NMIMS offers short-term certificate courses (3-6 months) designed for career advancement. These are delivered through its online and distance learning arm, NMIMS Global.

Using data, statistical analysis, and predictive modeling to make well-informed business decisions is known as business analytics (BA). In order to find patterns, trends, and insights that help businesses improve customer experiences, streamline processes, and obtain a competitive edge, it entails gathering, organizing, and analyzing data.

Business analytics can be divided into three main categories: prescriptive, predictive, and descriptive. In order to comprehend corporate performance, descriptive analytics focuses on historical data. Predictive analytics forecasts future trends by utilizing machine learning and statistical models. Prescriptive analytics enhances decision-making by suggesting actions based on insights gleaned from data.

Finance, healthcare, retail, marketing, and manufacturing are just a few of the areas that employ business analytics extensively. It aids in fraud detection and risk assessment in the financial industry. Through predictive diagnoses, it enhances patient care in the medical field. Retailers utilize it to customize marketing campaigns and maximize inventory.

Database management systems (like SQL), programming languages (like Python and R), and data visualization software (like Tableau and Power BI) are important business analytics tools and technologies. By facilitating real-time data processing and automation, cloud computing and artificial intelligence have further improved business analytics’ capabilities.