Data Structures & Algorithms: identify three career opportunities and sports
14 topics across 5 chapters
Chapter 1
Software Engineer roles using DS&A fundamentals
Chapter 2
Algorithm Engineer / Research Scientist
Chapter 3
Data Scientist / ML Engineer
1
Interview and portfolio preparation
2 subtopics
2
Portfolio project examples
3
Ethics in sports data and reproducibility
Chapter 4
Sports analytics with DS&A
4
Statistical methods in sports
5
Optimization in sports analytics
6
DS&A projects for sports
Chapter 5
Data structures fundamentals
7
Data sources for sports analytics
8
Big-O and complexity in practice
Study Path Agent