Data Science

Python is not strictly mandatory to begin learning Computer Vision, but it is the most commonly used language in this field. Most Computer Vision libraries such as OpenCV, NumPy, TensorFlow, and PyTorch are designed to work smoothly with Python, which makes learning and implementing concepts easier for beginners.

If a student has no prior experience with Python, they can still start learning Computer Vision. The essential Python basics can be learned alongside the initial CV concepts. Many institutes, including Skills IT Academy, introduce foundational Python skills before moving toward advanced Computer Vision algorithms.

In summary, Python is not an absolute requirement, but having basic Python knowledge provides a strong advantage and makes the learning process more efficient.

Internshala's Data Science course with placement guarantee is considered one of their best offerings because it provides structured learning from basics to advanced topics, hands-on projects, and dedicated placement support with a refund policy if you don't get placed. Students appreciate the beginner-friendly curriculum covering Python, SQL, Excel, and machine learning, along with mock interviews and resume assistance.​

However, if you're looking for a more comprehensive programme with deeper industry exposure, I'd recommend exploring the IIM SKILLS Data Analytics Master Course. It's a 6-month live, instructor-led programme taught by ex-IIT Mumbai experts, offering advanced tools coverage including Power BI, R, and AI, along with one-on-one mentorship, guaranteed paid internship, and placement assistance with 550+ hiring partners. The personalized mentorship and flexible online format make it ideal for serious learners aiming for high-paying data Science and analytics roles.

IIBM Institute offers data Science training programs, but when selecting a course, it's important to evaluate factors like curriculum quality, placement support, faculty expertise, and hands-on learning opportunities beyond just internships.​

If you're looking for a comprehensive data Science programme with strong industry exposure, I'd recommend the IIM SKILLS Data Analytics Master Course. It's a 6-month live, instructor-led online programme taught by ex-IIT Mumbai faculty, covering Python, machine learning, AI, and big data with real-world projects. The course includes a guaranteed paid internship, one-on-one mentorship, and dedicated placement assistance with access to 550+ hiring partners, giving you everything needed to launch a successful data Science career.​

Yes, you can pursue BCA or a B.Sc. in Data Science even if your main subjects are PCB and computer science.

• BCA (Bachelor of Computer Applications): Focuses on programming, software development, and IT skills. Your computer Science background will give you a head start in coding and logical concepts.

• B.Sc. in Data Science: Emphasizes statistics, mathematics, and programming for analyzing large datasets. Your PCB background (physics, chemistry, and biology) is helpful for logical and analytical thinking, which is useful in data science.

At Skills IT Academy, we guide students from diverse backgrounds to transition into IT and data Science careers, ensuring you get the right skills for your chosen path.

Short Answer: Yes, your combination of PCB and computer Science makes you eligible for both BCA and B.Sc. in Data Science. Skills IT Academy can help you bridge any skill gaps.