How to Learn Data Science without a Degree ? Here Some Tricks

Written By
Published on March 16th, 2021

Data Science without a degree? Sounds possible? What do you think?

No?

Instead of us answering it for you why dont you yourself read the article below and get the answer with all the possible reasons.

Data science needs various statistical, mathematical and analytical approaches which a relevant degree can help you with. The degree can be related to mathematics, physics, and computer science or engineering, as far as it provides you with the data science skills the degree is important.

Now lets talk about what if an aspirant does not have a degree, will he/she be able to get into the field of data science.

Data Scientist is just a title, masters can act as a gateway to get into Data Science. There is a great demand for analytical talent and a short of supply. If you have a master’s degree, it will be add on for you but if you don’t have, many companies will overlook this as long as you have the right skills.

Its better to take up a versatile data science course like Applied Data Science with Python Online Certification Program by E&ICT, IIT Roorkee that will help you to develop programming abilities, gain proficiency in statistical analysis, build data base models and apply all the concepts they will learn through experimental learning.

Data science fundamentals are not very difficult to obtain, and anyone with some mandatory pre-requisites like existing knowledge of statistics, programming and database concepts can do very well in data science career.

So dont be disheartened if you dont have a degree and want to pursue Data science.

YOU CAN ABSOLUTELY DO IT.

Table of Contents

Here are a few tricks you can follow to get on to your data analysis learning path without a degree:

1. Research:

You should always be fundamentally strong to pursue any field. So the knowledge of basic stats and programming should be your first goal.

2. Certification:

Take up a certification data science course that helps you get all your skills in place and gear you up for the data science career. Here is a link below to help you:

https://www.theiotacademy.co/data-science-with-python-training

3. Practical learning:

Hands on learning is a very important aspect of data science. Being a beginner you need to have some live project experience to show on resume. Unless you know how to apply your theoretical knowledge in the real world context its of no use.

4. Portfolio:

Nobody will believe if you verbally say that you have these many years/months of experience. Always build a portfolio with all your learnings and experiences that you can show in the future. They differentiate you from others in the data science interview process.

5. Soft Skills:

Soft skills are needed everywhere today and for data science, they are an important skill as if you will not be able to deliver the information to the other party. Various complex models are created in Data science which needs a lot of communication across the whole team and presenting the results of the complex process.

These were few guidelines for data science career that you can follow to start with.

Degree can only enhance your value but it is totally up to you how curious you are to learn and experiment. It depends totally on you to either fulfill your desired career dream or give up and continue to do what you were doing. This not only applies to data science careers but any and every career that you want to pursue. Degrees are simply a way to get to the interview part but then its your knowledge that gets you the job.

Now what do you think, is it possible to learn data science without a degree? Hope we were able to change your answer.