First of all, preparing for placements is a continuous process. You should never make this mistake to pile up things for the last moment. You should start preparing by brushing up your existing knowledge from the initial days only. In the final month of placement, you should only revise the concepts both basics and advanced. Here are some of the resources that you can follow for your preparation. 

• InterviewBit: It’s a very useful website that may help you in practicing coding. You will get a good idea about the standard of questions that the companies ask.
• GeeksforGeeks: For data structure, the best source to study is geeks for geeks. It’s a complete portal for CS/IT students. You can also refer to books such as Introduction to Algorithms” by Charles E. Leiserson, Clifford Stein, Ronald Rivest, and Thomas H. Cormen.
• For Operating Systems, books like “Operating System Concepts” by Abraham Silberschatz, Peter B. Galvin, and Greg Gange. Modern Operating Systems by Andrew S. Tanenbaum is good.
• For Databases again the NPTEL course by Prof. D. Jankiram of IIT Madras is very promising. For short notes, you can refer to GeeksforGeeks.
• SQL queries can be learned from GeeksforGeeks and can be practiced on Hackerrank.
• For Networking, basic knowledge is required. “Computer Networks: A Systems Approach” by Larry L. Peterson will be helpful for you.

You can go through two websites, i.e. GeeksforGeeks and Glassdoor to learn about interview experiences. 

There are quite a few good professors at XIMB that will leave an everlasting impact on you during your time as a student here. Everyone is quite well versed with IC Sir’s enthusiasm, Prof. NG Nayak’s wittiness, and Ramana Sir’s sincerity. Some of the most reputed faculty members among students are as follows.

• Prof. Subhasis Ray: He has inculcated the love for marketing in his students. He also goes the extra mile to ensure that his students learn the subjects. He earned respect and no one dares to disturb him during his class.
• Fr. Aloysius C. Jesurajan: He teaches Managerial Communication. None of the students dare to open their mouths to speak during his class. He is dedicated enough to take an informative session for 88 minutes of his 90-minute lecture and will take attendance for the last 2 minutes.
• Prof. T. Kumar: You will get to learn basic sociology with him during your first year. The subject is quite bland and theoretical but Prof. Kumar took the effort to break it down into concepts that we can actually apply. His teaching made the subject more interesting. His unassuming humor is just another plus.
• Prof. Jeevan J Arakal: You will probably have his class in a later term of your first year. You will definitely enjoy his classes but the deadlines he sets are naturally feared for among the students.

You will get to learn from really dedicated faculty and enjoy your lectures at XIMB. 

One of my close friends recently got admission to NITIE Mumbai. In the interview, he was asked mostly about his final year engineering project and his work experience, education, and about his skills. To clear your interview you will have to prepare very hard and will have to practice a lot. Here are a few things you should do for your preparation.

• Introduction: You will be asked to introduce yourself. So prepare a good introduction about yourself where you should cover all the major points you want to highlight. Tell them about your academics, hobbies, extracurricular activities, and also about your personal life. 
• Project: You will be asked about your graduation project. So you should know everything about the project. They will ask about the topic, project objective, your contributions, and what were the achievements. 
• Work Experience: If you have any prior work experience, then they will ask questions about it. There will be questions about your job role, your experience, and your achievements. And if you are a fresher, then prepare 3-4 engineering subjects, as they will ask you questions based on that.
• Current Affairs: Stay updated with current affairs. Read newspapers, magazines and watch the news regularly. This will help you in GD too. 

NITIE has a mock admission process called B-Cube. This will give you an idea about the GD and Interview. 

When it comes to choosing one between BIET Jhansi and KNIT Sultanpur, a short and simple answer would be KNIT Sultanpur. To elaborate, KNIT Sultanpur is far better than BIET Jhansi keeping in mind the following factors:

1. Faculty
2. Infrastructure
3. Placements

When it comes to fees, there is not much difference. The fee structure of the institutions is quite similar. But, since KNIT Sultanpur is a government institution, it provides scholarship to its deserving students. It is easy to avail of the scholarship, considering the fact that you fulfil the criteria required.

KNIT Sultanpur exposes you to different kinds of forums. These forums will contribute to enhancing your skills and knowledge as well as will be helpful in self-development. This way you will be occupied and barely have time to waste. Also, there are many short term training programs within the campus of KNIT Sultanpur which will help you in gaining practical knowledge.

My brother is doing his PGDBA from IIT KGP and he was rather afraid of programming and coding when he started the course. If you're stuck in the same situation, then my only advice is to enroll in the course with an open mind and a desire to learn to program if you don't already know-how. 

Coding Experience: There is always a first time of everything. Now there are numerous MOOCs available online that can assist you in taking the initial step. The discipline of analytics (technical side) necessitates solid coding abilities, and therefore if you want to pursue a career in analytics, you should start learning the necessary skills now.

Work Experience: It is not necessary to have prior work experience to enroll in the course. However, relevant analytical experience aids in extracting greater value from the course. 

According to your assessment of your interests, you have a preference for fields involving mathematics and statistics. Analytical science is an excellent fit in that regard. I would recommend that you go into MOOCs like Coursera, audacity, and your willingness to learn more about this field. You will obtain a better understanding of the field and would be able to decide if this is a good fit for you or not.