Reasons For Data Science Skillsets to be Desired
(i) Data is everywhere and data is everything:
In the past, it was difficult to collect data and store it in a way that was accessible for analysis. Today, we are producing more data than ever before. There are many different types of data which include sensor data, audio recordings, video recordings, financial transactions, and other types of data. This has allowed us to get an insight into how people live in different countries and what they do on a daily basis with just one click.
(ii) The Shortage of Data science professionals:
Data science professionals are in high demand right now. It is probably because of the rapid growth of data and the need to process it. Data scientists have a wide range of skills, they can be anything from statisticians to computer scientists who have expertise in machine learning, artificial intelligence, and data mining.
It is important for data science professionals to know the process of gathering, cleaning, and analyzing data before they can start making sense of it. This is where computer programming comes into play as well as statistical methods like regression analysis or clustering algorithms. Data visualization tools are also important for presenting findings in a way that makes them easy to understand for all stakeholders involved.
(iii) Honing the skills that are needed to be successful are various:
The skills that are needed to be successful in this field are data wrangling, data visualization, model creation, model evaluation, and other skillsets. A good way to hone these skills is by taking online courses and project-based learning.
(iv) Domain knowledge is beneficial to professionals to enter the data science field:
Data-driven decisions are critical to success in this era of digital transformation, and they will become increasingly important in the future as AI and machine learning technologies continue to evolve.
(v) High salary