Step Build a Portfolio
Learning theoretical concepts is not sufficient to become a Data Scientist with No Experience. You need practical knowledge and experience. While you don’t necessarily need industry experience, you still need some work experience. This is where your portfolio will be of help. Work on Data Science projects on your own and build your portfolio.
When you sign up for Data Science courses with reputable organisations, the training course will include exposure to industry. This may be workshops, internships, or other projects where you can work on real data sets. You can also take up Data Science projects and post them on GitHub. This will show the hiring managers that you have practical experience with Data Science concepts.
You can refer to this article – How to Build an Impressive Data Science Portfolio?
How to Become a Data Scientist with No Experience
Are you wondering how to start your journey to how to start your journey to become a data scientist even if you have never done it before? Don’t worry, This article is designed to help you kickstart your journey toward becoming a successful Data Scientist, even without your experience in the field.
Data Science is an in-demand career field with excellent job prospects and the potential for high growth. Organizations worldwide realize the power of the data they collect. Artificial Intelligence (AI) and Business Intelligence (BI) tools derive value from such data. They need Data Scientist professionals to use multiple data processing methods to prepare the data for AI and BI software consumption.
A Data Scientist analyses and interprets data and uses data analytics tools to enable organizations to improve decision-making. A strong background in statistics, mathematics, and computer science is expected. As per the Bureau of Labor and Statistics, Data Scientist jobs are expected to grow by 35% from 2022 to 2032, much faster than all other occupations.