Someone with a teaching background can gain practical experience and build a portfolio in data science through several approaches. One way is to work on personal data projects, using publicly available datasets or creating their own. Participating in online data science competitions or challenges can provide hands-on experience and showcase their skills. Additionally, collaborating with others on open-source projects or contributing to data science communities can help build a strong portfolio. Seeking internships, freelance opportunities, or volunteering for data-related projects can also provide valuable practical experience in the field.
To embark on a Data Science career, acquiring the necessary knowledge is crucial. Consider enrolling in online courses like Intellipaat’s Data Science Program, which offers an in-depth understanding of key concepts. Below, you'll find a video featuring Intellipaat’s achievers who successfully transitioned into their careers. Take a look at the video for inspiration and insight.