PGCM Business Analytics

Bringing value to stakeholders of the company by analyzing the data to propel the business towards growth is what Business Analytics is all about.

Knowledge of analytical tools and techniques, data visualization techniques, forecasting methods and analyzing business processes is the required skill set for a successful business analyst.

Post Graduate Certificate Program Management in Business Analytics is designed in such a way that you will get expertise in the latest Business Analytics tools and techniques. This course will train you in a practical manner with real-world case studies, ensuring that you are market ready. Throughout the course, you will receive clear guidance on how to implement analytical techniques and this course will demystify data analysis and will equip you with concrete skills to apply at your workplace.

The demand and interest for data science is growing on an ever-increasing pace, but there is a gap between talent demand and availability. As businesses increasingly rely on data analytics to drive sustainable growth, the demand for skilled data scientists is soaring.

According to a 2018 report by Indeed, there has been a staggering 29% year-over-year increase in demand for data scientists. Since 2013, this demand has surged by an incredible 344%. Despite this rapid rise, the supply of qualified data science professionals has not kept pace, with job seeker interest growing at a much slower rate of just 14%.

This growing talent supply gap presents a significant opportunity for professionals looking to advance their careers in this dynamic field. MITSDE in collaboration with KPMG, is aiming to address this critical gap. The Business Analytics and Business Intelligence Certification will equip students with the comprehensive skills and knowledge required to excel in data analytics and meet the industry's escalating demands.

The Business Analytics and Business Intelligence Certification leverages the extensive expertise of KPMG's Data Science Academy. This partnership ensures that our curriculum is not only academically rigorous but also highly practical and aligned with industry demands. Here are the key features of the Data Science Academy that enhance the learning experience:

Our program is meticulously designed to cater to a diverse range of roles within the data science field. The course covers all levels of proficiency, ensuring that every participant gains the knowledge they need to succeed.

The curriculum is structured around a standard competency model for data science professionals. This model addresses various proficiency levels, ensuring that each learner can progress at their own pace and build a solid foundation in data science.

The course is led by experts from KPMG's data science practice, who bring a wealth of experience from real-world consulting assignments. This practitioner-oriented approach provides students with practical insights and hands-on experience, preparing them to tackle real data science challenges in their careers.

Flexibility is at the core of our program delivery. The curriculum is available through various modes, including virtual and online classes, in-person classroom sessions, and a blend of both. Additionally, students have access to reading materials, assessments, and labs, allowing them to learn in a manner that suits their schedule and learning style.

Learning doesn't end with the completion of classes. Our program offers continued access to experts through mentorship and project coaching. This ongoing support ensures that students can apply their learning in practical scenarios and continue to grow their skills even after the formal training ends.

We understand that each learner's journey is unique. To address this, a thorough analysis is conducted to assess the learning gap between current and required skills. Based on this assessment, a customized learning plan is prepared, tailored to the specific needs and context of each student. This personalized approach maximizes learning outcomes and ensures that students are well-prepared to meet their career goals.

The program is designed to provide 95% hands-on learning experience. This will allow you to gain practical skills in applying business analytics and business intelligence concepts to real-world scenarios.

The program covers Python and Tableau, which are the most popular programming languages used in business analytics and data science.

The program includes a 35 Hrs of live session and 5 Hrs of project component, which will allow you to apply your learnings to a real-world problem.

The program is open to anyone interested in learning business analytics and business intelligence, regardless of their background.

The program is delivered online, so you can learn from anywhere in the world.