How are Data Science and Business Analytics Related?

Data Science uses technology and algorithms combined with statistical methods to study, analyze, and interpret raw data. Organizations use the analysis of the result to identify patterns and assist business leaders in making informed decisions. By transforming the raw data, data scientists can summarize a company’s performance and its products. A data scientist can predict the success rate of the strategies undertaken by the business using their tools and techniques, which gives a reference to the company’s prospects. In comparison, business analytics aims to gain insight only from business data through statistical analysis.

Now one might think, what is a data science course, and what value can it bring to your already existing skillset? Due to the emerging need and interest in the artificial intelligence and data science field, more and more people are inclined towards taking data science courses to solve real-life problems.

What is the difference between Data Science and Business Analytics?

Data science is considered a more detailed analysis and requires higher skills, whereas business analytics is not as detailed as the former. In simple terms, data science has a broader scope than business analytics. Business Analytics is more concerned with understanding the workings of the business, whereas incorporating data science techniques in business development tries to keep the operations up a notch, more like an addition. Business Analytics is crucial in making critical decisions by management, where data science cannot be applied in the company’s day-to-day running.

The significant difference between data science and business analytics is that data science answers questions like how geography, seasonal factors, and customer preferences affect the business. In contrast, business analytics focuses on issues specifically related to business, such as incremental costs, profit margins, etc.

Career Prospects for Data Science in India

In India, there are a lot of opportunities for operations relating to data. Data science and other related fields are creating more impact on business operations using technology. Data science is a very creative and emerging career option with ongoing demand in the future.

Data science is needed in almost every other industry to make smarter decisions based on the data that shows consumer preferences and helps market the product to the right group of customers. This means that there will never be a shortage of data-related opportunities for people to make a career in this customer-driven market.

If you are an absolute beginner learning something new can be time-consuming and challenging. But with proper guidance and suitable material, everything is possible that too with ease. People that are already well versed in the subject can choose a comprehensive course to get structured and detailed knowledge about data science and business analytics.


Suppose data science interests you, and you are willing to grab more opportunities to grow your career. In that case, you can check out Great Learning’s collated, highly effective courses designed with a team of experts to help you achieve your goal. You can check here for Great Learning’s online courses on business analytics and data science.

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