Finding the differences between data science and data analytics might not be an isolated query just for professionals. Internet use has increased by 70%, and making the appropriate use of data essential has become a common practice. The sectors of business, healthcare, entertainment, manufacturing, transportation, banking, and others, precisely monitor data to make business decisions. As a result, there is nothing but growing opportunities in these fields. Even the general public will soon use some of the technologies and strategies to use data more effectively and efficiently. That’s why learning the difference between business analytics and data science is relevant to many.
What is business analytics?
Business analytics bridges the gap between information technology and business by using analytics to provide data-driven recommendations. The business part requires deep business understanding, while the analytics part requires an understanding of data, statistics and computer science.
What does a business analyst do?
According to LinkedIn Talent Solutions, a business analyst acts as a communicator, facilitator and mediator, and seeks the best ways to improve processes and increase effectiveness through technology, strategy, analytic solutions, and more.
What is Data Science?
Data science is the study of data using statistics, algorithms and technology. It is the process of using data to find solutions and predict outcomes for a problem statement.
What does a Data-Scientist do?
Data scientists apply machine-learning algorithms to numbers, text, images, videos and audio, and draw various understanding from them. According to Hugo Bowne-Anderson writing in the Harvard Business Review, “Data scientists lay a solid data foundation in order to perform robust analytics. Then they use online experiments, among other methods, to achieve sustainable growth.”
Finally, they build machine learning pipelines and personalized data products to better understand their business and customers and to make better decisions. In others, in tech, data science is about infrastructure, testing, machine learning, decision-making, and data products.”
So, what is better for you?
Business analysts take a hands-on approach to their work by having to interact and manage the data while data scientists tend to focus more on data’s development. As we see it, a business analyst can transition into a data science role with more training hours and experience.
