We are again here with a new interesting Topic that is data Science and Business Analytics. To enhance your knowledge graph Data Science uses structured and unstructured data to isolate knowledge and insights by using algorithms, scientific methods and processes while Business Analytics uses structured data to explore insights on past business by applying skills, practices and technologies. If we talk in terms of career then surely business analysts can earn a higher annual package then data science.

So definitely Business Analytics is a good option to proceed with the career. It might require python programming at some place as all analysts are not dealing with quantitative data.Being a Business Analyst will give you frustration somehow but at the end of the day it is satisfying. As per US statistics the average paid salary of data scientist is $100,560. Astronomer Tobias Mayer was the first data scientist and by using spherical motion trigonometry he explained the motion of the moon.

European countries such as Germany, UK, France, Netherlands, Spain, Italy, and Switzerland are the top countries to work as a data scientist. You need to be skilled in programming languages like C/C++, SQL, Python, Perl, and Java. Python is the most common coding language that is required in data science roles.

So you need to boost your career in terms of Data Scientists and Business Analysts. Think and rethink about it and develop your skills and practice as hard as you can to reach the sky.