While there may be some overlap in their roles and responsibilities, there are distinct differences between a Data Analyst, Business Analyst, Data Engineer, and a Data Scientist. Here are some general descriptions of each:

1. Data Analyst: A Data Analyst is responsible for gathering, processing, and performing statistical analyses on data. They may also be responsible for creating reports and visualizations to help business stakeholders understand trends and insights in the data.
2. Business Analyst: A Business Analyst focuses on identifying business problems and proposing solutions through data analysis. They may work closely with business stakeholders to gather requirements and help define project goals. They may also be involved in identifying and recommending new business opportunities.
3. Data Engineer: A Data Engineer is responsible for designing, building, and maintaining the infrastructure needed to support data processing and analysis. They may be involved in designing data pipelines, managing data storage, and developing tools and processes for data access and retrieval.
4. Data Scientist: A Data Scientist is responsible for identifying business problems that can be solved through data analysis, as well as designing and implementing statistical models and machine learning algorithms to extract insights from data. They may also be responsible for communicating insights to non-technical stakeholders and developing strategies for data-driven decision-making.

While the specific roles and responsibilities may vary depending on the organization, these are some general differences between a Data Analyst, Business Analyst, Data Engineer, and Data Scientist. It's worth noting that these roles may also require different skill sets, with some overlap in areas like statistics, programming, and data analysis.

Data Science and AI PG Program is one of the most suitable Program for a Fresher, Looking at the demand. The Demand for Data Science professionals is very high in today’s corporate world. Also, It is easier to learn and master Data Science Fundamentals even for a complete Non-coder.

In any case, If you fail to complete the course in a specified time of 11 Months, You can take extra time for completing your course. If you are stuck with the Projects or assignments, Our Teaching assistants and Instructors will help you to complete them as soon as possible.

Apart from that, If in the middle of the program, you meet with some uncertain circumstances, such as an accident or any kind of medical emergency then we will provide you a fresh batch as per your convenience.

Or, If you are unable to focus on the Lectures due to work pressure in the office or some personal reasons such as Marriage/Vacations/Family functions etc, we will provide you with Recorded Lectures. If you get stuck with the recorded lectures, you can avail personalized doubt sessions as per your convenience.

Yes, Every Candidate who completes the Program, receives a Course Certification. The Students also receive Certificates for their Capstone Project.