Ever wondered how your computer knows exactly the type of content you would prefer while you logged onto your streaming service?
Data science and analytics help gather, analyze, and process raw data to make conclusions that further guide business decisions. Machine learning alone is not capable of making personalized movie or music recommendations. Thanks to data science.
Professionals skilled in data science, Python, and machine learning have doubled in the last three years. It is a field that will keep rising. What’s even more interesting is that data science professionals are earning much more than the other tech field candidates.
Besides salaries, even the need for data professionals is on the rise.
However, the deficit of data scientists is becoming a serious constraint for businesses.
Don’t you think it is time for us to rethink our strategies and channel talents to the business pool?
Capitalizing on data science means making the right decisions in hiring the right talent. This can be achieved only if aspiring data scientists start upgrading skills in the latest technology the industry is willing to hire.
Around 50 million devices to be connected to the internet globally, wherein each device will generate around 90 percent of the world’s data within two years.
Now, these data will be used to extract insights useful for businesses. This will give the business an added advantage to ensure they have skilled enough workers to analyze these data.
Below are some of the trends in data science you must watch out for in 2021 and beyond –
Professionals with technical skills and work experience might need to get themselves trained to gain hands-on experience in the field. The expanding scope of data science now allows students to curate their education based on their career goals.
Online training and certification programs are best equipped for candidates seeking to gain skills in the latest technology. Not only will they gain practical experience but also get to work with real-world problems.
If we look back in the day, a mere 15 percent of households owned a computer. In 2019, nearly 96 percent of people in the U.S. owned a cellphone. Thus, as technology increases, the barrier to using technology will lower as new tools emerge and ways how people analyze data improves.
Career options for those skilled in data will increase. On the other hand, we’re also seeing that data literacy is becoming a need for everyone. Understanding how to use data, make business decisions, and the limits of using data have become the core skill for everyone.
With the world becoming more data-driven, making people understand data will become challenging. This is where visualization and storytelling play a significant role. For this, the individual needs to be highly skilled in using data visualization tools like Tableau, ggplot2, and FusionCharts to represent data in the form of graphs or charts.
Though data and analytics is a new field, the need for professionals in the field is outpacing the supply. As the data field matures so will the job roles in this sector diversify. Making use of data to make business decisions requires a set of skilled professionals in data science. As a data science professional, the individual’s task is to invent algorithms and find new approaches to analyze data.
Perhaps it is now becoming clear why the term “data science” is now being adopted by every industry worldwide.