Data Structures in Java (Late 2017 Edition) is an action-packed 8 hours of tips and tricks that professional Java programmers have used for the past 20 years to produce code that is robust and fast. Every lecture is followed by a short quiz to test your learning. Sometimes the questions are easy, others require some research on your side. Over 130 quiz questions in total will help you gauge how well you understood the various data structures.
Data Structures in Java
8h 3m 54s
English
Paid
Data Structures in Java is a 38-lesson 8 hours 3 minutes self-paced course by Java Specialists. Data Structures in Java (Late 2017 Edition) is an action-packed 8 hours of tips and tricks that professional Java programmers have used for the past 20 years to produce code that is robust and fast.
Course facts
- Lessons
- 38
- Duration
- 8 hours 3 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Java Specialists
- Price
- Premium
Who teaches Data Structures in Java? Java Specialists
Java Specialists is the long-running training company of Heinz Kabutz, a South African Java performance specialist who has been publishing the Java Specialists' Newsletter since 2000 — one of the longest continuously running developer publications anywhere. His material is widely respected for depth on the JVM internals and concurrency that most Java tutorials skip.
The CourseFlix listing carries three Java Specialists courses: Mastering Java 17, Java Design Patterns, and Data Structures in Java. Material is paid and aimed at experienced Java developers who want depth on the modern language and its idiomatic patterns rather than yet another framework tutorial.
What lessons are included in Data Structures in Java?
0:00
/ #1: Welcome
All Course Lessons (38)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Welcome Demo | 03:09 | |
| 2 | Computational Time Complexity | 23:00 | |
| 3 | Space Complexity | 04:13 | |
| 4 | Arrays | 15:21 | |
| 5 | Lists | 13:23 | |
| 6 | ArrayList | 14:08 | |
| 7 | Iteration | 07:56 | |
| 8 | CopyOnWriteArrayList | 07:04 | |
| 9 | LinkedList | 08:40 | |
| 10 | Vector | 04:11 | |
| 11 | Stack | 05:35 | |
| 12 | Sorting lists | 49:42 | |
| 13 | Sets | 10:07 | |
| 14 | TreeSet | 35:20 | |
| 15 | ConcurrentSkipListSet | 09:44 | |
| 16 | CopyOnWriteArraySet | 18:03 | |
| 17 | Hashing | 16:26 | |
| 18 | HashSet | 13:44 | |
| 19 | ConcurrentHashMap.newKeySet() | 03:29 | |
| 20 | Maps | 02:12 | |
| 21 | HashMap | 28:35 | |
| 22 | ConcurrentHashMap | 06:29 | |
| 23 | TreeMap | 18:43 | |
| 24 | ConcurrentSkipListMap | 09:03 | |
| 25 | Hashtable | 18:16 | |
| 26 | LinkedHashMap and LinkedHashSet | 13:17 | |
| 27 | Highly Specialized Collections: EnumSet, EnumMap, IdentityHashMap, Properties, WeakHashMap | 19:54 | |
| 28 | Queues and Deques | 04:34 | |
| 29 | ConcurrentLinkedQueue and ConcurrentLinkedDeque | 11:30 | |
| 30 | ArrayDeque | 01:51 | |
| 31 | BlockingQueues | 14:13 | |
| 32 | LinkedBlockingQueue and LinkedBlockingDeque | 06:27 | |
| 33 | ArrayBlockingQueue | 16:01 | |
| 34 | Highly specialized queues: DelayQueue, SynchronousQueue, LinkedTransferQueue | 18:05 | |
| 35 | PriorityQueue and PriorityBlockingQueue | 17:36 | |
| 36 | java.util.Collections | 11:03 | |
| 37 | java.util.Arrays | 01:25 | |
| 38 | Conclusion And Where To Next? | 01:25 |
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Frequently asked questions
What are the prerequisites for this course?
Prior experience with Java programming is recommended for this course. Understanding basic Java syntax and object-oriented programming concepts will help you grasp the data structures and algorithms discussed. The course does not cover introductory Java concepts and focuses directly on data structures and their applications.
What kinds of projects or exercises are included in the course?
The course includes over 130 quiz questions that accompany the lectures. These questions range from simple knowledge checks to more challenging problems that may require additional research. The quizzes are designed to reinforce learning and ensure a solid understanding of the data structures covered, such as arrays, lists, and maps.
Who is the target audience for this course?
The course is tailored for Java programmers who wish to deepen their understanding of data structures. It is suitable for both intermediate and advanced programmers looking to enhance their coding efficiency and performance. Professionals who have been working with Java and want to refine their skills in handling complex data structures will find value in this course.
How does this course compare in depth and scope to similar courses?
This course provides a focused exploration of data structures specifically within the Java programming environment. It covers both fundamental and specialized collections, such as ConcurrentSkipListSet and EnumMap. While many courses provide a broad overview of data structures, this one dives into Java-specific implementations and concurrent collections, making it ideal for those looking to specialize.
What specific tools or platforms are used in the course?
The course covers a variety of Java-specific tools and collections, including java.util.Collections and java.util.Arrays. It also delves into concurrent collections like ConcurrentHashMap and BlockingQueues, providing insights into their use and performance in multi-threaded environments.
What topics are explicitly not covered in this course?
The course does not cover introductory Java programming concepts, focusing instead on data structures for those already familiar with Java. Topics such as basic syntax, control structures, or general programming principles are not included. It also does not address data structures outside of the Java ecosystem.
How much time should I expect to commit to this course?
The course has a total runtime of 8 hours, comprising 38 lessons. In addition to watching the lectures, time should be allocated for completing the quizzes and potentially conducting further research for the more challenging questions. Overall, students should expect to dedicate additional hours beyond the video content for a thorough understanding.