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Why Data Science is the most in-demand skill now and how can you prepare for it?

Data is an integral part of our lives. It is used in every field, from healthcare to finance, to marketing. Data drives decisions and it is becoming increasingly important for businesses to have access to data in order to create value and provide insights.
There are many ways that companies can collect data. They can use sources like Facebook or Google, they can buy data from other companies or they can create their own databases by collecting data themselves.

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
Understanding the skillsets to be a data professional
A data scientist’s job role is usually based on the company they work for, but their skills are not limited to just one field. Their skillset includes mathematics, statistics, computer programming, and business acumen among others. Data science jobs are in demand, and the demand is only going to grow with time as more companies realize the value of this profession.
With the advent of new technologies and the increasing need for data analysis, it is becoming clear that this profession is here to stay. You can find a list of skills needed to become a data scientist below:

-Programming: Python, R, SQL, Hadoop
-Statistics and mathematics: Linear algebra, multivariable calculus, probability theory
-Machine learning: Regression models, clustering algorithms
-Data visualization: D3 library, Seaborn, Matplotlib library
-Natural language processing: NLP tools such as NLTK or GATE

Data science is a wide field and there are many courses and certifications available. It is important to know what you want to do before you start your course or certification. There are a lot of certifications that specialize in data mining, data analysis, machine learning, deep learning, and AI.
Written by: Xiao Tong Loh

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