The three-month online program spans 180 hours of learning and includes live online classroom sessions with industry and analytics experts.

Students can learn at their convenience with 24/7 access to e-learning content and program videos through EduNxt, the award-winning learning management platform.

The highly experienced faculty use a hands on approach, discussing real life case studies and examples. Mock tests at the end of each module serve as self-assessment exercises to evaluate the student’s learning.

The advent of information technology has led to a flood of easily available data on consumer behaviour and spending patterns.  Data from social media platforms, surveys and instant consumer feedback allow businesses to customize or tweak their products and services, and innovate to cater to customer requirements.

Effective use of this data leads to remarkable business results. It also spurs product innovation and optimization of supply chains.

The overwhelming volume of data, however, means that businesses are unable to fully exploit or leverage this information without the help of data analytics. 

Competitive strategies built around data-driven insights are possible only with quantitative and statistical analysis, along with predictive modeling. This has necessitated the demand for certified Business Analytics professionals in the industry. Harvard Business Review described Business Analytics as one of the ‘sexiest jobs of the 21st Century’.

According to the annual Analytics India Salary Study 2015, the average salaries of business analysts range from Rs 3.5 to 5.5 lakhs per annum at the entry level.  From Analyst (0-3 years) to Senior Analyst (4-6 years), an analytics professional can expect almost 75% average hike in the salary, it says.

 

The course offered by Manipal ProLearn grooms students with a variety of skills, tools and techniques to understand data, examine business problems and bring about key business solutions in a structured manner. Some of these include:

·         Importance of data in business analysis and sampling techniques

·         Using Business Analytics to build prediction models

·         Understanding customers better through Social Media Analytics

·         Undertaking research at lower costs and in lesser time