Beginners can start learning data analysis by first understanding basic statistics and Excel skills, which are essential for analyzing and interpreting data. Next, they should explore tools like Python or R for data manipulation and visualization using libraries such as Pandas, Matplotlib, and Seaborn. Online tutorials, YouTube videos, and free platforms like Kaggle offer hands-on practice through real-world datasets. Consistent practice, along with small projects, helps in building confidence and understanding data trends. Joining communities and participating in forums also fosters learning and problem-solving. If you want structured learning, one can consider enrolling in the best data analytics course in Noida to build a solid foundation.