Before initiating the transition, one should know the difference between the two positions. primarily deal with data to identify trends, generate reports, and assist companies in making decisions. They utilize tools such as Excel, SQL, and simple data visualization software to generate reports and graphs.
By contrast, data scientists employ more sophisticated methods. They process large and complicated sets of data, develop machine learning models, and develop algorithms that can predict future consequences. Data scientists also know programming languages such as and R, which they use to process and analyze data. Knowing these differences will enable you to understand what skills you still need to acquire.
