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Top 10 Advance Java Interview questions?

Top 10 Advance Java Interview questions?   What are the differences between abstract classes and interfaces in Java? What is the difference between ArrayList and LinkedList in Java? What is the purpose of the finalize() method in Java? What is polymorphism in Java and how is it achieved? What are the different types of inner classes in Java? What is the difference between static and non-static methods in Java? What are the different types of exceptions in Java and how do they differ? What is the difference between checked and unchecked exceptions in Java? How does Java handle multithreading and synchronization? What are the different types of JDBC drivers in Java and how do they differ?
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How Can You Transfer your career to Data Analytics?

 How Can You Transfer your career to Data Analytics?

No matter what field you come from and what work experience you have, you can steer your career into Data Analytics. If you are still wondering what your next steps should be, here is a comprehensive guide that you can refer to. Based on your background, what skills you need to pick up to transition to a data-driven profession, we list down what you can expect!




Are you a Fresher?

The good news is that a lot of companies tend to hire fresh college graduates and train them in-house. They need an unbiased, fresh pair of eyes to look at their business problems. As a fresher, you don’t have any baggage, and the biggest advantage is that, as a professional, you can be molded in any way. Make yourself conceptually sound in statistics, learn relevant tools and languages to demonstrate your skillset. 

If you have technology experience, for instance in software engineering, or if you are an IT professional, then you certainly have a big advantage. This is because you already have the programming experience required and most likely some domain experience as well. All you need to do is pick up statistical knowledge to become a complete data professional in your own domain.

With this background, a data engineering role would be the easiest for you to switch to because it requires a good knowledge of data structures and programming languages.
If statistics excite you then a business analyst or a data analytics specialist role is also worth considering, because these roles require a lot of application of analytics and statistics. You should also focus on honing your soft skills as well as obtaining a mastery of tools like Excel or Tableau which will complement your presentation abilities. You already have strong domain knowledge. You can start as a data visualizer or a data analyst. You can start by learning the applications of analytics in your domain and pick up the technical and statistical skills.

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