Every No-Degree Data Scientist Loves a Worker shortage! But why?

No-degree data scientist: Non-tech holders fight workers shortage in data science

Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Data science is a very good career with tremendous opportunities for advancement in the future. To uncover useful intelligence for their organizations, the data scientist must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.

A data scientist is an analytical expert who utilizes their skills in both technology and social science to find trends and manage data. The term "data scientist" was coined as recently as 2008 when companies realized the need for data professionals who are skilled in organizing and analyzing massive amounts of data. He/she encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis.  The shortage of data science isn't a simple matter of not having trained people with degrees to become data scientists.

Reasons behind the shortage of data scientists:

The major reason behind the shortage of data scientists in the industry is the lack of skills. But the organizations are not able to find the required data science skills in the data science aspirants. And the rising demand for analytics in the companies has given rise to an exponential shortage of data scientists.

Many organizations can do with one software engineer and an analyst who can analyze data to maintain the businesses without a data scientist. And organizations are demanding a master's degree with some years of experience. For beginners, no experience in the domain of data science and the companies are demanding experience because it's required for the job. So, that forms a deadlock.

No-degree data scientists in the data science field:

Data scientists required a lot of skills, technical as well as non-technical skills. It's not essential whether he/she has a data science degree or not. Many organizations have a specific requirement related to data, which requires candidates to have in-depth knowledge about data science, not with a data scientist degree.

A portfolio of doing real-life projects can help get you noticed and build your credentials as an aspiring data scientist and learn how to apply your skills on data and improve them at a much faster pace. So anyone can pursue a rewarding career in data science with a non-technical degree.

To perfect every skill data science requires would mean spending several lifetimes on the topic. You're never going to finish learning, and you should always keep the spirit of intellectual curiosity that brought you to data science in the first place.

Finding a data science mentor can help to make the uphill journey toward data scientists with good critical thinking and analytical skills. No one degree can stop you from achieving your dream career in the data science field.

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