Data Analytics

It is a type of computing, which involves sharing of computer resources rather than using local servers or dedicated devices for processing. In simple words, it is the process of storing frequently used data on multiple servers which could be accessed by using the Internet. Various services like servers, storage and applications are provided to the users computing devices via Internet. Some good examples of using Cloud are:
Drop box: An online storage providing free storage to the users. Google: Letting the users to create documents and calendars for free. I Cloud: Free Storage for Apple & Mac Users. Need of Cloud Computing:
Cloud computing is now becoming a business standard. It simplifies the user's accessibility. It provides a virtual storage space to the user which could be used without bothering about the details of the entire mechanism. Here are some other reasons why every enterprise might need cloud computing for their business:
Cost savings - Cloud computing removes the requirement of a company to invest in storage hardware and servers. Focusing on the business -Since all the services will execute over the internet, a company does not have to bother about technical issues and other problems associated with physical storage and backup. A company can thus focus more on their core business. Performance - It delivers reliable performance irrespective to the geographical location of the user. Another key feature could be the automatic updating of services and applications. Security - Cloud Computing offers optimum security which protects you against any unauthorized access, modification and loss of data. Flexibility - Even if part of the cloud environment fails or stops working, the other resources continue to work until the problem is fixed. https://www.shiksha.com/it-software/articles/top-specialisations-you-can-opt-for-after-bca-blogId-12966.

You Should go to Ireland because-
English languageAlthough Irish Gaelic is recognised as the first official language of the country, only 36% of the Irish population actually know it. 94% of the population know English, with it being the second official language. The Irish accent and dialect may be a little overwhelming at first, but you will soon get used to it. Living, studying, and working in Ireland is a great way to improve your speaking and listening ability in English. Post study visa
One of the major benefits of studying in Ireland is the post-study visa. This makes it easier for students to look for job opportunities in the country after they graduate, and once they have a job, they are then eligible to apply for a green card/work permit. In addition, the Irish government has also agreed to extend the stay back option to two years from one year for non-EU/EEA students who study at level 9 or above in the national framework. Why Not UKHow easy is it for international students to work in the UK? For non-EU students, the rules on moving from a student visa to a work visa are pretty strict. Essentially youve got to have a graduate job, with a graduate salary, with a licensed Home Office employer. These criteria are hard to meet. For starters, the graduate salary needs to be a minimum of 20,800, which for a first job is pretty difficult, especially outside of London. We had a student with an M.Sc. In marketing who was offered a job with a top firm as a marketing assistant. But that is not a graduate job youve got to be a marketing manager, explains Scott. And you cant just work for a little tech company down in Hackney. Currently, non-EU students can work part time for 20 hours a week and full time in vacations. If they go to a private college, there not allowed to work at all. This was one of the measures introduced last year in a Home Office crackdown on visa fraud, targeting students at bogus private colleges.

Dear Manish,
Well, you can learn in multiple ways, some people learn everything online while some join programs and courses to become a data scientist. I think one needs to cover a certain topics online while certain topics can only be learnt in classroom training module.
Python Basics, Intermediate and Advanced statistics, Probability and Linear Algebra, Linear Regression, Time Series and Cost Function, Types of Data & Exploratory Data Analysis, Collecting, extracting, querying, cleaning, and aggregating data for analysis, Data Sources, Cleaning and Wrangling, Working with APIs and Web Scraping.
These will help you learn the advanced topics of data Science faster and in depth. I would always recommend data Science aspirants to go for a programme which is classroom-based, instructor-led and heavily practice driven. You will come across a lot of institutions, courses, programs that will help you learn data Science. Some are way expensive while some are reasonable. But, one very important thing to keep in mind while you are enrolling for such courses is to know the worth of it in terms of knowledge and what at the end of the course you are developing within yourself. Remember: "80% practical & 20% theory".
Hope this helps.

Placement Wing
The college has very good placement cell. The placement and job opportunities are quite decent. There are lots of opportunities in this college. A lot of core companies and non-core companies come for placements and students generally, prefer the non-core companies. Around 90 companies have visited our campus for the placements. Around 100% placements is achieved for Computer Science and IT students.
8/10
FACULTY
The faculty is one of the most experienced and best faculty. Faculty in our college was highly qualified. They all were Ph.D. Degree holder. All the faculty members were having best teaching experience. They are professional and helpful in career growth.
8/10
CAMPUS LIFE
My experience for the college life is too good that I have learn number of things. The environment, especially at Institute Campus, was cool and amazing.
7/10
COURSE CURRICULUM OVERVIEW
The course is for 2 years and 4 semester based the first semester with 6 subject and 1 lab and 1 seminar. The second semester with 6 subject and 1 lab and 1 seminar. The third and fourth semester with project work and comprehensive viva. Courses are good and full of interest it would provide you with enough knowledge to become a professional in your field and will give you enough experience to go forward in the field.