When learning Data science through video lectures, is it best to code along with the videos or code after the video. Give me the advantages and disadvantages then give me your opinion

Coding Along with the Video:

Advantages:

1. Immediate Practice: You get to apply what you're learning immediately, which can help reinforce the concepts.
2. Real-time Problem Solving: If you encounter any issues or errors, you can troubleshoot them in real-time as you follow along with the video.
3. Active Learning: It promotes active learning, which is generally more effective than passive learning.

Disadvantages:

1. Divided Attention: You might miss out on some important points in the video as your attention is divided between listening, watching, and coding.
2. Pace: You have to keep up with the pace of the video, which might not always align with your personal learning pace.

Coding After the Video:

Advantages:

1. Full Attention: You can give your full attention to the video and absorb all the information without any distractions.
2. Self-Paced: You can learn at your own pace, pausing and replaying the video as needed.
3. Better Understanding: You might have a better understanding of the concepts as you're not rushing to code at the same time.

Disadvantages:

1. Delayed Practice: The gap between learning the concept and applying it might make it harder to remember or understand the concept.
2. Lack of Real-time Guidance: If you encounter any issues or errors while coding, you might not remember the solution provided in the video.

In my opinion, the best approach would depend on your personal learning style. If you're a hands-on learner, you might benefit more from coding along with the video. However, if you prefer to fully understand the concept before applying it, you might find it more beneficial to code after the video. You could also try a combination of both - watch the video once to understand the concept and then re-watch it while coding along.