Course Curriculum Overview:
So, in my point of view, I have chosen data science because it is the future. I have been told this a million times because the future world is going to depend on data. So, studying data science will be more helpful for me to grow even more in the future. So, I have chosen data science. So, in the curriculum to face the real-world challenges, it's a question mark because we will be taught all the tools and techniques required for the data science. And it is in our personal interest and knowledge how we are using it in the real world. So, there are also very less companies coming for data analytic role because they always need experienced people for such roles. But the fact is that we have to get a job to get the experience, right? So, getting a job as a fresher data scientist is a bit tough. If you have a very much passion and interest into becoming a data scientist, these tools and techniques that taught in this curriculum will be more helpful for you to develop yourself in the field. And they are just a basic effect to you and it's up to your interest how you are implementing it in the real world. So, talking about the exam system, it is quite stressful because we only have four months for us and one month will be on leave. So, on the first month, we will be facing CA1. But at that time, we don't even have a knowledge how the subject works. So, it is a difficult thing to get understood. And on the second month, we get the CA2 and on the third month, we will be having the models and on the fourth month, it is the semester exam. So, the difficulty and the challenges in coping up with this system is a bit tough. So, reducing the exam and improving potential classes may be a good solution for this problem because difficulty will be different level for different people. So, reducing the exams and increasing the hands-on training will be more valuable and useful for the students.
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