Data Analytics

Well, you must have heard that "Data Scientist is the sexiest job in the 21st Century". That alone is a statement enough to give you the idea of why it is a good career option. Although you should choose this career option if you are genuinely interested in this field. You should have some background in programming and keen towards learning & paving your path in Data Science. Do not just consider this field just because it's one of the best options with a very good salary package. Data Scientists play a very important role in the Industry right now with its demand increasing day by day in various fields. Let's look at the use of Data Science in various fields:
Data Mining: Mostly associated with Data Mining, Data Science involves several work-stages, including Data Wrangling, Data Mining and Data Acquisition. Mostly incorporated with Feature extraction and Feature selection, Data Mining is the process of establishing various inferences and relationships between variables in a large data-set. Data Analytics and Data Visualization: Data Analytics and Visualizations is a huge commercial sector under the domain of Data Science. Analyzing Data-points and visualizing it with effective tools like Tableau, D3. Js, etc., is the process incorporated in the same. Machine Learning: The new sensation in the field of AI and intelligent systems, Machine Learning is surely taking technology by storm. Machine Learning is the process of building predictive models or intelligent systems by training it against previous structured data. Business Intelligence: Data Science also has a huge hand in the commercial sectors for financial modelling, risk analysis, credit-generated bank reports, loan allowance predictions, etc. The reasons why Data Science is a great career option for you are:
Demand for Analytic Professionals
Huge job opportunities in the field according to the skills possessed
Great salary
Big Data has huge priority in a lot of companies and organizations
Analytics playing a major role in decision making
Data Science has applications in the very field which is data-driven including Bio-informatics, Medicine Sciences, Mass-Production Systems, BigData Technologies, Cloud Computing, Agriculture, Stock Market, Research in fields of drugs discovery, machine learning and AI. It's a huge market with very few people who are proficient in the same. You can read this article on Forbes which lists out the reasons to why Data Science is a great career option.

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.