How can I progress myself as a Data scientist while working full-time.
Posted by Jobket on September 1st, 2019
Considering the latest hype and buzz around Data Science as a new career move, it is quite natural and obvious to think of this huge career jump.
We all know that Big Data is booming and if given an opportunity, some of us would want to turn the time turner, go back in the past and make a different career choice.
Well, you don’t have to take a toll on that because you can enter and progress into this thrilling and exuberating job even after practicing Java Programming on a full-time basis.
Let us first see the basic skills that you would need while working on Big Data:
• Hadoop
• Linux commands
• Mainframe skills, depending on the company
The transition wouldn’t be a cakewalk but let us go through a few tips that will help you transform your career and switch the course of your career. And being a Java Programmer, the jump would not involve a lot of efforts too.
DEFINE YOUR GOALS
Before taking this big step, set your goal clearly. Define them aligned with your objectives and expectations. Be sure of whether your decision is short sighted or far sighted. Consider the hard skills and time commitment. Think of the type of job profile you want to be working with.
MATCH YOUR SKILLS WITH REQUISITE SKILLS
Check out the required skills for the position you are applying for.
Let’s leave the pondering part aside and see why Java is actually the most suited language with Hadoop.
An advantage that you would have as a Java Programmer is that you would master in Java and Hadoop (Open end software for Big Data framework) is developed and written in Java. Java is considered to be the most suitable for Hadoop.
So, you would clearly be able to do Hadoop MapReduce Programming (MapReduce being a Java Programming language). Considering that only Core Java is required for getting a deep insight into Hadoop, your experience as a full time Java Programmer will give you an edge over others.
With Hadoop skills in your hand, you can master in the field of Data Science. Both Java and Hadoop are the perfect combination that is needed to give a boost to your career as a Data Scientist.
Keep a tap on your knowledge of statistics, probability and mathematics.
Apart from Hadoop, match your skills with the company’s requirements and update your skills accordingly. However, remember Hadoop is the biggest thing in this process of transmission.
Therefore, this career shift becomes a natural career transition for you.
BE OPEN TO CHANGES
As a Java Programmer, you worked on the language that put a stop to your development. However, handling Big Data with Hadoop will always give you a scope to learn and adapt as per the needs of the growing sector.
With the ball in your court, all you need is a certification. With practical real life knowledge and a certification in Hadoop, your chances of getting hired will increase, thus reducing your costs and risks of switching to a new career line.
Find below a list of places online/offline where you can adopt Hadoop:
• Udacity India
• Udemy
• Analytics Vidhya
• Madrid Software Training Solutions
• Intellipaat
You will, undoubtedly, benefit from this transition, because of the so many new opportunities offered in the Data Science field like better salary, diversity in work and more.
Sometimes, it’s difficult to find the right place for ourselves. Well, Jobket helps you to find the perfect place for you. So let’s apply together on www.jobket.in. Further, earn by referring friends and relatives that make a perfect match.
