Big Data & Analytics

The quality of campus life at a B-School can depend on various factors such as the campus facilities, extracurricular activities, student culture, faculty, location, and more. Therefore, it's advisable to research the individual B-Schools you are interested in to get a better understanding of their campus life.
Regarding the comparison between PGDM+SAP and PGDM in data analytics, both courses have different specializations and career prospects. PGDM+SAP focuses on providing students with in-depth knowledge of SAP ERP systems and their application in the industry. In contrast, PGDM in data analytics emphasizes the use of statistical and computational methods to derive insights from data and make informed decisions.
The choice between the two courses would depend on your career aspirations and interests. If you are interested in pursuing a career in IT or technology-related roles such as SAP consultant, system analyst, or project manager, then PGDM+SAP could be a better option. On the other hand, if you are interested in data analytics, you can opt for PGDM in data analytics, which could lead to career opportunities such as data analyst, business analyst, data scientist, etc.
Both specializations are in demand in the industry, and the choice between them should be based on your career goals and interests. Additionally, you can also research the curriculum, faculty, industry connections, and placement records of the B-Schools offering these courses to make an informed decision.

As a Science student, you may not have taken courses that are directly related to the courses in a B.A. Programme, but you can still calculate your overall grade percentage using the grades and credit hours for the courses you have taken. To calculate your grade percentage for a particular course, you can use the following formula:
Grade percentage = (Grade earned / Total possible grade) x 100%
For example, if you earned a grade of B in a 3-credit course with a total possible grade of 100%, your grade percentage would be:
Grade percentage = (80 / 100) x 100% = 80%
Once you have calculated the grade percentage for each course, you can calculate your overall grade percentage by taking the weighted average of your course grades, using the credit hours for each course as the weights. For example, if you earned a B in a 3-credit course and an A in a 4-credit course, your overall grade percentage would be:
Overall grade percentage = (3 x 80) + (4 x 90) / (3 + 4) = 85.71%
I hope this helps! If you have any further questions, feel free to ask.

Yes, it is possible to become a data analyst with an arts background and a strong foundation in mathematics. Data analysis requires a combination of analytical and problem-solving skills, along with technical expertise in areas such as Statistics programming, and data visualization. If you have a background in mathematics, you may already have some of the foundational skills necessary to become a data analyst. Additionally, you can develop your skills further by taking online courses, attending workshops, or pursuing a degree or certification in data analysis or a related field. It's also important to gain experience working with data by taking on projects, internships, or entry-level positions in the field. This will give you hands-on experience and help you build a portfolio of work that demonstrates your skills to potential employers. Overall, becoming a data analyst after an arts background with Maths is possible, but it will require dedication and a willingness to learn and develop new skills.

It's a good idea to consider changing your domain if you feel that your current job is getting automated. This will not only help you stay relevant in the job market but also provide you with new opportunities for growth and learning. Here are a few steps that you can take to switch domains successfully:Identify your interests and skills: Take some time to reflect on your interests and skills. This will help you identify the domains that you are interested in and where your skills can be best utilized. Research different domains: Conduct research on different domains that you are interested in. This will help you gain a better understanding of the job market, the skills required, and the growth opportunities available. Gain additional skills and qualifications: If you need additional skills or qualifications to switch domains, consider taking courses or getting certified. This will help you demonstrate your commitment to the new domain and make you a more attractive candidate. Network with professionals in the new domain: Networking is an important part of the job search process. Connect with professionals in the new domain through social media, networking events, and online communities. This will help you gain insights into the industry and potential job opportunities. Update your resume and cover letter: Your resume and cover letter should highlight your transferable skills and demonstrate your interest and commitment to the new domain. Switching domains can be a challenging process, but with the right approach and mindset, you can successfully transition into a new career path that aligns with your interests and goals.