The plan is to absorb two large bodies of knowledge by the end of the year, these can be broadly divided into:
- Exploit Development
- Data Science
Data science will take longer and a lot more effort as it includes several knew skillsets that have to be learned. This repo is intended to act as repo for storing notes and tutorial links that I find in the process of learning
Improving exploit development skills using a combination of online courses and lots of practice
- Web Based Exploitation
- Reverse Engineering
- Classic Exploitation (Corelan Tutorial Series)
- Exploit to Metasploit
- Heap Exploitation
Data science is a very large topic and the point is to learn at least the foundations of the topic to be able to apply it for small scale analysis
Courses from various online MOOC websites that can help in understanding the various concepts invovled in
Different topics in mathematics have to be understood to better work on Data Science topics
- Linear Algebra
- Calculus
- Khan Academy Differential Calculus
- [Khan Academy Integral Calculus]
- Statistics and probability