Decoding Bachelor of Data Science Engineering as an Emerging Course

With the growing demand of data across the globe, Data Science engineering as an emerging course would help in understanding data to provide insights for data-driven decision making. 

With the advent of new technologies, the prospect of having a variety of successful career options has expanded. Now, the career choices are not limited to the archaic societal norms especially in the field of science and analysis. As data has a huge demand in every sector, the jobs linked with it have a higher probability of getting recognized in the industry. Youngsters are now inclined towards choosing a job that would not only give them satisfaction but would also enhance their skills. 

The courses pertaining to data science has been observed to be emerging over the years. Data Science Engineering is amongst one of them. All the big corporations like Amazon, Tencent, and Microsoft are trading with understanding and using data for making sound decisions. The necessity for understanding data is now not confined to the IT industry. Businesses around the globe are using data science for forecasting trends, models, understanding customer behavior, and strategizing the internal infrastructure that would prove lucrative in the competitive world. 

LinkedIn's "Most demanded Jobs for the year 2020" has listed Data Engineers and Data Scientists amongst the top Priority. This means with the growing demand for data science, a surge in the jobs associated with data science can be seen over the next few years. 

What is Data Science?

Data science is an interdisciplinary branch of science which utilizes algorithms, data analysis, data collection, and visualization, for getting insights about the raw data. It segments structured and unstructured data and provides relevant insights. This employs the process of artificial intelligence, deep learning, machine learning, and predictive analysis.

Skills Required For Data Science

Data science is bringing a breakthrough across sectors such as healthcare, e-commerce, content streaming, businesses, automobile, and Telecom. With the plethora of raw data available, it becomes difficult to sort out the relevant information. That's where the knowledge about data science becomes imperative. 

An example of the application of data science would be in the retail sector, where the relevant data and insight can determine the customer's expectations regarding a particular product. In the healthcare sector as well, data science is being used in finding drugs for Alzheimer's and Parkinson's disease. 

With a crest in technological advancements, the handling of data requires high skill, so that the expected results can be delivered. These skills include thorough knowledge about Natural Language Processing, Algorithms, Python, and Hadoop.

Data Science Education

The universities such as Harvard, Yale, Columbia, and others across the globe are offering an undergraduate degree for data analytics and data science. Apart from this many online platforms such as udemy and Coursera are also offering courses that would enhance the data science skills. These courses focus on the practical application of mathematics, statistics, computer programming, data analysis, and algorithms for understanding data.