Skip to main content

Featured Post

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?
Post a Comment

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.

Labels:

Comments

Post a Comment

Popular posts from this blog

WHAT ARE NEURAL NETWORKS? | Comingfly

WHAT ARE NEURAL NETWORKS ? Neural Networks the process of machine learning are neural networks. These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers. During training of these neural networks, the weights attached to different inputs will continue to be varied until the output from the neural network is very close to what is desired, at which point the network will have 'learned' how to carry out a particular task. A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with a huge number of layers that are trained using massive amounts of data. It is these deep neural networks that have fueled the current leap forward in the ability of computers to carry out task like speech recognition and computer vision. T here are vario...
6 comments
Read more

What is Go Language ? | Comingfly

What is Go Language ? What Go Language? :- v    Go is a modern, general purpose language. v    A new ,Open source Programming language. v    Concurrent , Builds fast at scale. v    Go language is very fast. v    Garbage-Collected. v    Lightweight syntax. v    Simple type system. v    Productive. v    Simple. v    Fun History of Go language :- Go language developed by Rob Pike   and Ken Thompson. More than 250 contributors join the project.   Design began late in 2007.   Become open source in 2009.   Version is 1.2.2. Feature of Go language ? v   In the current world, languages don't help enough. v   Computers fast but software construction slow. v   Efficiency. v   Safety. v   Speed. v   Concurrency. v   Scalability. v   Fast development cycle. v   No surprises. v   Multi-core Why Developed a Language ? Google has bi...
5 comments
Read more

What is Java? | Comingfly

What is Java? Developed by Sun Microsystems in the mid-1990s, Java was originally built to be a high-level and object-oriented programming language that looks and feels similar to C++. Along with being extremely popular, Java can implement a wide variety of algorithms, which are very useful to the machine learning community. Java is regarded as one of the most secure programming languages, largely due to its use of bytecode and sandboxes. Java manages to harness much of the power of C++ while overcoming its security issues and overall complexity. But with all of its improvements over C++, Java has a reputation for being slower than many other programming languages. Additionally, as of 2019, Java has implemented commercial licensing for certain business applications, which can be costly.
Post a Comment
Read more