What is data science?

The simplest way to define Data Science is the extraction of actionable information from raw data. Some tools used for data science includes Python and R programming.

Some of the reasons for studying data Science includes;

• Job opportunities on the rise

The demand for data specialists is on the rise while the supply remains low, thus creating great job opportunities for individuals within this field. Companies will need data analytics professionals. This makes it a wise career move that has a future.

• Increasing Salaries.

Data Science, Machine Learning, and Analytics are considered to be among the hottest career paths. As the demand steadily increases and the supply remains low, these professionals are getting paid more and more.

• High Demand for Data Experts

You don’t get them easily whilst you need them badly. This makes the data scientists desirable entities. You can be one too and enjoy the perks of being in demand always.

There are not many who dare to become one. If you know the essence of being a part of the data science world, you need not hesitate to take that first step towards a future that others would envy to have.

• It is Flexible to Learn

Gone are the days when learning always had to be a classroom story. Online learning is in vogue now and leveraging it for data science learning is quite an option to make your learning flexible.

• Data Science is now a priority for organizations

With market competition stiffening, top organizations are turning to data science to identify new market opportunities for their services and products. As things stand today, 77% of top organizations consider data analytics a critical component of business performance. What this means is that big data professionals have a huge influence on company policies and marketing strategies.

• Gives You Freelancing Opportunities

You can use your knowledge in data science for generating side income. There are so many side income opportunities for people with a data science background for example freelancing, tutoring, teaching, blogging etc.