Data Analytics Engineer (They/She/He)

A structured learning path through coding interview preparation that brings together data structures and algorithms fundamentals, recursion and the pattern-based approach to coding questions in one order. It totals 77 chapters and 1,054 lessons, with quizzes, flashcards and a certificate. Use it when you have plenty of material but no clear plan for what to study first.

• Job search
• DSA
• Career

A bundle of five company-specific question courses covering the problems most often reported from Meta, Microsoft, Amazon, Google and Oracle coding rounds, each split into easy, medium and hard sets with worked solutions. It suits candidates who already know the core patterns and have a loop booked at one of these companies, and want to rehearse on the questions those interviewers are known to ask.

• Job search
• DSA
• Career

A practical course on negotiating compensation in tech, from preparing and building a strategy to specific tactics, the full package beyond base salary, handling multiple offers and asking for a raise. It has tailored sections for fresh graduates and experienced engineers. It suits anyone with an offer coming, and anyone who has ever accepted the first number out of discomfort.

• Career
• Job search

A sequenced path of six text-based courses for the engineering manager interview loop, combining coding, system design, microservices patterns, people management scenarios and senior leadership questions. It suits engineers moving into management and managers changing companies, who need to prepare for both the technical and the leadership rounds without piecing a plan together themselves.

• Career
• Leadership
• Job search

MIT's full undergraduate algorithms course from Spring 2020, free on OpenCourseWare with lecture videos, notes, problem sets, quizzes and exams with solutions, taught in Python by Erik Demaine, Jason Ku and Justin Solomon. It covers data structures, sorting, hashing, trees, graph search, shortest paths and dynamic programming with the reasoning behind each, which is what lets the ideas transfer to new problems.

• DSA
• CS fundamentals
• Programming

A very large site of articles on data structures, algorithms and core CS subjects such as operating systems, DBMS, computer networks and OOP, usually with code in several languages, plus practice problems and paid courses. It is handy for revising a university topic or finding a worked example of a specific algorithm. Quality varies because much is community written, so cross-check anything surprising against a textbook or official documentation.

• DSA
• CS fundamentals
• Databases