to have a strong background in analytics, math, modeling or computer science.
Seven Reasons to Study Data Science
- High Paying Career Opportunities
Data science is a lucrative career because it’s a prestigious position in a company. Data scientists play a crucial role in business strategy and decision-making, making them a valuable asset to a company. Therefore, studying data science increases your chances of getting a well-paying job. In addition, there is global demand for data scientists, attracting professionals from diverse fields such as computer science, statistics and math.
- Become an Expert in Cutting-Edge Techniques
Learning data science provides a background experience in using advanced tools and techniques. Data science courses help you develop practical and specialized skills that groom you for the job market. You learn the necessary skills in artificial intelligence, machine learning and data intelligence. As a result, you have a competitive edge compared to students majoring in computer science and other IT courses.
- Variety of Job Roles to Choose From
One of the best reasons for studying data science is the different jobs and career paths available in the market. You can work as a big data analyst, application architecture, machine learning engineer, or general data scientist. On top of that, you can work in different industries such as automotive, healthcare, manufacturing or financial services. The more you progress in data science, the more opportunities. In this way, you have the chance to define your career path by specializing in a specific role or industry.
- For Research Project Analysis
Basic data science is helpful in your academic research projects. It simplifies research and helps you get accurate results. Research usually involves analyzing large amounts of data using tools such as SPSS, Stata or JMP. Data science knowledge makes it easy for you to draw meaningful insights to establish trends and correlations between your variables.
- The Growth of Big Data
Big data is a collection of a large volume and complexity of rapidly growing data. The world is in the age of information, and the internet has made it easy to collect whatever information you need. The big data revolution has given companies an edge over their competitors, but data keeps changing, creating a need for data scientists. Data science helps you understand the data trends and analyze how to benefit from them.
- The Future is Artificial Intelligence
Technology is advancing at an incredible speed, and artificial intelligence is shaping the future of many industries. AI is the driving force behind emerging technologies such as big data and robotics. Many innovations are taking place in different sectors, such as the automation of the transport sector and the use of robots in surgery. You can become a part of creating unique and sophisticated innovations by studying data science.
- Starting Your Own Business
If you do not wish to be employed, you can use your data science knowledge to set up your own business, such as data monetization. Data science aims to extract knowledge and gain insights to inform and make decisions. Some companies need structured data, and you can use real-time analytics to help them make informed decisions. Data science also provides the skills to embed data analyzing tools with a company’s product and sell it as a data product.
Conclusion
While data science is an emerging field for students, there’s a demand for data scientists in different industries. Learning data science guarantees a well-paying job, a defined career path and specialized skills for the job market. Data science will dominate many sectors in the future, and these seven reasons provide a better understanding of the importance of studying data science. So go ahead and make data science the career of your choice.
