What daily practices help beginners improve in data science?

I started learning data science a month ago and have a basic understanding of machine learning. Right now, the only thing I feel confident about is using the Pandas library.

What are the best ways to improve? What should I focus on daily to strengthen my skills?

Start by building a strong foundation in statistics and mathematics. These are essential for understanding machine learning models.

Practice using data visualization tools like Matplotlib or Seaborn to understand your data better. You could also explore tools like Tableau for more advanced visualizations.

Participate in meetups or online communities focused on data science to learn from others and stay motivated. Try to keep up with the latest trends and research in the field.

Here are some resources you might find helpful:

DataQuest is an excellent platform for learning data science. I used it to successfully transition into the field. Stay consistent, and you’ll improve over time. Good luck!