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Can I Become a Data Scientist with No Experience?
By Arijit Banerjee
Messy data is taking the world by storm, and data scientists are the power holders of the present. Many people are trying to get themselves a piece of the action by becoming data analysts, data engineers, and data scientists. There is nothing wrong in aspiring to become a data scientist or a data analyst, but it is essential to put in the required work to qualify yourself for the position.
Coming to the biggest question of all, can I become a data scientist with no experience? Theoretically speaking, yes, you can. However, it doesn’t mean that you can teach yourself data science with some tools and directly start handling enormous volumes of data at organisations as data scientists.
Even if you do not have experience in data science or have a great degree from a top data science graduate school, you can still try your hand at data science, working your way around with the tools and trying to develop your perspective of what a data scientist should do. For all those who do not have a clue as to what the responsibility of a data scientist is, let’s have a short glimpse into it.
What Does the Work of a Data Scientist Look Like?
•Leverage mathematics, statistics, and programming tools to get valuable insights from the collected data.
•Analyse and leverage the current mood of the industry to create better user campaigns and adopt business models.
•Use data models to decide the best ways to deliver a product to the customer.
•Deliver the results of the analysis in an easy to understand manner via data visualisation tools.
•Drive complex business decisions through a data-driven approach.
What Are The Skills Required To Become A Data Scientist?
Now that you know the influence a data scientist has in deciding the direction of an organisation’s growth, let’s dwell further on the skills a data scientist must possess. The skills you gain from the work experience can still be developed on your own through specialised data science programs and practical data science training. Here are the skills you must work on to become a data scientist.
•Naturally-Skilled At Mathematics And Statistics
As a data scientist, you will be handling a huge amount of data and performing many calculations on it. Your role requires you to interpret real-world problems and provide mathematical and statistical solutions. You should effortlessly work with tables, graphs and charts, have a good grasp on solving equations and calculus, and be able to handle the statistical calculations. It is imperative that you are comfortable with mathematical operations, and carry yourself around with ease.
•Knowledge Of Essential Programming Languages
The data scientist should not only be good at solving problems but must also know the right way to execute the solution through programming languages. As data science and machine learning go hand in hand, it is best to learn machine learning algorithms and a few vital programming languages.
To start with, python is the go-to programming language for machine learning and therefore, you must learn how to implement data science and machine learning with python. Once you have mastered the implementation of algorithms for data science using python, you can gradually move on to the other programming languages like R, Java, C++, PHP, etc.
•Practical Problem Solving Ability For Real-World Problems
If you are learning through any data science course, you may be asked to find a solution to a functional business problem. Apart from the problems you get in the data science course material, you can start working on practical organisational issues on your own and find out suitable answers with data science as well. This approach will give you practical experience even if you haven’t worked in an organisation as a data scientist.
It doesn’t matter if you do not have any work experience as a data scientist when you have equally equipped yourself with all the skill-sets a data scientist should have.
So what are you waiting for? Get out there and become the best data scientist and take the digital world by storm.
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