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Post Graduate Program (PGP) in Business Analytics

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Published on Mar 13, 2023
PGP in Business Analytics Business Analytics is a rapidly growing field that has a high demand for skilled professionals. With the increasing importance of data-driven decision-making in business the need for experts in Business Analytics is becoming more critical. Graduates of the Post Graduate Program (PGP) in Business Analytics by Aegis School of Data Science are well-equipped to meet this demand and launch their careers in this exciting field. The job opportunities in Business Analytics are vast and diverse ranging from data analysts business analysts HR analysts marketing analysts operations analysts financial analysts data analysts data scientists and more. These roles can be found in a variety of industries such as finance healthcare retail e-commerce marketing and more. With a PGP in Business Analytics graduates can expect to be highly sought after by companies looking to leverage the power of data to improve business operations gain insights into customer behavior and stay ahead of the competition. Graduates will be equipped with the skills to collect analyze and interpret data create predictive models and develop data-driven strategies. In addition to traditional full-time roles there are also opportunities for graduates to work as consultants or freelancers providing their expertise to a variety of organizations on a project basis. Furthermore as the field of Business Analytics continues to evolve there is ample opportunity for graduates to move into leadership roles within organizations. Overall a PGP in Business Analytics from Aegis School of Data Science provides graduates with the foundation and skills necessary to succeed in this dynamic and rewarding field. Eligibility requirements for most programs include: - Bachelor's degree in any discipline from a recognized university - Strong quantitative skills including mathematics and statistics - Basic knowledge of programming languages such as Python or R - Good communication skills in English - Relevant work experience in data analysis or related fields may be preferred but not always required
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