For Data analytics relevant role, concepts of Statistics, fundamentals of machine learnings and intuition of Machine learning algorithm (majorly regression and classification algos) should be good enough to get started. Its more important to understand the concepts properly and eventually expand your knowledge to algorithms for model building, optimization and performance evaluation.

To get more clarity on the same, I would suggest you to reach out to me since its very open ended question and would need to understand in which field you want to align more. Hope that helps!

Machine learning plays a crucial role in data analytics, and proficiency in ML can significantly enhance your career prospects in this field. Developing a solid foundation in data analytics and machine learning concepts is essential to excel in this domain.

1. Books and Tutorials: Books like "An Introduction to Statistical Learning" and tutorials on Kaggle provide in-depth explanations of ML concepts and techniques.
2. Hands-on Practice: Participate in Kaggle/Analytics Vidhya competitions, work on personal projects

Engage with other ML enthusiasts in online forums and communities to ask questions, share knowledge, and stay up-to-date with the latest advancements.