You would undoubtedly be motivated to ask about the above if you had been living under a rock for the past ten years. In the corporate world, big data has unleashed an extremely interesting kind of professional. Large amounts of big data can be confusing to people who are not in the loop. Because there are billions of internet users worldwide, 2.5 quintillion bytes are generated every day. This number will continue to rise.
Data science is required for decoding complex, disorganised data. A certified data scientist is equipped to transform unprocessed data into valuable insights that may be used to launch a company. They are able to analyse the data from big data to make strategic decisions that support an organisation in achieving its goals. You must have technical skills, domain knowledge, and an analytical mindset to be hired for this highly sought-after position. Companies pay data scientists generously because they recognize the significant value they bring to their day-to-day operations. It’s among the factors making data science one of the most popular careers in the world right now. And an easily understood answer to the query, why data science?
Top 5 Reasons Why You Should Become A Data Scientist in 2024
The importance of data science today will be lost on the generation that was raised to believe that being a doctor or engineer was the only possible professional route. It might appear confusing to them. They are interested to know why students choose data science over more conventional career paths.
Here are five reasons to learn data science in 2024, along with an explanation of the benefits of obtaining a certification in the field. Check out our Data science certification free course to learn more.
1.There Is A Large Demand For Data Scientists
A data professional is a business analyst, mathematician, and computer expert combined into one ideal package. You are passionate about business strategy and have a knack for information technology. For businesses looking to build online data farms or e-commerce websites, this is the perfect combo. With training in data science, you can help these organisations in optimising their processes. Data-driven statistics can be utilised to assist them in enhancing their performance in the future. There is a great demand for this level of skill, and that desire will only grow. It’s among the factors that make becoming a data scientist crucial in today’s business environment.
2.It Has Tremendous Earning Potential
Given the lack of qualified candidates in a developing subject like data science, which is in great demand, a highly competitive salary base and growth window is inevitable. This also applies to data science. As of May 2021, the BLS reports that the median yearly salary for a data scientist is $100,910, and it has risen to up to $120,000 in 2024. Even if that amount would be sufficient, the BLS reports that the top 10% of data scientists can make up to $167,040 a year.
We advise ongoing current research about the job outlook in the city you currently reside in or where you aim to grow your career, but keep in mind that these figures are always changing and can vary greatly depending on where you live and what kind of company you work for.
It goes without saying that your salary will skyrocket if you put in the work to establish yourself as a mid-level data scientist or perhaps advance to a managing position. This might be quite near to the top end of BLS pay forecasts at a prestigious company. Also, a lot of organisations will provide significant yearly bonuses as well as other benefits like shares or stocks, especially for roles as important as data scientists and the link between their job and the success of the organisation as a whole.
3.There Are Great Opportunities For Growth
Data science has applications in every business, including manufacturing, healthcare, retail, automotive, and finance. To accomplish their goals, organisations can make informed decisions supported by data. The applications of data science are virtually endless as more individuals join on to the internet and as more data is gathered. Data scientists are the fastest-growing profession in the world, according to a LinkedIn survey, with demand rising by 65% since 2012. Data science is predicted to generate $230 billion in revenue by 2026.
4.Data Science Has Several Job Profiles
To accomplish a multitude of technical duties, data scientists receive extensive training in a variety of skills. They gain knowledge on how to use data to their advantage, improve their strategic decision-making, and produce future-proof solutions. However, certain job descriptions require certain skill sets, like:
- Data Engineer: A data engineer builds a framework to facilitate the storing and retrieval of data.
- Data Architect: The role of the data architect is to streamline different data sources and manage database structure.
- Statistician: A statistician interprets and analyses data using a variety of statistical techniques.
- Data Analyst: Data analysts employ analytical technologies to support the expansion and growth of enterprises.
These are unique and multifaceted jobs. You are free to choose options based on your interests and talents.
5.Receive Job Satisfaction
Being in data science at this time is extremely incredible. With the way the field is developing so quickly, there is a lot of opportunity to use cutting edge AI and technology.
Data science encompasses a wide range of disciplines, including edge computing, serverless computing, and predictive analysis. In the data industry, they are all raising the stakes. You have the opportunity to lead the way in novel developments and contribute significantly to this expanding subject. Furthermore, the pay does a decent job of rewarding your labour. These are only a few reasons for choosing a career in data science.
Conclusion
To learn more about Data Science in 2024, check out our Data science training with placement online.