As the world moves towards the digitization and automation of processes, more data is being collected. In its raw form, data is not meaningful to businesses, institutions, or any other organizations. For it to be useful information, data should be analyzed and processed.
Knowledge of data science helps to process big data to gain meaningful insights. Initially, data processing was done manually and this was tiresome. It also was not accurate due to human errors.
With data science, however, data processing to gain meaningful insights is done using arithmetic and logical computations on computers. This reduces the possibility of human error in processing, thereby, the insights are more accurate. It also improves the efficiency of the process, reducing time spent processing data.
Data science can be described as a foundational pillar of modern businesses. This is because it offers meaningful information that helps to drive long-term and short-term business decisions.
Data science has evolved into a multidisciplinary skill, thereby having a huge market for the skill. In this article, we shall seek to answer why you should learn data science.
1. High Value for Data
Currently, data is the most important asset a business or a person can have. In the automotive industry, the idea behind using data is to manufacture autonomous vehicles that make decisions based on existing data models.
Companies use data to improve their sales revenues, product designs, improve budget allocations, etc. These are critical factors in any business, and they, therefore, signify the importance of data for any organization.
With such significant impacts in businesses, data scientists are becoming more important in this generation. For many use cases, data scientists use existing data to create machine learning models. These models are used by computing devices to identify trends in data and gain insights from it.
Designed data models require model management services to keep the models up to date and incorporated with new data. This helps to ensure the data model stays effective irrespective of time and longevity of use.
Machine learning model management is a highly technical task that might be too much for some businesses. This is where machine learning model monitoring companies come in. They alleviate the task of managing, deploying, operating, and monitoring models from the businesses.
An instance of data used in a company is a business looking to improve its marketing methods. The company can have a data scientist design a machine learning model for monitoring the marketing numbers.
The machine learning model can generate reports to show the most successful marketing methods. The company will then allocate more resources and time towards the most successful marketing method to make the most of it.
Businesses that ignore their data and make decisions that are not data-driven often end up in ruins or closed.
2. High Market Demand & Lucrative Career
As discussed above, data is very crucial in this century. The demand for more data scientists is rising as different organizational processes dependent on data are also rising. Studying data science will ensure that you secure a well-paying job in this data-driven society.
Another significant advantage of learning data science is the versatility it offers when it comes to choosing jobs. There are many jobs that a data scientist can apply for. These are:
- Data Engineer
- Data Architect
- Big Data Engineer
- Data Visualization Developer
- Business Intelligence Engineer
- Data Analyst
Though they are all sub branches of one course, data science, they entail slightly different job responsibilities. This, therefore, means that someone who has done data science can apply for a job in a specific area where one is proficient in.
The average base annual salary of a data scientist according to Glassdoor is $110,000. Considering that this is the average base salary, this signifies how good the pay in a data science career is. Adding up with the fact that job opportunities in the data science field are plentiful, taking a course in data science will offer a bright future for you.
3. Work in Various Industries
The significance of data in modern businesses has made data science an interdisciplinary field. This provides a unique opportunity for data scientists to work in the various industries they are interested in.
An example of this is a person whose hobby is automotive racing, can choose to work in the racing division of an automotive company. The available industry options for a data scientist are vast and endless.
A recent report stated that about 43% to 53% of the workforce in most businesses are bored. Oftentimes, boredom at work results from working in a field that you are not interested in.
The versatility of data science provided a unique opportunity to ensure that, unlike other careers, data scientists do not get bored while working. It does this by offering the opportunity to work in an industry that one is interested in.
4. Impact the World Positively
When looking at data science as a field, most people often look at it as a business intelligence tool only. However, data science is much more than just a business intelligence tool. Data science can be used to impact society positively in other means.
Data science is being used by many social organizations and philanthropic organizations to offer products that help society. As a data scientist, you can work with such organizations to help make the community and society around you a better place.
A perfect example of this is the use of predictive analytics in healthcare. Data scientists have developed systems that can predict the occurrence of illnesses in people based on their history, lifestyle, and family history. Such systems have helped to detect conditions in their early stages, helping save countless lives.
Due to the growing importance of data in businesses, the job security offered by data science is remarkable. As a data scientist, you are assured that your future is secure while working in this field.
Data science is a career secure from the cases of jobs becoming obsolete due to process automation.
A career in data science will offer a bright and stable future for you. With this in mind, it is good to note that this is the perfect time to take up a course in data science. The job is still not yet fully established, as evident from the lack of enough professionals in the field. Studying data science now will therefore offer a quick job.