<p class="isSelectedEnd">Many graduates are exploring Data Science and Analytics, but it can be difficult to decide which skills to learn first.

<p class="isSelectedEnd">A beginner can start with Python, SQL, statistics and data analysis, followed by visualization and machine learning. Generative AI can then be explored once the basic concepts are understood.

<p class="isSelectedEnd">When comparing a Data Science course in Bangalore, I think students should look beyond course duration. Curriculum, hands-on projects, trainer experience, learning format and interview preparation can all make a difference.

<p class="isSelectedEnd">People searching for NUCOT reviews for freshers or reviews of other training providers should also look at what learners actually studied and whether the reviews relate to the specific course and batch.

How important do you think practical projects are when applying for an entry-level Data Science or Data Analytics position?