Switching from a non-IT background to IT is now easier than at any time before. The reason? Companies today focus on skills-first hiring—not degrees.
And Data Science is one of the fields where non-IT candidates can enter the fastest.
Skills required for Data Science:
- SQL (Beginner-friendly)
- Excel (Most people already know the basics)
- Python (Easy to learn)
- Power BI/Tableau
- Problem solving
These skills are very easy to learn even for students from a non-technical background.
Although the Data Science field is technical overall, entry-level roles such as Data Analyst, Business Analyst, Junior Data Engineer are perfect for non-IT candidates.
Salary growth:
Entry level: 4–7 LPA
Mid-level: 8–15 LPA
Senior + AI roles: 15–30 LPA
Why Data Science is perfect for non-IT candidates:
- Not heavily coding-based (basic Python is enough)
- High demand
- Work-from-home opportunities
- Career stability
- Rapidly growing industry
Talentele follows a beginner-friendly Python, SQL, and Data Analytics roadmap for non-IT students, enabling a potential job switch within 3–6 months.