Big Data & Analytics

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.