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Running time of an algorithm (time complexity) that is analyzed with the symbol Big O is one of the most important topics covered in this course. The content of this course is not limited to theoretical topics and the instructor often uses practical examples and exercises to increase learning potential. At the end of this course, the user should be able to select the best possible data structure for various software challenges and problems and identify the strengths and weaknesses of each in a real situation. Basic familiarity with algorithms and topics related to their analysis is a prerequisite for this training course and can help you learn more complex and specialized topics.
Instructors: Maximilian Schwarzmüller
Number of Lessons: 95
Duration: 9 hours and 4 minutes
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