Why Should I Study Data Science? Top 5 Reasons

Divyanshi kulkarni
4 min readFeb 12, 2024

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Modern technology devices like weather satellites, smartphones, etc. are gathering colossal amounts of data. The significance of data has been constantly rising in almost every sector as most tasks rely on data nowadays. According to Statista, over 180 zettabytes of data will be created globally by 2025. Thus, more businesses will need data science experts for data-driven decisions and to get a clear picture of their business health.

What is Data Science?

Data science is one of the most in-demand career paths that combines scientific methods, tools, algorithms, and technologies to produce profound insights from raw data for businesses. Data science professionals often have to master the complete spectrum of the data science life cycle to improve returns at each stage of the process. Other data science responsibilities comprise data collection, data processing, data analytics, data visualization, data preparation, predictive modeling, and more.

People who want to secure careers in data science need to obtain a degree and certificate/certification in data science. Alongside technical skills, data science experts need the ability to communicate the gathered insights in a way that positively impacts business decisions. Developing specialized skills within this growing field can distinguish you even further.

Importance of Data Science

Making informed decisions can be challenging without data science. The insights extracted from data science are important for data-driven decision-making. Data scientists conclude from the gathered data to identify trends in several business aspects. It allows C-suite executives and leaders to make smart decisions supported by insightful data to make good decisions for customers and keep their businesses growing.

Data science is beneficial not just for private companies or businesses but government agencies from the state and federal levels and local entities also depend on data insights for various purposes. For example, national defense, emergency planning and response, city planning, public safety, etc.

Additionally, data science hits the AI potential, which boosts productivity and efficiencies, delivers customized user experiences, and ensures enhanced cybersecurity. AI depends on different types of data obtained from large data repositories and analyzed by data scientists to provide detailed insight and immense value.

Top Reasons You Should Consider Learning Data Science

Here are the top 5 reasons why people seeking data science jobs must study data science –

High demand for data scientists

The growth rate of data scientists is much higher than the average of other jobs. Moreover, data science careers provide a huge potential for progress, with the potential position of chief data officer becoming a C-suite profile across all business types. This high-demand employment needs a special skill set, degrees, or certificates. Therefore, candidates must study data science to secure a growing job.

Great earning potential

Careers in data science can be rewarding and fulfilling. Glassdoor estimates an average salary of $126,200 for data scientists in the US annually. Inexperienced data scientists can earn approximately $100,000 yearly while experienced ones can earn over $200,000 annually. Chief data officers can estimate the average pay of $636,000 annually while top data executives can earn over $1 million per year.

Varying job opportunities

BuiltIn reported that data science studies can provide a candidate with access to a wide range of data science jobs as listed below –

  • Data engineer
  • Data scientist
  • Chief data officer
  • Machine learning engineer
  • Artificial intelligence or AI engineer
  • Data analyst
  • Software engineer
  • Big data engineer
  • Data modeler

Every educational institution, business, and government agency is nowadays producing data and needs professional support to gain meaningful data insights. Earning a recognized certification or degree offers flexibility to work in the relevant sector.

Job security

In the “Annual_Jobs on The Rise” report of LinkedIn 2023, the machine learning engineer job profile is ranked 4th position. Data science is an ever-growing industry that provides complete job security.

Data is being produced by organizations from every product launch, employee action, project, and other business procedures or activities. Data constantly being generated from several sources for numerous purposes is not going to end today, tomorrow, and in the future.

The demand for skills for converting raw data into actionable insights will keep rising in the upcoming time with the production of more data. With the advancement of technology, data scientists will be at the lead of innovations.

Data scientists are in demand in numerous sectors

The rising demand for data scientists is being observed in almost every sector to combine data environments into their work or activities. Rural planning, healthcare, medical research, manufacturing, finance, automotive, retail, logistics, climate change, and telecommunications are the most popular industries seeking data scientists and other professionals from the data science domain.

Conclusion

The higher demand for data scientists and great earning potential is making more people secure their careers in data science. The professionals in the data science market will have a bright scope as this sector is growing fast to make the world a better place.

So, if you want to benefit from high-paying and highly demanded jobs, then study data science which offers access to a large range of job opportunities. Start by earning an undergraduate degree and getting certifications from an accredited and recognized institution. Stay updated on the new industry developments to get a competitive edge.

Source: https://usagnews.com/why-should-i-study-data-science-top-5-reasons/

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Divyanshi kulkarni

Machine learning Intern @Devfi || B.Sc Statistics graduate || C++ || R programming || IBM SPSS || Python || SQL || Machine Learning| ex-IBM