Interest

Linux: https://www.udemy.com/course/the-linux-command-line-bootcamp
This comprehensive course covers the fundamentals of Linux, essential skill for utilizing tools like Kafka, Docker, and Kubernetes

Kafka: https://www.udemy.com/course/apache-kafka
The course provides foundational concepts of Apache Kafka, covering its ecosystems, architecture and includes a toy project to apply Kafka in real-world scenarios.

Machine Learning Specialization by Andrew Ng
https://www.coursera.org/specializations/machine-learning-introduction
Highly recommended! This is a legendary series of lectures for anyone studying machine leaning.

Search for terms like 'ML from scratch', 'Numpy from scratch', and 'Pandas from scratch' to find tutorials and challenges for building these libraries from the ground up using Python

Book, 'Interpretable Machine Learning'

Linear Algebra
Lecture by Prof. Gilbert Strang
https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010

Statistics
1) OpenIntro Statistics
2) An Introduction to Statistical Learning with Applications in Python
Lecture https://www.edx.org/learn/python/stanford-university-statistical-learning-with-python
Book https://www.statlearning.com
3) The Elements of Statistical Learning