Embark on a comprehensive Java journey to prepare for tech interviews. Master Java syntax, algorithms, data structures, and problem-solving strategies to elevate your coding skills and secure positions at leading tech companies.
What you'll learn
Apply Java syntax to solve interview-style programming problems
Implement simple and advanced loops for varied coding scenarios
Manipulate strings using common Java operations
Convert values between relevant Java data types
Develop structured solutions to technical assessment problems
Strengthen coding accuracy through hands-on Java practice
Advantages and disadvantages
Advantages
University courses you can audit for free, with lectures, readings and practice quizzes.
A verified certificate from the university if you pay for it.
Self-paced: start any time.
Disadvantages
Graded assignments and the certificate need the paid track.
Audit access can expire a few weeks after the course ends.
Learning is free, but the certificate costs money.
Some parts (graded work, certificate) are paid.
Some points apply to every course of this kind; see how we rank.
Free to audit
Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
Paid: Graded assignments and the verified certificate (Certificate $75). Audit access may end after the course closes.
Before you start
Beginner: General Programming and Algorithms (Java)
Beginner: Requirement Understanding & Implementation (Java)
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performa…
Instructor: Prof. Erik Demaine, Dr. Jason Ku, Prof. Justin Solomon View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY This course is an introduction to mathematical modeling of computational problems, as…
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
View the complete course: http://ocw.mit.edu/6-046JS15 Instructors: Erik Demaine, Srinivas Devadas, Nancy Ann Lynch 6.046 introduces students to the design of computer algorithms, as well as analysis of sophisticated algorithms. License: Creative Commons BY-NC-SA More information at http://ocw.mit.…
View the complete course: http://ocw.mit.edu/6-851S12 Instructor: Erik Demaine Videos of 6.851 Lectures Spring 2012 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu